Complex Situations Research Articles

Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction

This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into decision-making processes within organizations, employing a quasi-experimental pretest-posttest design. The study examines the synergistic interaction between Human Intelligence (HI) and GAI across four group decision-making scenarios within three global organizations renowned for their cutting-edge operational techniques. The research progresses through several phases: identifying research problems, collecting baseline data on decision-making, implementing AI interventions, and evaluating the outcomes post-intervention to identify shifts in performance. The results demonstrate that GAI effectively reduces human cognitive burdens and mitigates heuristic biases by offering data-driven support and predictive analytics, grounded in System 2 reasoning. This is particularly valuable in complex situations characterized by unfamiliarity and information overload, where intuitive, System 1 thinking is less effective. However, the study also uncovers challenges related to GAI integration, such as potential over-reliance on technology, intrinsic biases particularly ‘out-of-the-box’ thinking without contextual creativity. To address these issues, this paper proposes an innovative strategic framework for HI-GAI collaboration that emphasizes transparency, accountability, and inclusiveness.

The Anatomy of Leadership: From Aspirational to Dark Side Leadership Traits

Leadership is all about others on your team and in your organization. Surgical professionals are most likely to follow leaders they trust to care about their professional and personal well-being, and are aligned with their values, while setting and implementing organizational strategy. Ironically, in order to lead others well, it is best and most effective if leaders are humble, vulnerable, and willing to learn more about themselves: specifically their behavioral tendencies when they both are at their best and when they are under duress. For us as leaders, this includes understanding our own predominant leadership style(s); and learning how to expand our leadership preferred tendencies to other styles that may be more effective in certain situations. The POSNA leadership program (PLP) enables participants and faculty to study effective leadership principles and theories; evaluate published examples of exceptional and disastrous leadership in volatile, uncertain, complex, and ambiguous (VUCA) real life situations; and have in-depth dialogue on how pediatric orthopaedic surgery leaders can learn from and positively model exemplary leadership characteristics and behaviors. Although our operating rooms, clinics, research and administrative areas are not battlefields, and we are healers not warriors, we and the teams we lead do face uncertain, ambiguous, complex and even volatile situations often enough to require implementation of those refined, high-level skills. Key Concepts(1)Like all leaders, surgeons have preferred leadership styles. Learning about, expanding, and adapting leadership style(s) to specific situations is important and impactful.(2)The most effective leaders are humble, have high integrity, think strategically, are decisive decision makers after input from their trusted professional teams.(3)Trust is the essential ingredient of leading successful teams and organizations. Building trust requires empathy, high task competency, the ability to actively listen and engage in dialogue before and during implementation of plan(s).(4)Volatile, Uncertain, Complex, and Ambiguous (VUCA) dilemmas and challenges occur. Leaders and teams who can manage stress, mobilize necessary resources, and respond in a timely fashion to each VUCA situation are most effective.(5)Disruptive behaviors in our profession are more common than ideal. Responding to unprofessional acts, managing perceptions, and redirection to acceptable behavior lessens safety risk for patients and improves team performance and professional well-being.

The Usage of a Chat-Based Help Service for Young People: A Nationwide Descriptive Study

Adolescents with subclinical depression are at high risk of developing mental disorders. Early interventions are effective but expensive. Affordable and accessible mental health services are needed. This multimethod study obtained its sample from the database of the Finnish national chat room service and describes the usage of the service among young people in Finland. All chats between 1.1-31.12.2018 were extracted and analysed using quantitative and qualitative methods. The usage frequency was analysed with descriptive statistics, while the specific content of the chat topics was first categorised with content analysis and then quantified and analysed using descriptive statistics. The association between the demographic characteristics and the usage were analysed. A total of 839 young people used chat room services. The great majority of the chat users were girls, and half were 12-14 years old. The use of the chat room varied in terms of the number of words and the duration of the chat discussions. Based on the chat room topics, young people had complex life situations with psychological distress, difficulties related to their social living environment, or they were involved in risky behaviour. The gender and the age of the users influenced their chat room usage. The results of this study can be used in the development of mental health services for young people.

