Physicians For Early Diagnosis Research Articles

The role of primary care physicians in early diagnosis and treatment of chronic gastrointestinal diseases

Gastrointestinal diseases encompass conditions affecting the gastrointestinal tract, including the esophagus, stomach, and small and large intestines. These conditions are prevalent in general practice, with common diseases such as irritable bowel syndrome, inflammatory bowel disease, and celiac disease. Primary care physicians encounter a broad spectrum of clinical problems, necessitating a wide range of knowledge for accurate diagnosis and prescription of medications.It is crucial to recognize the role of primary care physicians in the diagnosis and management of gastrointestinal diseases, given their frequent presentation in primary care settings. This review aims to provide an overview of the role of primary care physicians in the diagnosis and management of various chronic gastrointestinal diseases.Scientific websites and databases were utilized to search for relevant articles. Various keywords were employed in different combinations to retrieve all possible articles related to the current subject. The findings incorporated in this review consist of original articles, review articles, and systematic reviews written in the English language that address our objectives.The selected articles underwent a thorough review based on inclusion criteria. The articles included in this review were published between 2010 and 2022. Despite the availability of original research and reviews, there is insufficient information on the role of primary care physicians in the diagnosis and treatment of chronic gastrointestinal diseases. Physicians may lack knowledge regarding the proper management and diagnosis of these conditions; however, their roles can be enhanced through increased education and awareness

The surgical management of penile oleogranuloma: case series.

Oleogranuloma of the penis is a complex set of pathological processes caused by the injection of a foreign substance (gel, balls, rods, etc.) into the penis with the purpose of penile augmentation. In this case series, we investigated a variety of clinical presentations of oleogranuloma and described our experience in managing the complications. We analyzed data on 18 patients with penile self-injections admitted to the hospitals of Astana City, Kazakhstan, during an 11-year period. The mean age of patients at admittance was 37.4 ± 6.4 years. The most common substance of injection was Vaseline (n = 16, 88.9%). The mean interval between the time of injection and the first presentation to the hospital was 10.8 ± 6.5 years. Complications included necrosis (n = 13, 72.2%), pain or swelling (n = 6, 33.3%) and cosmetic dissatisfaction (n = 5, 27.8%). All patients received surgical treatment (n = 18, 100%): simple excision with primary closure was performed for one-half of the patients (n = 9, 50%), while another half of patients underwent the two-stage scrotum skin flap surgery (n = 9, 50%). The findings of this study should raise the awareness about the diverse clinical presentations of penile self-injections among physicians for early diagnosis and timely management.

Complicated Surgical Site Infection with Mycobacterium Abscessus After Liposuction and Affections of Corticosteroids in the Treatment Regimen: Three Cases Report and a Systematic Review.

Mycobacterium abscessus infection after liposuction/fat grafting is a rare complication that is hard to diagnose and treat. Misdiagnosis could result in treatment failure and prolonged hospital stays. The paradoxical reaction is another complication that rarely occurs in non-HIV patients infected with nontuberculosis mycobacteria. This study reported 3 cases infected with M. abscessus complicated by the paradoxical reaction after liposuction and fat grafting. It highlighted characteristics giving clues of the paradoxical reaction and a successful strategy. Also, a systematic review was conducted to comprehensively provide varied aspects of M. abscessus infection after liposuction and/or fat grafting. Three cases were retrospectively included reporting data characteristics of patients, cosmetic procedures, and treatment strategy. PubMed, Scopus, Virtual Health Library (VHL), and Global Health Library (GHL) were searched to find and include cases with M. abscessus infection after liposuction and/or fat grafting based on defined selection criteria. Relevant data were extracted and summarized. The risk of bias in included studies was assessed using JBI critical appraisal checklists. Twenty-four articles were included in the systematic review. Symptoms often developed approximately 1 month after the cosmetic surgery. Culture, AFB, and PCR were common methods of diagnosis of M. abscessus after liposuction and/or fat grafting. It took about 33 days on average from the presentation to isolate and detect the pathogens. Antibiotics based on susceptibility testing results along with surgical interventions were effective methods of treatment. Our three cases which were complicated by the paradox were addressed by adding methylprednisolone for 2 weeks to the macrolide-based therapy. Awareness of this disease should be widely raised among physicians for early diagnosis and proper treatments. Cultures of specimens and AFB should be repeated many times before excluding the possibility of Mycobacterium spp. A paradoxical reaction should be suspected if the symptoms were worse after the antibiotic therapy based on susceptibility testing results and proper surgical interventions, especially if patients had taken corticosteroids before being admitted. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Atherogenic index of plasma is an independent predictor of metabolic-associated fatty liver disease in patients with type 2 diabetes

