Identification Of Individuals Research Articles

Study on the Impact of LDA Preprocessing on Pig Face Identification with SVM

In this study, the implementation of traditional machine learning models in the intelligent management of swine is explored, focusing on the impact of LDA preprocessing on pig facial recognition using an SVM. Through experimental analysis, the kernel functions for two testing protocols, one utilizing an SVM exclusively and the other employing a combination of LDA and an SVM, were identified as polynomial and RBF, both with coefficients of 0.03. Individual identification tests conducted on 10 pigs demonstrated that the enhanced protocol improved identification accuracy from 83.66% to 86.30%. Additionally, the training and testing durations were reduced to 0.7% and 0.3% of the original times, respectively. These findings suggest that LDA preprocessing significantly enhances the efficiency of individual pig identification using an SVM, providing empirical evidence for the deployment of SVM classifiers in mobile and embedded systems.

Deciphering the Role of Calcium Signaling Pathway‐Associated Single Nucleotide Variants in Susceptibility to Hypertension

ABSTRACTBackgroundAs a complex disease, hypertension (HTN) is influenced by both genetic and environmental factors and their interaction. The calcium signaling pathway is known to be involved in the regulation of blood pressure, and dysfunction in this pathway may contribute to the development of hypertension. Genome‐wide association studies (GWAS) have identified several genes in the calcium signaling pathway associated with susceptibility to HTN, including PLCB1, ATP2B1, and ADRB1. The aim of this study was to investigate the possible association between single nucleotide variants (SNVs) in the calcium signaling pathway and HTN.MethodsWe genotyped three SNVs: rs1801253 (ADRB1), rs6108168 (PLCB1), and rs17249754 (ATP2B1) in a population of 131 patients with hypertension and 115 healthy controls from Kermanshah province, Iran.ResultsOur results showed a strong and significant association between the G allele and the GG and CG genotypes of the rs1801253 variant in the ADRB1 gene and susceptibility to hypertension. However, no significant association was found for the other two SNVs. In addition, the presence of the GCG haplotype (alleles from left to right: rs1801253, rs6108168, and rs17249754) appeared to confer a protective role against HTN.ConclusionThis study has made a significant contribution towards enhancing the comprehension of hypertension development, as well as the early identification of individuals who are at risk.

Security Infrastructure Service and Information Security Management Capability Audit to Improve System Security in Preventing Cyber Attacks using COBIT 2019

Cyber-attacks have become a serious concern in recent years, as hackers can attack systems, databases, and even steal personal data from a particular organization's database and sell it on the dark web. The individual identity data will be used to carry out various financially profitable activities such as online fraud, selling data containing detailed account information, and asking for ransom from data owners. The failure of an organization to protect data assets from cyber-attacks stems from several internal factors such as the vulnerability of the information security system it has, the less than optimal awareness of users in the organization of the importance of maintaining safe behavior in cyberspace, and routine processes related to information security that are missed. COBIT 2019 can be used as an audit framework to assess the level of maturity of the governance. Network infrastructure services in an organization can be measured in terms of the level of capability in terms of the application of technology assets and their configuration using the DSS05 and APO13 domains. This study aims to provide guidelines in assessing system security infrastructure in IT governance by assessing areas that are still not comply with the framework used, and providing recommendations for improving these inconsistencies so that the level of infrastructure capability will be maximized then.

Practices and perspectives of genetic counselors about high‐risk pancreatic cancer screening: A cross‐sectional survey study

AbstractSurveillance of individuals at high‐risk of pancreatic cancer using CAPS criteria and other expert consensus guidelines may result in earlier pancreatic cancer detection in some cases; therefore, clinicians are responsible for appropriately identifying and referring these individuals to appropriate high‐risk pancreas cancer screening programs. This study aimed at assessing the perspective, knowledge, and clinical practices of cancer genetic counselors surveyed nationwide towards identification of individuals at high‐risk of pancreatic cancer and utilization of high‐risk pancreatic cancer screening programs. One hundred and eighty‐nine genetic counselors who listed “Cancer” as their specialty on the NSGC website responded to the survey, which consisted of multiple practice‐based, knowledge‐based, and clinical vignette‐based questions. Almost 70% of the genetic counselors surveyed accurately identified when an individual would be considered for high‐risk pancreatic cancer screening, when using 2019 CAPS consensus guidelines as a benchmark. Access to high‐risk pancreatic cancer screening programs and increased provider comfort in counseling individuals at high‐risk of pancreatic cancer were found to be statistically associated in accurate identification of high‐risk individuals in three of the clinical vignettes. Additionally, 60% of genetic counselors reported the majority of high‐risk individuals accept a referral for pancreatic cancer screening, which shows a high uptake of patients accepting referrals from genetic counselors. Genetic counselors have high accuracy in determining who is eligible for high‐risk pancreas screening; thus, they are the ideal providers for initiating referrals to high‐risk pancreatic cancer screening programs. Genetic counseling programs and high‐risk pancreatic cancer screening programs should establish a close working relationship to optimize the identification and subsequent referrals of high‐risk individuals eligible for pancreas cancer screening.