Imperialism and Contemporary Global Capitalism: China, Russia and the US

The nature of imperialism has changed over the past 45 years of globalization. The global capitalist system still retains important aspects of state-centric politics and the Western hierarchy but the vast integration of transnational finance and networked production has reshaped relationships and links the big bourgeoise of all countries. The contradictions between the older imperialist system of states, first articulated by Lenin and others of his generation, and contemporary forms of neoliberal domination has created a complex situation of contending forces and influence. The article explores these questions by examining the US/China relationship, and the Russian invasion of Ukraine. The nature of imperialism has changed over the past 45 years of globalization. The global capitalist system still retains important aspects of state-centric politics and the Western hierarchy but the vast integration of transnational finance and networked production has reshaped relationships and links the big bourgeoise of all countries. The contradictions between the older imperialist system of states, first articulated by Lenin and others of his generation, and contemporary forms of neoliberal domination has created a complex situation of contending forces and influence. The article explores these questions by examining the US/China relationship, and the Russian invasion of Ukraine.

Application of Style Leadership Transformational in Islamic Education Institutions

This research aims to analyze the application of transformational leadership style in Islamic educational institutions. In the context of Islamic educational institutions, the application of this leadership style is expected to improve the quality of education, build a positive work culture, and encourage the holistic development of the potential of students and staff. This research aims to explore the importance of the role of transformational leadership in Islamic educational institutions and its impact on various aspects of operations and learning. The research uses a qualitative approach with this type of literature study research using data collection techniques using several literature studies such as books, scientific journals, and supporting documentation. The results of this research show that transformational leadership is critical in facing contemporary challenges and ensuring that Islamic educational institutions do not only focus on academic achievement but also on developing student character through Islamic values. There are many phenomena that researchers have found in several Islamic educational institutions, for example: many teachers resign every year, they lack motivation and awareness of their duties as teachers or carry out their duties only because of rewards or punishments, and a lack of trust and loyalty towards school institutions. By implementing this transformational leadership style, it provides several positive impacts, the role of the principal is a model, encouraging subordinate performance, harmonizing the work environment, empowering employees, acting based on a value system, continuously improving their abilities, and having the ability to overcome complex situations. So with this research, it is hoped that the results of this research will be that this transformational leadership style can be applied to Islamic educational institutions, that have not yet used this leadership style, especially institutions that have a large number of students, both private and state because the results show that the transformational leadership style is very effectively applied to educational institutions today.

CCBA-NMS-YD: A Vehicle Pedestrian Detection and Tracking Method Based on Improved YOLOv7 and DeepSort

In this paper, we propose a vehicle pedestrian detection and tracking method based on the improved YOLOv7 and DeepSort algorithms. We aim to improve the quality of vehicle pedestrian detection and tracking, addressing the challenges that current commercially available autonomous driving technologies face in complex and changing road traffic situations. First, the NMS (non-maximum suppression) algorithm in YOLOv7 is replaced with a modified Soft-NMS algorithm to ensure that targets can be accurately detected at high densities, and second, the CCBA (coordinate channel attention module) attention mechanism is incorporated to improve the feature extraction and perception capabilities of the network. Finally, a multi-scale feature network is introduced to extract features of small targets more accurately. Finally, the MobileNetV3 lightweight module is introduced into the feature extraction network of DeepSort, which not only reduces the number of model parameters and network complexity, but also improves the tracking performance of the target. The experimental results show that the improved YOLOv7 algorithm improves the average detection accuracy by 3.77% compared to that of the original algorithm; on the MOT20 dataset, the refined DeepSort model achieves a 1.6% increase in MOTA and a 1.9% improvement in MOTP; in addition, the model volume is one-eighth of the original algorithm. In summary, our model is able to achieve the desired real-time and accuracy, which is more suitable for autonomous driving.