BackgroundMetabolic-associated fatty liver disease (MAFLD), formerly known as non-alcoholic fatty liver disease, is the leading cause of liver disease that can ultimately lead to cirrhosis. Identifying a screening marker for early diagnosis of MAFLD in patients with type 2 diabetes (T2D) can reduce the risk of morbidity and mortality. This study investigated the association between the atherogenic index of plasma (AIP) and MAFLD in patients with T2D.MethodA retrospective case–control study was conducted and medical records of patients with T2D were assessed. The baseline characteristics, anthropometric indices, laboratory measurements including liver functions tests, fasting blood sugar, HbA1C, lipid profile were documented.ResultsOut of 2547 patients with T2D, 824 (32.4%) had MAFLD. The multivariate logistic regression analysis showed a significant difference in female-to-male ratio (1.11 vs. 1.33, OR = 0.347, P-value < 0.001), ALT (42.5 ± 28.1 vs. 22.4 ± 11.1, OR = 1.057, P-value < 0.001), and AIP (0.6 ± 0.3 vs. 0.5 ± 0.3, OR = 5.057, P-value < 0.001) between MAFLD and non-MAFLD groups, respectively. According to the AIP quartile, the prevalence of MAFLD increased significantly in patients with higher AIP quartiles (P-value < 0.001). Also, we found a cut-off of 0.54 for AIP in predicting MAFLD in patients with T2D (sensitivity = 57.8%, specificity = 54.4%).ConclusionIn this study, we found that AIP is a good and independent predictor for MAFLD in patients with T2D which could help physicians in early diagnosis and follow-up of patients with T2D.

Laboratory Parameters of Dengue Infection in a Medical College Hospital

Introduction &amp; objective: Dengue is an acute illness caused by Aedes mosquito, commonly caused by Aedes aegypti. It is an endemic disease in South East Asian countries especially in Bangladesh. In 2019 a outbreak occurred in Bangladesh. The objective of the study was to see the laboratory parameter and outcome of dengue fever in a tertiary medical college hospital. Early diagnosis and laboratory investigations is essential to prevent the mortality associated with this disease. Materials &amp; Methods: This prospective study was conducted on dengue ward at Khulna medical college hospital from 1 July 2019 to 31 December 2019. The diagnosis of dengue infection was confirmed by serology. Sera were processed by dengue ELISA. Investigations like haemoglobin estimation, haematocrit, platelet count, total count; differential leukocyte count, peripheral smear, coagulation profile were performed. Results: Total number of cases was 98. Of them 62 (63.2%) was male and 36 (36.73%) was female. Fever was most common (100%) manifestation and duration of fever ranges from 5 to 8 days with a mean duration of 6.31 (± 0.95) days. Blood for NS1 was positive in 90 (91.83% ) cases; most cases 71 (72.44%) become positive between 2nd to 4th day. 90 (91.83%) cases developed thrombocytopenia and it starts at 5th day in 45 (45.91%) cases. Anti IgM was positive in 4 (4.08%) cases; 2 at 4th day and 2 at 5th day of illness. IgG was positive in case at 8th day of illness. Conclusion: These findings help physicians in early diagnosis of dengue by suspecting these features as of dengue and can prevent morbidity and mortality associated with dengue. Medicine Today 2022 Vol.34(1): 61-64

A Descriptive Case Series Study from 2009 to 2019 and a Brief Review on Takayasu’s Arteritis Patients in Arak

Background: Takayasu is a form of large vessel vasculitis that mainly affects the aorta and its branches. It is a chronic disease, and the long-term prognosis depends on arterial complications and its progressive stage. Objectives: This project is a single-center descriptive study of Takayasu’s arteritis patients in Arak city aimed to determine these demographic patterns, which can help physicians in early diagnosis. Methods: All Takayasu’s arteritis patients referred to the rheumatology center of Amir Al-Momenin subspecialty clinic were studied from 2009 to 2019. Imaging methods were used for diagnosis, and SPSS version 23 was used for statistical analysis. Results: Out of 17 registered patients, information of nine patients was available from the beginning of diagnosis. Constitutional signs and symptoms indicated an inflammatory process in 77.78% of the patients. All patients in this study received a steroid-sparing drug as a part of the treatment, and the most commonly used drug was methotrexate, which was used in all patients at the onset. Conclusions: This study reports the details and the characteristics of patients with Takayasu’s Arteritis in Arak, Iran. Although the number of patients was small, these results can inform the physicians about the signs, symptoms, and complications of delayed diagnosis of this disease. One of the most important points in the diagnosis of Takayasu is the delay between the onset of symptoms and the diagnosis of the disease. This delay may lead to irreversible complications and increased morbidity.