Double Marginality, Historical Memory, and Trauma in Uzma Aslam Khan's the Miraculous True History of Nomi Ali: A Trauma Studies Perspective

The study analyses Uzma Aslam Khan’s novel, The Miraculous True History of Nomi Ali, using the intersections between post colonial feminism and Cathy Caruth's trauma theory to engage with the issues of trauma, historical memory and double marginality to explore the colonial enterprise. It engages Nomi Ali’s experiences and battles as she lives in postcolonial Pakistan, struggling to come to grips with her identity and past traumas. The intergenerational transmission of trauma among women from different ethnic and religious backgrounds is also the focus of this research paper. This research, therefore, investigates how past traumas, oppression, and patriarchy are represented in this novel concerning their distinctive identities and colonial history. It further tries to explore the notion of double marginality through Nomi Ali’s story, where gender, culture, and historical violence meet. The study aims at exploring the historical memory inscribed on an individual and collective identity, besides describing trauma that makes up the part of women who always form a margin in every sphere. It would deepen the understanding of Pakistani literature in English as contributing to the global debate of trauma, memory, and identity.

Kewarganegaraan dan Identitas

Citizenship and identity are two concepts that are interrelated but differ in their definition, role and influence on individuals and society. Citizenship gives a person legal status as an official member of a country, which is accompanied by legally enforceable rights and obligations. Meanwhile, identity is a more personal aspect, including factors such as culture, ethnicity, religion and language that shape an individual's identity. Citizenship and identity are two concepts that are closely related to each other in the context of modern state life. Both form an important foundation in understanding the relationship between the individual and the state and a person's position in society. The concept of citizenship not only includes legal-formal aspects, but also involves complex social, cultural and political dimensions. In the era of globalization, understanding of citizenship and identity is undergoing significant transformation. Increasing global mobility, cross-border migration, and developments in information technology have created more fluid and multilayered forms of identity. This challenges the traditional concept of citizenship which was previously limited to territorial ties and a single nationality. A more inclusive and adaptive approach is needed in understanding and managing the dynamics of citizenship and identity to create a more democratic and just society.

Triglyceride glucose index–body mass index as a predictor of coronary artery disease severity in patients with H-type hypertension across different glucose metabolic states

BackgroundThe triglyceride glucose-body mass index (TyG-BMI) is considered to be a reliable surrogate marker of insulin resistance (IR). However, limited evidence exists regarding its association with the severity of coronary artery disease (CAD), particularly in hypertensive patients with different glucose metabolic states, including those with H-type hypertension. This study aimed to investigate the relationship between TyG-BMI and CAD severity across different glucose metabolism conditions.MethodsThis retrospective cohort study included 1537 hypertensive patients who underwent coronary angiography. The TyG-BMI was categorized into tertiles and analyzed using logistic regression models and restricted cubic spline (RCS) models to assess its association with multi-vessel CAD. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of TyG-BMI in detecting the severity of CAD in different glucose metabolism states, including normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM). The above method has also been applied to populations of H-type hypertension patients.ResultsThe TyG-BMI was significantly associated with the severity of multi-vessel CAD in hypertensive patients (Odds ratio [OR] 1.043, 95% CI 1.032–1.053). In the diabetic subgroup, after adjusting for risk factors, the risk of multi-vessel CAD in the T3 groups was 3.836-fold (95% CI 1.763–8.347; P = 0.001) higher than in the T1 group, with a non-linear dose–response relationship (P for non-linearity = 0.017). In H-type hypertension patients, the TyG-BMI was also significantly correlated with multi-vessel CAD (OR 5.248, 95% CI 1.821–15.126, P = 0.002) in the DM group. The ROC analysis revealed that TyG-BMI had the highest predictive value for multi-vessel CAD in diabetic patients, with an AUC of 0.720 (95% CI 0.661–0.780, P < 0.001).ConclusionsThe TyG-BMI serves as a robust predictor of CAD severity in hypertensive patients, particularly those with diabetes and H-type hypertension. And the non-linear dose–response relationship between TyG-BMI and multi-vessel CAD in diabetic patients underscores its potential clinical utility. This index could serve as a valuable tool for the early identification of individuals at high risk.