MIGRASI ROHINGYA: TANTANGAN INTEGRASI SOSIAL DAN EKONOMI DI NEGARA PENERIMA

Rohingya migration has become a complex challenge that requires in-depth understanding and a holistic response from various relevant parties. In this context, this article discusses various aspects that influence the social, economic and ecological integration of Rohingya migrants in receiving countries, with a special focus on Indonesia. The research method used is a qualitative approach with descriptive methods to explore the phenomenon of Rohingya migration and the challenges of social and economic integration in receiving countries. The descriptive method was chosen because the focus of this research is to describe and explain complex situations from an in-depth and comprehensive perspective. The data collected in this research is descriptive, including words, images and information from various sources, such as books, scientific journals and previous research that are relevant to the topic under study. The results of this research show that there are several main challenges faced by Rohingya migrants, including limited access to education, health services and employment, as well as social discrimination and stigmatization. Apart from that, unclear legal status, cultural and religious differences, as well as political and humanitarian instability also affect their integration process. In addition, this article also describes the environmental impacts of Rohingya migration and the importance of considering ecological factors in natural resource management and infrastructure development. To address these challenges, cross-sectoral and cross-institutional collaboration is key, with a focus on inclusive approaches, human rights protection and environmental sustainability. Diplomatic efforts are also important in resolving the root causes of the Rohingya crisis in their home country. With strong cooperation and commitment to holistic solutions, Indonesia has the potential to be a leader in responding to the challenges of social, economic and ecological integration in the context of Rohingya migration.

Pelatihan Deteksi Dini Konflik Sosial dan Keagamaan pada Masa Pemilu di Kabupaten Kerinci dan Kota Sungai Penuh

The early detection of conflict is a crucial process in conflict prevention to avoid more complex situations in society. Politically competitive activities have the potential to trigger social division and broader conflicts. This community service initiative aims to provide concrete solutions for religious-social conflicts resulting from the political process. The initiative is implemented through training and mentoring for members of the Election Supervisory Board (Bawaslu) in Kerinci District and Sungai Penuh City, involving relevant stakeholders such as the National Unity and Politics Agency (Kesbangpol), Regional Police (Polres), and the Forum for Interfaith Harmony (FKUB). Participants in the training displayed high enthusiasm by actively participating in Q&A sessions, group discussions, presentations, and providing reflections. Qualitatively, the training has positively impacted participants’ insights, attitudes, and skills in analyzing and detecting conflicts in society. Participants gained in-depth knowledge of the concept of early conflict detection and methods to identify potential conflicts before reaching higher levels of escalation. In terms of attitude, the training was effective in shaping a positive mindset and sensitivity to conflict issues, reinforcing peace values, and encouraging participants to adopt a proactive approach to conflict prevention efforts. Finally, through case studies and simulations, participants acquired the necessary skills to identify early signs of conflict and develop appropriate handling strategies.

Promoting precision surface irrigation through hydrodynamic modelling and microtopographic survey

Precision irrigation aims to deliver water and nutrients to crops at exactly the right time, in the right place and in the right amount. While surface irrigation is often perceived as less precise, accurate water distribution, wise use of resources and high efficiency can still be achieved with careful land preparation, astute irrigation management and rigorous performance monitoring. In this study, we advocate the innovative concept of Precision Surface Irrigation, centered around three key design and operational principles that are: well-organized field geometry (and microtopography), precise control of hydraulic-hydrological variables and, finally, regular performance evaluation. These pillars are then integrated into a simulation environment capable of capturing the intricacies of surface irrigation dynamics. Conducted in northern Italy's Padana plain, the study contrasts one-dimensional (WinSRFR) and two-dimensional (IrriSurf2D) irrigation dynamic modeling. Data collection includes boundary geometries, inflow rates, intervention durations, and microtopography, facilitating spatial performance assessment from both the models. The results show that the versatility of the two-dimensional modelling approach was able to reproduce well the observed water depths and the phases of water advance and depletion both in time and space within the studied border irrigation strips, even in complex situations where the strips were hydraulically connected. The RMSE between observed and simulated maximum water depth and waterfront advance time was less than 2.1 cm and 1.9 min, respectively. The two-dimensional approach was also able to detect the cross variability of irrigation dynamics, and to provide a spatial assessment of irrigation performance at high resolution. In conclusion, while the one-dimensional hydrodynamic approach to describing the hydraulic behavior of surface irrigation and field-scale irrigation performance remains valid, the two-dimensional approach provides, in our case study and reasonably elsewhere, a valid simulation environment for spatially characterizing irrigation dynamics in the context of Precision Surface Irrigation.

