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41 articles for “mortality prediction”
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Utility of Abbreviated Burn Scoring Index in Predicting Mortality in Burn Patients – Our Experience
Abstract: The prediction of the outcome of patients presenting with severe burns is crucial in guiding clinical judgments. There are multiple models for predicting burn mortality that have been developed over a period of time. Advancements in burn management over the past few decades have led to a remarkable reduction in burn-related morbidity and mortality worldwide. Improvements in critical care, fluid resuscitation protocols, infection control measures, nutritional support, early wound excision …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 49–53 Read article
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Post Pandemic Cardiac Prediction: Analysing Heart Attack Mortality Rate In Vaccinated Adults
Abstract: Heart disease has emerged as a prominent contributor to global mortality rates. Discovered it early and providing timely management can significantly reduce the incidence of heart failures, death rates, and diagnostic costs associated with heart disease. In this study, we propose employing notification system to assess the risk of heart disease and explore potential associations between vaccination status and mortality rates due to heart attack among adult populations in the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 45–51 Read article
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A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model
Abstract: Artificial intelligence (AI) encompasses a range of techniques, including machine learning and deep learning, which are increasingly utilized in the healthcare sector for tasks such as disease diagnosis and drug discovery. To achieve accurate disease diagnosis through AI, it is essential to integrate data from multiple medical sources, including ultrasound imaging, magnetic resonance imaging (MRI), mammography, genomics, and computed tomography (CT) scans, among others. This article presents a comprehensive review …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 Read article
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Comparison of Several Clinical Scoring Systems in Predicting the Outcome of Variceal Bleeding
Abstract: Background: Stratification of variceal bleeding patients into high-risk and low-risk group is very important to guide them through the suitable clinical pathway and to save the medical costs. We purposed to find out the best scoring system in the prediction of rebleeding and death after variceal bleeding by comparing four clinical scoring systems(clinical Rockall score, complete Rockall score, AIMS65 score, Child-Pugh score) which seemed to be applicable and simple. Method: …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 2, 2025 Read article
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A Study to Assess the Risk Factors Associated with Sudden Death in Population on Hemodialysis
Abstract: Background: Patients with chronic kidney disease (CKD) receiving maintenance hemodialysis (HD) experience disproportionately high mortality, with sudden death remaining a leading cause. Multiple clinical, biochemical, and care-related factors influence outcomes, yet comprehensive risk stratification models and the role of dialysis timing and early nephrology care remain inadequately explored in resource-limited settings. Objectives: This study aimed to (i) identify clinical and biochemical risk factors associated with mortality in HD patients, (ii) …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 14–19 Read article
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Comparison between two severity classificaitons in patients with acute cholecystitis
Abstract: Background and objective: Assessment severity helps clinicians to guide appropriate treatment and minimumize adverse outcome. The objective of our study was to comparison between TG13 severity system and EGS grade system for predicting clinical outcomes in acute cholecystitis. Patients and method: This is a retrospective single-center study which enrolled patients who were admitted to pyongsong medical university hospital between February 2020 and October 2021. Tokyo 2013(TG 13) severity classification and …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 2, 2023 Read article
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The Fluctuation of Blood Glucose Level in Stroke Patients without History of Diabetes Mellitus: Relationship with its Outcome
Abstract: Purpose: In the present study we aimed at evaluating the fluctuation of fasting glucose levels and analyzing its relationship with outcomes in nondiabetic patients with ischemic stroke and intracerebral hemorrhage. Methods: We conducted a prospective study involving 316 nondiabetic patients (225 male, 91 female) with hemorrhagic and ischemic stroke, who were admitted to the Pyongyang University of Medical Sciences Hospital, Democratic People’s Republic of Korea from April 2017 to December …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 3, 2020 · pp. 5–11 Read article
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Cyber Security Purity in 2021 and Afar Tips for Businesses