Breast, Lung and Liver Cancer Classification from Structured and Unstructured Data

Currently, cancer is a worldwide public health problem. Machine and deep learning techniques hold great promise in healthcare by analyzing Electronic Health Records (EHR) that contain a large collection of structured and unstructured data. However, most research has been done with structured data, and valuable data is also found in doctor’s plain-text notes. Thus, this paper proposes an approach to classify breast, liver, and lung cancer based on structured and unstructured data obtained from the MIMIC-II clinical database by using machine and deep learning techniques. In particular, the Paragraph Vector algorithm is used as a deep learning approach to text representation. The goal of this work is to help physicians in early diagnosis of cancer. The proposed approach was tested on a balanced dataset of breast, liver, and lung cancer patient records. Pre-processing is done with structured and unstructured data, and the result is used as input variables to three machine learning models: Support Vector Machines, Multi Layer Perceptron, and Adaboost-SAMME. Then, the scoring metrics for these models are calculated in different training data configurations to choose the best performing model for classification. Results show that the best performing model was obtained with MLP, achieving 89% precision using unstructured data.

Clinical features &amp; outcome of dengue cases at a tertiary care centre

Background: Dengue is a very common seasonal public health problem causing significant mortality every year. In 2019 an outbreak occurred in Bangladesh. Few new manifestations and multi organ involvement were found.&#x0D; Objective: The objective of the study was to see the clinical and laboratory manifestations and outcome of dengue fever in a medical college hospital.&#x0D; Methods: It was an observational study in a medical college hospital in Bangladesh. Study period was one year. The patients were confirmed cases of dengue. Apart from detailed clinical history, examination of patient, relevant investigations and follow up was done until discharge.&#x0D; Result: Total number of cases was 98. Out of them 62 (63.2%) were male and 36 (36.73%) were female. Fever was most common (100%) manifestation and duration of fever ranged from 5 to 8 days with a mean duration of 6.3 (± 1.0) days. Among other symptoms generalized body ache was most common (63, 64.3%). Generalized weakness was present in 60 cases (61.2% cases) Bleeding manifestations was present in 41 cases; abdominal manifestations were found in 11 cases. Blood for NSI was positive in 94 (95.9%) cases; most cases (71, 72.4%) became positive between 2nd to 4th day. Ninety (91.9%) cases developed thrombocylopcnia and it started at 5th day in 45 (45.9%) cases. Blood transfusion was given in 12 (12.2%) cases &amp; Platelet transfusion was given in 3 (3.1%) cases. Complete recovery was in 96 (98%) cases and Death occurred in 2 (2.0%) cases.&#x0D; Conclusion: Bleeding was a dominant presentation. Some atypical manifestations like gastro intestinal features were also observed. These findings will help physicians in early diagnosis of dengue.&#x0D; Bang Med J Khulna 2020: 53 : 3-7

Relative Merits of Data Mining Algorithms of Chronic Kidney Diseases

Early prediction of Chronic Kidney Disease in human subjects is considered to be a critical factor for diagnosis and treatment. The use of data mining algorithms to reveal the hidden information from clinical and laboratory samples helps physician in early diagnosis, thus contributing towards increase in accuracy, prediction and detection of Chronic Kidney Disease. The experimental results obtained from this work, with subjected to optimal data mining algorithms for better classification and prediction, of Chronic Kidney Disease. The result of applying relevant algorithms, like K-Nearest Neighbors, Support Vector Machine, Multi Layer Perceptron, Random Forest, are studied for both clinical and laboratory samples. Our findings show that K - Nearest Neighbour algorithm provides the best classification for clinical data and, similarly, Random Forest for laboratory samples, when compared with the performance parameters like, precision, accuracy, recall and F1 Score of other data mining analysis techniques.

An Observational Study of Mucocutaneous Manifestations among SARS-CoV-2 Patients from Three COVID-19 Dedicated Tertiary Care Centers.