A novel therapy for spontaneous previable amniotic fluid leak by using intra‐amniotic platelet rich fibrin and plasma: A case report

AbstractIntroductionPreviable premature rupture of membrane (PV‐PROM) is a complex clinical situation posing considerable risks to the foetus. There is an extreme paucity of management options and clear guidelines in the literature for this dismal situation. This is the first report on usage of a novel combination of cellular therapeutic agents in a case of PROM. This study reports the earliest gestational age at which a case of spontaneous PV‐PROM (sPV‐PROM) has been successfully dealt by active management and, the longest period of continuation of pregnancy in a singleton sPV‐PROM for a total of 149 days.ObjectiveTo study the benefit of Intraamniotic Injection of PRF and PRP (IFPRP) in an index case of PV‐PROM.DesignThis is a case report of a 26‐year‐old woman with a recurrent, sPV‐PROM at 14 weeks 2 days with a previous pregnancy loss due to PV‐PROM at 18 weeks managed in a private reproductive health hospital in Mysore, India.MethodsOur subject underwent an elective cervical stitch at 14 weeks. She had confirmed, repeated episodes of leak after 30 h of the procedure. Apart from aggressive management to control infection with vaginal asepsis, an Intraamniotic injection of 9 mL of autologous PRF and 4.5 mL of PRP was done under ultrasound guidance. The pregnancy was monitored closely for signs of infection and foetal wellbeing.ResultsThe amniotic fluid leak stopped immediately after IFPRP for 36 h. After two more bouts of small leak, it stopped completely. She delivered a healthy baby of 3.4 kg at 35 weeks 4 days. The mother and baby did well postnatally.ConclusionOur protocol for fixing the leak is simple, easy to use, and can be done in resource‐poor settings which we consider is a big advantage. Further studies are needed to explore its potential in treating PROM.

New adhesive rehabilitation technique with indexed occlusal tabletops made by 3D printing technology.

In oral rehabilitation, a full mouth minimal invasive treatment can represent a major challenge for the patient and the dentist. The purpose of this article is to present a new technique to restore eroded teeth and recover the vertical dimension with a simple and predictable technique. Occlusal tabletop restorations are a suitable conservative option to restore anatomy and vertical dimension augmentation but highly sensitive. The cementation of those restorations without stable landmarks, the cement excess removal, the insertion path, or the time needed are some of the difficulties can be faced. Now a days with the new CAD-CAM techniques is possible to develop a new occlusal tabletop manufacturing alternative utilizing 3D-printed technology by unifying the restorations with a customized connector that allows us to print several onlays at same time, as a single object, also being cemented at once. This protocol reduces the technique sensitivity of a vertical dimension oral rehabilitation process, reduce the chair time, enhancing the patient-comfort and delivers a unique way to restore dental lost anatomy as a definitive or temporary way with printing materials. With the advent of new CAD-CAM 3D printing materials, which are increasingly versatile and gaining favor among clinicians, it is now possible to address complex clinical situations with greater predictability. This technology enables the development of treatment solutions that are both effective and efficient, consequently reducing clinical time for the patient.

Feedback, learning and becoming: Narratives of feedback in complex performance challenges.

Becoming a general practitioner (or family medicine specialist) is challenging, as traineeslearn to manage complex and ambiguous situations. Feedback is a key component of this learning. Although research has tended to focus on feedback's momentary processes and impacts, there is value in seeking to understand the work it does over time and how trainees position themselves across multiple feedback encounters. We ask: how do newly qualified GPs narrate themselves and their experiences with complex performance challenges? Within these narratives, what is the role of feedback? The research adopts a holistic and sequential narrative analysis approach, with in-depth narrative interviews of 16 general practice trainees who had just completed their training requirements. The analysis involved restorying the participant narratives chronologically. Each narrative formed a unit of analysis where narrative commonalities across plots, characters, emotions and the role of feedback were interpreted. Four plotlines within GP trainees' stories of complex performance challenges were identified: Journeyperson, Hero's Quest, Solo Journeyer and Endless Struggle. Trainees, supervisors and feedback are positioned differently within these plotlines. Narratives were saturated with emotions. The plotlines bring together an alternative way of understanding how feedback, learning and becoming are woven together. They illustrate how multiple interactions with patients, supervisors, peers and systems thread together into an overall trajectory. How a trainee positions themselves as protagonists and who they characterise as their antagonists can help direct the focus of supervisors' feedback conversations.