Mengulas Peran Imajinasi dalam Pencarian Kebenaran dan Keyakinan Perspektif Immanuel Kant dan Cornelius Castoriadis

This research aims to examine the extent to which imagination plays a role in the search for truth and the formation of human beliefs, with a focus on the perspective of Immanuel Kant and Cornelius Castoriadis. Kant, within the framework of his critical philosophy, underscores the central role of imagination in shaping our aesthetic, moral and knowledge experiences. Imagination, for him, is the power of synthesis that connects empirical data with pure concepts of reason. Meanwhile, Castoriadis sees imagination as a creative force that underlies the formation of society and individual identity. Imagination, in Castoriadis's perspective, is the source of all social institutions, values and norms. This study will carry out an in-depth comparison between Kant's and Castoriadis' views regarding the role of imagination. It is hoped that this comparative analysis will reveal the points of contact and differences between the two philosophers, as well as provide a more nuanced understanding of the dynamics of imagination in human life. This research uses a conceptual analysis approach to analyze and compare the ideas of the two philosophers. In this way, it is hoped that it can contribute to philosophical studies regarding epistemology, especially regarding the formation of knowledge and reality. Apart from that, this study is also relevant to the study of social philosophy, because imagination has a central role in the formation of society and collective identity.

Multiplex lateral flow test sensitivity and specificity in detecting influenza A, B and SARS-CoV-2 in adult patients in a UK emergency department

BackgroundRapid identification of individuals with acute respiratory infections is crucial for preventing nosocomial infections. For rapid diagnosis, especially in EDs, lateral flow devices (LFDs) are a convenient, inexpensive option with...

From Inclusion to Transformation: Politics &amp; Gender as a Critical Actor for Intersectional Political Science

Abstract The popularization of intersectionality within political science, feminist scholarship, and activism has constituted nothing less than a paradigm shift (Hancock 2007a). Politics &amp; Gender has been a critical actor in enabling change within our discipline. However, this development has been hard won and there remains much to be done to operationalize intersectionality in line with Black feminist theory, and to center women of color and other intersectionally marginalized groups within scholarship. This article both traces the evolution of intersectional approaches within Politics &amp; Gender over two decades and articulates pathways for future gender and politics research which aims to employ intersectionality. We employ quantitative and qualitative analysis of articles’ foci on different inequality structures and categories, their methodological approaches, and how they employ the concept of intersectionality. Subsequently, we argue in favor of approaches which center rather than include diverse intersectionally marginalized groups, emphasize the normative commitments of Black feminist theory to transformative justice rather than liberal inclusion, analyze intersectional structures and institutions as well as individual experience and identity, treat the constitution of categories and groups as contextual and contingent, dare to address the dangers of “women” as a theoretical starting point, and challenge fundamental raced-gendered assumptions of liberal democracy.

Positive and negative affect differentially relate to alcohol and cannabis use in LGBTQ+ and cisgender-straight heavy-drinking adults: Results of an ambulatory assessment study.

Previous research has found that momentary positive affect precedes alcohol use, whereas results have been more mixed for negative affect. This study replicates and builds upon this literature by using a heavy drinking sample, half lesbian, gay, bisexual, trans, queer/questioning, and other minoritized sexual and gender identities (LGBTQ+) individuals. This study found that positive affect was related to subsequent alcohol use, but the relation was weaker for LGBTQ+ individuals compared to cisgender-straight individuals. Negative affect was negatively related to alcohol use in the overall sample, but LGBTQ+ individuals reported drinking more drinks following increased negative affect, and this effect was not significant for cisgender-straight individuals. Finally, positive affect was related to subsequent cannabis use, and negative affect was negatively related to cannabis use, which did not differ based on sexual orientation and gender identity. Future research should explore the impact of minority stress on the association between affect and drinking behaviors to understand the differential role of affect on LGBTQ+ individual's substance use. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Hereditary Breast Cancer: Comprehensive Risk Assessment and Prevention Strategies