Introduction:Ever since the outbreak of COVID-19, the respiratory system has been the chief focus of researches, however, understanding the impact of this disease on the integumentary system is just as essential.Objectives:We aimed at collecting data on any cutaneous manifestation arising in patients with active and recovering COVID-19 infection, or a direct consequence of the infection's treatment, and correlating these findings with systemic disease severity and duration.Materials and Methods:A prospective observational study was conducted in three tertiary care centers from Rajasthan, India, to acquire data of laboratory-confirmed cases of COVID-19 presenting with any mucocutaneous manifestation.Results:Eight predominant patterns of dermatological involvement were seen, namely, maculopapular (14.59%), urticarial (13.17%), perniotic (12.1%), pityriasis rosea (11.74%), acral erythema/edema (10.3%), petechial (4.63%), vesicular (2.49%), and livedo (1.78%). Rare findings included eruptive pseudoangioma, eruptive hypomelanosis, alopecia parvimaculata, geographic tongue, chikungunya-like hyperpigmentation, and nail changes. On correlating these findings with the gradient of the disease, livedo, vasculitis, exfoliation, and erythroderma were associated with severe disease, whereas perniosis and eruptive pseudoangioma were seen in mild illness.Conclusion:We reported a few previously unpublished skin manifestations of COVID-19, namely, geographic tongue, chikungunya-like pigmentation, eruptive hypomelanosis, and alopecia parvimaculata. This study provides a visual description of the muco-cutaneous manifestations of COVID-19 disease which could aid a dermatologist or physician in early diagnosis of this novel infection, especially in a resource-poor setting.

Outbreak of measles among Batek tribe of north east Malaysia 2019: Clinical presentation and outcome of hospitalized patients

Background: While Measles is a preventable disease, outbreaks frequently occur among population with low vaccination coverage such the indigenous group. An outbreak of measles among the indigenous group of north east Malaysia, known as the Batek tribe of Kelantan was declared in June 2019 involving 75 patients. We describe the clinical presentation and outcome of hospitalized patients during the outbreak. Methods and materials: This was a retrospective cohort study undertaken in Hospital Kuala Krai and Hospital Gua Musang, Kelantan. The patients among the Batek tribe diagnosed with measles during the outbreak were reviewed from notification line listing and hospitalized patients were identified via hospital registration. 30 consecutive medical records of laboratory confirmed measles either via measles serology and/or PCR >12 years old admitted from June 1 to August 31 2019 were retrieved. Relevant data were extracted and analysed. Results: Majority presented with fever (93.3%, n = 28) and cough (90%, n = 27). Conjunctivitis was reported in 11 patients (36.6%). Rash was detected in only 5 patients (16.6%) and Koplik spots were not reported in any patients. The complications of measles in our cohort were pneumonia (53.3% n = 16), pleural effusion (6.6% n = 2), pneumothorax (6.6% n = 2), tuberculosis reactivation (3.3% n = 1), and mediastinum abscess (3.3% n = 1). Other complications included blood stream infection, miscarriage, corneal perforation, heart failure, and acute kidney injury. There was high prevalence of iron deficiency anaemia and hypoalbuminaemia. We postulated that this reflected poor nutritional status of this cohort, and in turn conferred a higher rate of complications due to immunosuppression. Care was mainly supportive including antipyretics, fluids and treatment of bacterial superinfections. All patients received oral vitamin A 200,000 IU. Two patients required ICU care and mechanical ventilation and 1 patient developed acute kidney injury requiring hemodialysis. All patients survived and were discharged well. Conclusion: Measles, a highly contagious vaccine-preventable disease is still a threat among the indigenous population due to low vaccination coverage. In our cohort, the absence of typical rash posed challenges to the treating physicians in early diagnosis of measles.