Quantifying the Health–Economy Trade-Offs: Mathematical Model of COVID-19 Pandemic Dynamics

The COVID-19 pandemic has presented a complex situation that requires a balance between control measures like lockdowns and easing restrictions. Control measures can limit the spread of the virus but can also cause economic and social issues. Easing restrictions can support economic recovery but may increase the risk of virus transmission. Mathematical approaches can help address these trade-offs by modeling the interactions between factors such as virus transmission rates, public health interventions, and economic and social impacts. A study using a susceptible-infected-susceptible (SIS) model with modified discrete time was conducted to determine the cost of handling COVID-19. The results showed that, without government intervention, the number of patients rejected by health facilities and the cost of handling a pandemic increased significantly. Lockdown intervention provided the least number of rejected patients compared to social distancing, but the costs of handling the pandemic in the lockdown scenario remained higher than those of social distancing. This research demonstrates that mathematical approaches can help identify critical junctures in a pandemic, such as limited health system capacity or high transmission rates, that require rapid response and appropriate action. By using mathematical analysis, decision-makers can develop more effective and responsive strategies, considering the various factors involved in the virus’s spread and its impact on society and the economy.

Suffering Together: Photos and Stories of Nsukka Residents During Nigeria's 2023 Currency Redesign Crisis

The Central Bank of Nigeria's (CBN) attempt to redesign the 200, 500, and 1000 naira notes by December 2022 led to a cash crunch and humanitarian crisis, exposing the federal government's shortsightedness and inherent weakness. Amidst the crisis that peaked between late January and February 2023, opportunities for social connections and shared experiences emerged. In this essay and visual archive, I explore the financial crisis phenomenon in Nsukka metropolis, Southeastern Nigeria, from a historical perspective, integrating personal insights, respondents' views, and archival sources. Analysis of observational notes, visual and textual data through the lens of Critical Theory reveals the importance of social connection and cultural ideology among Nsukka residents during a difficult time in Nigerian history. Photographic images of crowded bank scenes and remarks like "You are not the only person" evoke personal and public misery and frustration during the currency redesign crisis. The argument is that those in power can create complex situations like artificial scarcity of valuable commodities for questionable reasons, while the masses bear the brunt and enact and demonstrate servility in the process.

Combining EEG and eye-tracking in virtual reality: Obtaining fixation-onset event-related potentials and event-related spectral perturbations.

Extensive research conducted in controlled laboratory settings has prompted an inquiry into how results can be generalized to real-world situations influenced by the subjects' actions. Virtual reality lends itself ideally to investigating complex situations but requires accurate classification of eye movements, especially when combining it with time-sensitive data such as EEG. We recorded eye-tracking data in virtual reality and classified it into gazes and saccades using a velocity-based classification algorithm, and we cut the continuous data into smaller segments to deal with varying noise levels, as introduced in the REMoDNav algorithm. Furthermore, we corrected for participants' translational movement in virtual reality. Various measures, including visual inspection, event durations, and the velocity and dispersion distributions before and after gaze onset, indicate that we can accurately classify the continuous, free-exploration data. Combining the classified eye-tracking with the EEG data, we generated fixation-onset event-related potentials (ERPs) and event-related spectral perturbations (ERSPs), providing further evidence for the quality of the eye-movement classification and timing of the onset of events. Finally, investigating the correlation between single trials and the average ERP and ERSP identified that fixation-onset ERSPs are less time sensitive, require fewer repetitions of the same behavior, and are potentially better suited to study EEG signatures in naturalistic settings. We modified, designed, and tested an algorithm that allows the combination of EEG and eye-tracking data recorded in virtual reality.

A model for developing the readiness of future teachers to design a psychologically safe environment

During the period of paradigmatic changes in the life of society, there is a growing trend of uncertainty, which determines emotional tension, increased levels of aggression and anxiety. The dynamism and transitivity of social processes determine the choice of strategy for social behavior and human development in situations of unpredictability and complexity. In these conditions, the problem of creating psychologically comfortable conditions for the comprehensive development of an individual, his/her security in the process of interaction between subjects of the educational process, which requires teachers to be prepared to design and create a psychologically safe educational environment, acquires special significance. In this regard, the research problem lies in the scientific substantiation and practical development of a model for developing the readiness of future teachers to design a psychologically safe environment. The goal of the research is to develop a model for developing the readiness of future teachers to design a psychologically safe environment. The methodological basis of the research is represented by a set of methods of analysis, modeling, design, and experiment.The results of the research: various approaches to the content of a future teacher’s readiness to design a psychologically safe educational environment have been analyzed; the structural components of readiness have been identified, the criteria and indicators of its formation have been determined. A model has been designed for developing the readiness of a future teacher to design a psychologically safe educational environment.Key conclusions: the relevance of the problem of developing readiness to design a psychologically safe environment in the process of professional training of future teachers is due to modern social transformations; The model for the formation of readiness is a set of target, content-procedural, technological and evaluative-reflective components, focused on the formation of motivation in teaching activities, improving the design competence of future teachers, and developing personal and professional qualities of future teachers.