Women carrying pathogenic/likely pathogenic (P/LP) variants in moderate- or high-penetrance genes have an increased risk of developing breast cancer. However, most P/LP variants associated with breast cancer risk show incomplete penetrance. Age, gender, family history, polygenic risk, lifestyle, reproductive, hormonal, and environmental factors can affect the expressivity and penetrance of the disease. However, there are gaps in translating how individual genomic variation affects phenotypic presentation. The expansion of criteria for genetic testing and the increasing utilization of comprehensive genetic panels may enhance the identification of individuals carrying P/LP variants linked to hereditary breast cancer. Individualized risk assessment could facilitate the implementation of personalized risk-reduction strategies for these individuals. Preventive interventions encompass lifestyle modifications, chemoprevention, enhanced surveillance through breast imaging, and risk-reducing surgeries. This review addresses the current literature’s inconsistencies and limitations, particularly regarding risk factors and the intensity of preventive strategies for women with P/LP variants in moderate- and high-penetrance genes. In addition, it synthesizes the latest evidence on risk assessment and primary and secondary prevention in women at high risk of breast cancer.

Spatio-Temporal Change of Skin and Oral Microbiota: A Longitudinal Study of Microbial Diversity and Stability.

The human skin and oral cavity harbor complex microbial communities, which exist in dynamic equilibrium with the host's physiological state and the external environment. This study investigates the microbial atlas of human skin and oral cavities using samples collected over a 10-month period, aiming to assess how both internal and external factors influence the human microbiome. We examined bacterial community diversity and stability across various body sites, including palm and nasal skin, saliva, and oral epithelial cells, during environmental changes and a COVID-19 pandemic. The skin microbiome was confirmed to display spatial and temporal stability compared to the oral microbiome, particularly the oral epithelium, which was susceptible to changes in the host's physiological state and immune response. Moreover, significant differences in the microbial community structure among the 4 sample types were observed, and 87 distinct bacteria biomarkers were identified. The random forest prediction model achieved an overall prediction accuracy of 95.24% across the four types of samples studied. Additionally, nasal skin samples showed significant promise for individual identification through profiling the skin microbiota. These findings highlight the potential of skin and oral microbiota as forensic markers for inferring body sites and identifying individuals. In summary, despite facing limitations such as a small cohort size and the need for broader validation, this research provides an overall perspective and initial insights for refining experimental designs and conducting in-depth research in various microbial research fields.

Time to consider health services dedicated for adults living with cerebral small vessel disease: Report of a ESO scientific seminar.

Cerebral small vessel disease (cSVD) is a highly prevalent disorder leading to physical, cognitive and functional decline. We report key barriers in the management of individuals with cSVD, the potential benefit of cSVD-dedicated health services, and evidence from existing models of care for adults with cSVD. We examined information from a scientific seminar developed between seven experts in cSVD during the eighth European Stroke Organisation Conference that discussed the optimal health care for adults with cSVD and what health services dedicated to cSVD should include. Barriers in cSVD care include unrecognised symptoms and modifiable risk factors, heterogeneity of clinical presentations, inefficient inter/intra-clinical services communication/organisation, and uncertainties regarding what assessments/treatments should be routinely done, when and by whom. However, existing health services and research studies suggest models of care in cSVD. Multi-step approaches can be used for identification and aetiological workup in individuals with cSVD, including basic and selected advanced evaluations, for example, monogenic cSVD testing. Although current guidelines for management of cSVD illlustrate limitations, there are recommendations on risk factors and lifestyle considerations, as well as pharmacological and non-pharmacological interventions for people with cSVD. Existing healthcare models do not provide optimal care for individuals with cSVD. Lack of awareness of heterogeneous clinical presentations and uncertainty in threshold of cSVD 'burden' for referral to specialist multidisciplinary services, are key challenges for health services to overcome. Creating cSVD-dedicated services may prevent underdiagnosing and achieve standardised holistic management to improve outcomes in people with cSVD. However, adequate prevention and early management should be offered at all levels of care.

Differences of longitudinal plasma biomarkers between single memory domain and multidomain subject cognitive decline: Evidence from SILCODE.