A novel CNN based Alzheimer’s disease classification using hybrid enhanced ICA segmented gray matter of MRI

Predicting Alzheimer’s Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) has become wide. Recent advancement in neuroimaging in adoption with machine learning techniques are especially useful for pattern recognition of medical imaging to assist the physician in early diagnosis of AD. It is observed that the early abnormal brain atrophy and healthy brain atrophy are same. In our endeavor, we proposed a model that differentiation MCI and CN more accurately to escalate early diagnosis of AD. In this paper, we applied both binary and multi class classification, 4463 Slide are divided in to two groups one for training and another for testing at subject level, achieves 100 % of accuracy, 100 % of sensitivity and 100 % of Specificity in the case of AD-CN. 96.2 % of accuracy, 93 % Sensitivity and 100 % Specificity in the case of AD-MCI. 98.0 % of accuracy, 96 % of sensitivity, 100 specificity in the case of CN-MCI. 86.7 % accuracy, 89.6 % of sensitivity, 86.61 % of specificity in the case of AD-MCI-CN. The model is further tested using 10 fold cross validation and obtained 98.0 % of accuracy, to differentiate CN and MCI. Our proposed framework generated results are significantly improving prediction of AD from MCI and CN than compare to the previous work flows and used to differentiate the AD at early stage.

Application of artificial neural networks to detect bone remodeling changes in diabetes mellitus

This paper describes the task of authentication of bone turnover indicators using the developed method of building a decision support system based on an artificial neural network. A method has been developed for the calculation of risk determinants, which helps the physician in early diagnosis to make an informed decision, based on the identification of changes in bone turnover that increased risk of fragility fractures in diabetes mellitus.

Radiological diagnosis of pulmonary mucormycosis

Pulmonary mucormycosis is a rare opportunistic fungal infection, caused by Zygomycetes, order Mucorales. Poorly controlled diabetes mellitus and neutropenia are main risk factors. In recent years, the incidence of mucormycosis is increasing, due to widespread use of aggressive chemotherapy, including schemes for elder patients and increasing amount of stem cell transplantation. The disease is characterised by severe course, rapid spread and high mortality rates. Radiological diagnostics is first line methods in detecting infectious process in patients. Detecting specific features helps physician in early diagnosis and improve outcome of disease.

Management of acromegaly: an exploratory survey of physicians from the Middle East and North Africa.

Worldwide variations exist in the diagnosis and management of patients with acromegaly. For such a rare condition, the knowledge and perception of physicians would most likely direct the care of patients. However, the adherence of physicians in non-Western regions to guidelines for the diagnosis and management of acromegaly has not been previously ascertained. An online survey was conducted to assess the perceptions and practice of physicians regarding acromegaly diagnosis and management as per international guidelines. An electronic questionnaire containing key questions was mailed, initially to physicians in Saudi Arabia (KSA) and later to other countries in the Middle East and North Africa (MENA) region. Additional questions were included to ensure the relevance of the respondents' replies. The responses were captured and summarized anonymously. Descriptive comparisons were made with two similar international and national surveys from other regions. Two hundred forty-seven doctors responded to the survey. Of these, 155 (64.5%) fulfilled the inclusion criteria and, in particular, confirmed having treated acromegaly patients in the previous 12months, and they constituted the basis of this study. The three most common referring specialties for patients were internists (44; 28.4%), neurosurgeons (46; 29.6%), and family medicine physicians (42; 27.1%), respectively. The combination of growth hormone (GH) nadir during the oral glucose tolerance test (OGTT) and elevated insulin-like growth factor-1 (IGF-1) levels was used by 99 physicians (63.9%) to diagnose acromegaly. The main determinant for treatment choice was tumor mass characteristics confirmed by 117 respondents (75.5%) with neurosurgery as first treatment choice confirmed by 124 respondents (80%). Combined measurement of IGF-1 and GH levels after OGTT at 3months after surgery was the most widely used criterion for assessment of surgical outcomes, confirmed by 82 physicians (52.9%). The biggest barriers to optimal management of acromegaly as perceived by 38.1% and 35.5% of the respondents were high cost of medications and lack of physicians' awareness, respectively. The majority of the surveyed physicians reported variable adherence to the international acromegaly guidelines. Clearly, higher awareness is needed among physicians for early diagnosis and timely referral for specialist management.

Prevalence of allergic bronchopulmonary aspergillosis in asthmatic patients: A prospective institutional study