Abstract: While policy makers to cyber security specialist call for Update cyber hygiene, no one really knows what it means. In reality, there exists no scholarly exploration clarify the conception or its dimension. This exploration makes a principal donation by conceptualizing cyber hygiene, working it, empirically relating its sub-dimensions, and construct an force for it. The exploration achieves this with a mixed-styles approach, where using an emulsion of experts and an …
Published in Journal Of Network security · Vol. 9, Issue 3, 2021 · pp. 7–12 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Association between Maternal Factors and Birth Weight of Children from a Selected Village of Anand District
Abstract: Birth weight of the child is an important predictor for neonatal and infant mortality and morbidity as well as for the nutritional status of the children. There are numerous factors such as maternal physiological, biological and socioeconomic factors leading to low birth weight. A community based cross sectional study was carried out to study the association between maternal factors and birth weight of the children. About 100 mothers were selected …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 21s–24s Read article
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Challenges in Diabetes Management Barriers and Support Systems in North India
Abstract: Background: The prevalence of Diabetes mellitus is ever growing in India and management of the disease is hindered by socio-economic, healthcare, and psychosocial barriers. Insofar as economic and social barriers pose challenges ranging from limited access to medical care, social stigma, specialist support leading to improper glycemic control, which is a strong predictor for diabetes complications, morbidity and mortality. Moreover, developing an understanding of systemic challenges and available supports is …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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IoT-based Heart Attack Prediction System Using Machine Learning
Abstract: Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients' cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 1–5 Read article
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Knowledge and Practices of Postnatal Mothers Regarding Newborn Care in a Selected Hospital in West Bengal
Abstract: The health of newborns is significantly impacted by the extent of knowledge and behaviors exhibited by mothers in the postnatal period. By assessing the level of knowledge and practices it is possible to predict the cause and reduce the rate of neonatal mortality and morbidity. A research investigation aimed at evaluating the understanding and routines of postnatal mothers regarding the care of newborns in a chosen hospital located in West …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 30–37 Read article
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The Prevalence of Motoric Cognitive Risk Syndrome and Dementia in Community Residing Older Adults
Abstract: Motoric cognitive risk (MCR) syndrome is characterized by cognitive complaints and slow gait and identifies non-demented older individuals at high risk for transitioning to dementia. MCR has been implicated as predictor of cognitive decline and dementia in older adults and associated with increased mortality.The objective is to find out the prevalence of dementia and MCR and assess association between the fall risk and factors of MCR. A cross sectional study …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 1, 2018 · pp. 10–15 Read article
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Genomic Medicine Revolutionizes Heart Care: A New Standard of Practice
Abstract: The integration of genomic and precision medicine into cardiovascular healthcare represents a transformative advancement in addressing the global burden of cardiovascular diseases (CVDs). Precision medicine leverages genomic, proteomic, and metabolomic data to provide personalized care, optimizing treatment outcomes while minimizing adverse effects. Over the past decade, extensive research has highlighted its potential to revolutionize the management of major CVDs, including myocardial infarction, hypertension, and heart failure, which significantly contribute to …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 30–37 Read article
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Importance of Physical Therapy Approaches to Improve Quality of Living in Cancer Patient: A Review
Abstract: Background: Cancer is a non-communicable disease which can be widely spread all over the world. In India, it is a second most cause of morbidity and mortality. Based on the increasing trends of cancer patients during the last few decades, the numbers of cancer patients have been predicted and over 8.8 lakh deaths by the end of 2020 in India. Cancer cases are increasing rapidly among Indian population, because of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 1, 2018 · pp. 7–15 Read article
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Prediction of Resectability and Surgical Outcome of Periampullary Tumors
Abstract: Background: Pancreatic cancer is a devastating malignancy with nearly as many deaths as newly diagnosed cases each year with 5-years overall survival rate approximately 7%. Our aim was to assess prediction of respectability of patients with periampullary tumors to avoid unnecessary laparotomy in inoperable patients and evaluation of early outcome of surgical intervention. Methods: 23 patients were included in this study. All the patients were subjected to assessment by contrast …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 1, 2018 · pp. 14–21 Read article