Plasma biomarkers demonstrated potential in identifying amyloid pathology in early Alzheimer's disease. Different subtypes of subjective cognitive decline (SCD) may lead to different cognitive impairment conversion risks. To investigate the differences of plasma biomarkers in SCD subtypes individuals, which were unclear. The 347 individuals were involved, including 93 normal controls (NC), 76 single memory domain SCD (sd-SCD), 79 multidomain SCD (md-SCD), 55 mild cognitive impairment and 44 dementia. We investigated plasma biomarkers (Aβ42/40, p-tau181, p-tau217, NfL, and GFAP) and neuropsychological scales in the baseline and follow-up. The Kaplan-Meier survival analysis and Cox proportional hazards model were performed to investigate the risk of cognitive decline conversion. The t-test, Mann-Whitney U and multiple linear regression analysis were employed to evaluate the rate of change and correlation between PET-SUVR and plasma biomarker change. In cognitively normal subjects, md-SCD exhibited lower Aβ42/40 and higher p-tau181 and p-tau217 levels. Kaplan-Meier survival analysis revealed that md-SCD group exhibited a higher risk of cognitive decline conversion compared to NC and sd-SCD. Within SCD subgroups, those with positive GFAP status showed higher conversion risk than negative. In the Cox model, the risk of conversion in the md-SCD group was 2.77 times higher than sd-SCD. The md-SCD group demonstrated a faster rate of Aβ42/40 decline than sd-SCD. The study utilized plasma biomarkers to highlight the significance of staging in SCD. In cognitively normal subjects, md-SCD presents a higher risk of cognitive decline than sd-SCD, providing a valuable reference and convenient tool for early identification of individuals at risk for AD.

Validation of new items for diagnosing primary hyperhidrosis and the prevalence of primary hyperhidrosis.

The Multi-Specialty Working Group on the Recognition, Diagnosis, and Treatment of Primary Focal Hyperhidrosis developed evidence-based consensus criteria for diagnosing primary hyperhidrosis. To validate new questionnaire items for self-reported classification of primary hyperhidrosis based on the consensus criteria and to estimate the prevalence of primary hyperhidrosis. This is a cross-sectional diagnostic accuracy study. Questionnaires containing the index tests and reference tests were distributed to blood donors at blood centers between June and December of 2021 in Region Zealand, Denmark. The index tests were the two questions 'Have you had troublesome sweating?' and 'Have you ever had troublesome sweating?', which were used to create six single-item algorithms for classifying primary hyperhidrosis. The reference test was the consensus criteria. Overall, 1,071 (95.9%) of 1,083 eligible blood donors completed the index tests. The reference test classified 59 participants as having primary hyperhidrosis and 980 as not having primary hyperhidrosis, generating a prevalence of 5.7% (95% confidence interval 4.4-7.3%). The algorithms with the highest combined sensitivity and specificity were algorithm 2 with a sensitivity of 0.94 (95% confidence interval 0.77-0.99) and a specificity of 0.94 (confidence interval 0.92-0.95), and algorithm 5 with a sensitivity of 0.94 (95% confidence interval 0.80-0.99) and a specificity of 0.92 (confidence interval 0.90-0.94). With high diagnostic accuracy, these items allow for the identification of individuals with and without primary hyperhidrosis, which may prove useful in epidemiological research. Validation in the general population is warranted.

Research on the Individual Identification of Communication Radiation Sources in Complex Circumstances

Communication radiation source individual identification technology is an essential technique in electronic reconnaissance and a crucial link in electronic warfare support measures. Nevertheless, when the sample set encounters complex circumstances, such as class imbalance or a small sample, the classification network model, driven by big data, disrupts the symmetry between the recognition effect and the quantity of the datasets, leading to suboptimal recognition performance. Thus, it is requisite to optimize the existing models and algorithms to better propose more representative fingerprint features. This paper references the speech signal recognition model multivariate long short-term memory–fully convolutional network (MLSTM-FCN), and ameliorates the recognition algorithm and training strategy for the two scenarios of class imbalance and a small sample. It puts forward a communication radiation source individual identification method based on MLSTM-FCN incremental random feature concatenation and a communication radiation source individual identification method based on meta-learning. Proceeding from improving the class imbalance issue among features and small-sample learning, the experimental results under various signal-to-noise ratios demonstrate that the proposed methods have superior recognition effects and higher accuracy.