Calibrating care: Family caregiving and the social weight of sympathy (tình cảm) in Vietnam

AbstractThis article explores family caregiving in Vietnamese households affected by type 2 diabetes. Drawing on existential phenomenology and on fieldwork conducted in northern Vietnam, I develop the concept of care calibrations as a tool to understand how family members respond socially and morally to the needs for care that diabetes confronts them with. The concept of care calibrations highlights how chronic care is undertaken as an ethical endeavor within domestic environments characterized by multiple care needs. The article explores how caregivers find their bearings in complex care situations by looking toward dominant moral standards while also adjusting pragmatically to the contingencies of domestic lives, placing themselves in others’ situations. On this ethnographic basis, the article calls for more sustained anthropological attention to the social implications of human capacities for sympathetic co‐living and particularly to the intermediate realm between selves and others where capacities for moral imagination reside.

Exploring the care coordination experiences of professionals and caregivers of youth with acquired brain injuries in rural areas

Purpose Acquired brain injuries (ABIs) can have devastating effects on children and their families. Families living in rural communities experience unique barriers to receiving and coordinating care for complex medical needs, but little research has examined those barriers for rural youth with ABIs. Materials and Methods This qualitative study explored the experiences of rural adults caring for children with ABIs through interviews with six caregivers, three school staff members, and three medical professionals who had treated at least one child with an ABI. Results Themes in their accounts include difficulty navigating complex situations, support from small communities, isolation and loneliness, the need for more professional education about ABI, and feelings of hope. Barriers to quality care coordination include navigating complex situations, access to transportation, and a lack of communication and education from healthcare agencies. Facilitators of rural care coordination include support from small communities and interagency communication. Conclusions The results support the need for more comprehensive coordination among rural agencies involved in ABI care. Suggestions for care improvement include providing flexibility due to transportation barriers, capitalizing on the benefits of a small and caring community, and providing healthcare and education professionals with more education about ABI interventions.

Insightful inspection of the nonlinear instability of an azimuthal disturbance separating two rotating magnetic liquid columns

The nonlinear stability examination of two revolving magnetized liquid columns connecting two completely submerged fluids in a permeable region is the aim of the existing paper. Two endless vertical cylinders occupied with two magnetic fluids make up the present structure. Significantly, the disturbance at the border displays an azimuthal behavior. The entire structure is activated by an azimuthal unchanging magnetic field (MF). The increasing interest in the atmospheric and oceanic dynamics is the primary motivation in exploring this problem. To relax the complication of the mathematical processes, the viscous potential theory (VPT) is established. The motion is assessed using three basic coexistent field formulations: Maxwell's formula, Brinkman's formula, and the continuity condition, in the construction of the Coriolis force and centrifugal implications. The explanations of the linearized formula of motion produce a nonlinear categorizing diffusion structure because of the implications of the nonlinear boundary conditions (BCs). The non-perturbative approach (NPA) based on the He's frequency formulation (HFF) is employed to transform the nonlinear characteristic ordinary differential equation (ODE) into a linear one. A short description of the NPA is also presented. The nonlinear ODE with real and imaginary coefficients is exposed by the stability analysis. The stability requirements are implemented using only a nonlinear analysis. As demonstrated, as an unusual state, it is exposed that ignoring the Weber number removes all complex items of the nonlinear formulation. Physically, this means the absence of the angular velocities from the physical model. For both the real and complex situations of the original equation, the stability remains unchanged. It is found that the azimuthal MF, rotating parameter, and Darcy’s numeral have a maintenance impact. On the other hand, the azimuthal wave numeral has a destabilizing one. Several polar designs are drawn to agreement the stability situations.

Development and external validation of machine learning-based models to predict patients with cellulitis developing sepsis during hospitalisation

ObjectiveCellulitis is the most common cause of skin-related hospitalisations, and the mortality of patients with sepsis remains high. Some stratification models have been developed, but their performance in external validation...