BackgroundAllergic bronchopulmonary aspergillosis (ABPA) is characterized by an allergic inflammatory response to colonization by Aspergillus species, most commonly Aspergillus fumigatus. AimTo study the prevalence of ABPA in asthmatic patients presenting to our institute. Materials and methodsAll consecutive asthma patients attending our allergy clinic Out Patient Department (OPD) over a period of 20 months were tested with skin prick test (SPT) for Aspergillus antigens and those who were found positive were further evaluated for ABPA using Greenberger's criteria. ResultsSeventy consecutive asthmatic patients were screened by SPT using Aspergillus antigens. Thirteen patients (18.57%) were found to be SPT positive, out of which nine patients (12.9%) were diagnosed as having ABPA using Greenberger's criteria. ABPA was common among 25–35 age group with no gender predilection. ABPA patients had longer duration of illness, predominantly mixed pattern in PFT, higher mean absolute eosinophil count (AEC) and serum total IgE compared to non-ABPA asthmatic patients. Specific IgE for A. fumigatus was positive in all ABPA patients and serum precipitins were positive in seven patients (77.58%). Chest X-ray abnormalities were seen in five patients (55.6%) and HRCT showed central bronchiectasis in eight patients (88.9%) with varying other radiological features. None were sputum fungal culture positive and five patients (55.6%) have been misdiagnosed as pulmonary tuberculosis in the past. ConclusionThe prevalence of ABPA is significantly higher in bronchial asthma patients presenting to tertiary care centers and hence awareness is required among physicians for early diagnosis and management of ABPA to achieve better asthma control and to avoid permanent lung damage.

A study of clinical profile of patients with Dengue fever at a tertiary care hospital

Background: Dengue is the most common fever. Among all flavi-viruses, it is the most common. It can cause around 50-100 million infections. Every year 2-5 lakh cases of Dengue hemorrhagic fever occur. The objective of the research was to study clinical profile of patients with Dengue fever at a tertiary care hospital.Methods: Present study was cross sectional study. The patients were interviewed and examined at one point of time and later they were never followed which is similar to the cross-sectional study design. Present study was carried out in the hospital. This was done in the department of General Medicine of a tertiary care hospital. Present study was carried out over a period of one year.Results: In the present study, there were 78 males and 22 females. The sex ratio was 3.5:1. Maximum number of males (29.5%) was in the age group of 15-25. Among females, the maximum (40.9%) were in the age group of 26-35 years and 46-55 years (9%). The most common presenting symptom was fever in all cases followed by headache in 90%. Among bleeding manifestations, epistaxis, gum bleeding and hematuria (15%) were the common symptoms. Most patients presented with generalized lymphadenopathy in 52%. 56 patients showed only hepatomegaly and 46 splenomegaly, and 30 patients showed hepato splenomegaly. 99 showed leucopenia and 10 were anemic and 25 showed platelet count less than 1,50,000cells/cumm.Conclusions: Males were commonly affected. Younger age group of 15-25 was most commonly affected and fever and headache were the most common presenting symptoms. These findings help physicians in early diagnosis of dengue by suspecting these features as of dengue and can prevent morbidity and mortality associated with dengue.

Analysis of Linear and Non-linear parameters of HRV for opting optimum parameters in wearable device

The Human heart rate though appears regular, it is not. There is a change in the time intervals between two successive heart beats, these variations are referred to as heart rate variability (HRV). The HRV will be in certain regular pattern and differs from individuals. HRV depends on state of pathology and physiology of the individual. Research has been carried out to find whether if they could predict the disease early and could avoid complications which might be fatal. It helps the physician in early diagnosis and alertness of the disease which will denote the step for better care. The vital advantage of HRV is that, it is noninvasive and the individuals can check there HRV parameters without any inconvenience at any time without any after effects. In this work ECG signals are obtained from physionet data base. Data of normal ECG signals and ECG of Supraventricular Tachycardia of 57 subjects each are considered for the study of HRV parameters. Linear parameters of HRV like time-domain, frequency-domain parameters non-linear parameters like Poincare plot is analyzed. The new software is developed on MATLAB tool for carrying HRV analysis, code has been developed to obtain linear and nonlinear parameters of HRV with the filtering option embedded in the software. Using the developed software statistical analyses was carried on to obtain the optimum parameter that can distinguish normal and diseased conditions which can be further considered for embedding in wearable device hardware. Though HRV has huge potential in diagnosing and predicting diseases, it is yet to be used as a diagnostic tool. Identification of Linear and non-linear parameters which are significant in diagnoses of diseases will be useful in predicting ANS modifying diseases early.

The role of the primary care physician in early diagnosis of periprosthetic joint infection

The role of the primary care physician in early diagnosis of periprosthetic joint infection

Untreated Craniostenosis causing severe Mental retardation with X-ray skull showing Silver beaten appearance skull on: Role of physician in early diagnosis and surgical Management

Untreated Craniostenosis causing severe Mental retardation with X-ray skull showing Silver beaten appearance skull on: Role of physician in early diagnosis and surgical Management