Cross-species analysis of genetic architecture and polygenic risk scores for non-contact ACL rupture in dogs and humans

Non-contact anterior cruciate ligament (ACL) rupture is a common serious orthopaedic disease in humans and dogs. Familial risk has been recognized in both species but interactions between genetic effects and environmental risk are not understood. We investigated ACL rupture heritability, genetic architecture, selection pressure, sharing of risk genes and biological pathways, and polygenic risk score (PRS) prediction of disease risk. In both species, ACL rupture has moderate heritability, is likely under negative selection, and has a highly polygenic architecture where thousands of variant effects act together to influence disease risk. In dogs, we found hotspots of regional heritability. We also confirmed sharing of multiple risk genes. Our findings challenge the dogma that non-contact ACL rupture is predominantly due to a single overload injury event. Our results also suggest that accurate PRS prediction of ACL rupture risk is an achievable goal in both species, enabling identification of individuals for personalized medical care.

Lymphedema, Fatigue, and Quality of Life in Breast Cancer Survivors with Axillary Lymph Node Dissection.

Introduction: Health-related quality of life (QOL) has gained importance due to the increasing incidence of breast cancer and the survival rate of breast cancer patients. We aimed to investigate the relationship between lymphedema, fatigue, and QOL in breast cancer survivors with axillary lymph node dissection. Methods: A total of 122 female breast cancer survivors with axillary lymph node dissection who applied to the oncology center of a teaching and research hospital between April 1, 2022, and July 1, 2022, were included in the cross-sectional study. An individual identification form, the EQ-5D General Quality of Life Scale, and the Cancer Fatigue Scale were used to collect data. Mann-Whitney U test, Kruskal-Wallis H test, Bonferroni post hoc test, and Spearman's correlation were used to assess differences between the survivor groups. Results: The study found that 40.2% of breast cancer survivors experienced lymphedema. The mean scores on the EQ-5D index, Visual Analogue Scale (VAS), and Cancer Fatigue Scale were 0.27 ± 0.25, 71.12 ± 14.21, and 35.86 ± 6.98, respectively. The Cancer Fatigue Scale total score and the EQ-5D VAS showed a strong positive correlation (r = 0.630; p < 0.05). Conversely, the total Cancer Fatigue Scale and the EQ-5D VAS scores showed a significant negative correlation (r = -0.626; p < 0.05). Conclusions: The study found that almost half of the breast cancer survivors experienced lymphedema. They also had excellent general health, moderate fatigue, and a good overall QOL.

Noninvasive Oral Hyperspectral Imaging-Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study.

Oral microenvironmental disorders are associated with an increased risk of heart failure with preserved ejection fraction (HFpEF). Hyperspectral imaging (HSI) technology enables the detection of substances that are visually indistinguishable to the human eye, providing a noninvasive approach with extensive applications in medical diagnostics. The objective of this study is to develop and validate a digital, noninvasive oral diagnostic model for patients with HFpEF using HSI combined with various machine learning algorithms. Between April 2023 and August 2023, a total of 140 patients were recruited from Renmin Hospital of Wuhan University to serve as the training and internal testing groups for this study. Subsequently, from August 2024 to September 2024, an additional 35 patients were enrolled from Three Gorges University and Yichang Central People's Hospital to constitute the external testing group. After preprocessing to ensure image quality, spectral and textural features were extracted from the images. We extracted 25 spectral bands from each patient image and obtained 8 corresponding texture features to evaluate the performance of 28 machine learning algorithms for their ability to distinguish control participants from participants with HFpEF. The model demonstrating the optimal performance in both internal and external testing groups was selected to construct the HFpEF diagnostic model. Hyperspectral bands significant for identifying participants with HFpEF were identified for further interpretative analysis. The Shapley Additive Explanations (SHAP) model was used to provide analytical insights into feature importance. Participants were divided into a training group (n=105), internal testing group (n=35), and external testing group (n=35), with consistent baseline characteristics across groups. Among the 28 algorithms tested, the random forest algorithm demonstrated superior performance with an area under the receiver operating characteristic curve (AUC) of 0.884 and an accuracy of 82.9% in the internal testing group, as well as an AUC of 0.812 and an accuracy of 85.7% in the external testing group. For model interpretation, we used the top 25 features identified by the random forest algorithm. The SHAP analysis revealed discernible distinctions between control participants and participants with HFpEF, thereby validating the diagnostic model's capacity to accurately identify participants with HFpEF. This noninvasive and efficient model facilitates the identification of individuals with HFpEF, thereby promoting early detection, diagnosis, and treatment. Our research presents a clinically advanced diagnostic framework for HFpEF, validated using independent data sets and demonstrating significant potential to enhance patient care. China Clinical Trial Registry ChiCTR2300078855; https://www.chictr.org.cn/showproj.html?proj=207133.