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111 articles for “risk scoring”
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A Research Study on Navigating Medication Risks Through MFRS (Medication Fall Risk Score and Evaluation Tool) and DART (Drug Associated Risk Tool) Among Patients with Polypharmacy
Abstract: Background information: The advancements in medical science continue, but the safety of medication usage is still a question mark and has become a crucial area for researchers to focus on. In the need of the above, various scoring systems and tools have been developed in pharmacy practice research. Prior to the present work, we did a systematic review and meta-analysis and identified two such tools: the medication fall risk score …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 1–13 Read article
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Risk of Diabetes in the Indian Population: A Study Using Indian Diabetes Risk Score and Random Blood Glucose Level.
Abstract: INTRODUCTION: Because of increasing burden of the diabetes effort was attempted for early diagnosis of diabetes by means of screening with the objectives to find out the prevalence and the risk of diabetes mellitus among individuals attending a Diabetes awareness and health camp by using Indian diabetes risk score and Random Blood Glucose level.MATERIALS AND METHODS: Diabetic awareness and health check up camp organized on 28th October 2016, at the …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 3, 2017 · pp. 21–24 Read article
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An Evidence Based Research on Impact and Validation of MFRS (medication fall risk score and evaluation tool) and DART (drug associated risk tool) and drug safety evaluation on special population (Geriatrics, Pregnancy and lactating Women)
Abstract: The topics and subjects studied and reported in this project work is very less frequently discussed and studied on the special population. It is a very important matter to discuss on and to find some conclusions so that the special patient groups like pregnant, lactating, and geriatric patients can be treated and taken care of well. These most sensitive patient populations that need the best treatment and often health care …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 10, Issue 1, 2023 · pp. 33–51 Read article
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Validation of Indian Diabetes Risk Score (IDRS) in a Subset of North Indian Population through Amer Diabetes Study (ADS)
Abstract: The study was conducted at Amer locality in Jaipur on adults aged 20 years or more to validate the Indian Diabetes Risk Score (IDRS). The study group comprised 551 participants (68.9% response rate). The OGTT was performed using 75 g of glucose. The IDRS was calculated using age, family history of diabetes, physical activity and waist measurement. ROC curves were constructed to identify the optimum value (> 60%) of IDRS …
Published in Research and Reviews: A Journal of Medicine · Vol. 4, Issue 2, 2014 · pp. 33–37 Read article
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Statistical Models for Predicting Genetic Variability and Disease Susceptibility
Abstract: Differences in genetics are key to understanding why some individuals are more prone to certain diseases than others. Recent advancements in genomic research, combined with statistical modeling techniques, have made significant strides in predicting disease risk based on genetic factors. This review explores the application of statistical models for predicting genetic variability and their role in disease susceptibility. We discuss traditional methods like linear regression and genome-wide association studies (GWAS), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 30–34 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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AI-Driven Cyber Threat Detection and Response Framework for Higher Educational Institutions (HEIs)
Abstract: Higher educational institutions (HEIs) are increasingly exposed to complex cyber threats due to their open-access digital ecosystems, diverse user populations, and extensive research infrastructures. Conventional signature-based intrusion detection systems often fail to detect zero-day and evolving attacks, creating an urgent need for intelligent and adaptive security mechanisms. This research introduces an AI-based framework for detecting and responding to cyber threats, specifically designed for HEIs. The framework employs an unsupervised machine …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 28–34 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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Torsade de Pointes: A Comprehensive Review of Pathophysiology and Therapeutic Approach
Abstract: Torsade de pointes (TdP) is a rare form of polymorphic ventricular tachycardia, marked by fluctuating QRS complex amplitudes that twist around the isoelectric line on an electrocardiogram (ECG). It is commonly linked to prolonged QT intervals, which can be either acquired or congenital. While TdP often resolves spontaneously, it may lead to fatal ventricular fibrillation if untreated. Medications, electrolyte imbalances, and genetic conditions like Jervell and Lange-Nielsen syndrome contribute to …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 36–41 Read article
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Risk Assessment in Boiler Operations by HAZOP
Abstract: Our motive in this study is to analyze the hazard associated in different processes which are being carried out in the boiler room and to minimize their effects in order to make the working environment safe. Boilers are generally used to convert heat energy produced by burning of fossil fuel to the electric energy. This review presents hazard analysis of boilers, improves the safety performance related to boiler by using …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 31–36 Read article
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Hybrid Framework to Remove the Risks Involved in Functional Requirements for Component Selection from Component Repository
Abstract: AbstractIn the developing world it is very clear that as the software demand is increasing, the software cost is also increasing. The main problem of software industries is to provide the software at feasible cost which fulfills the user requirements. The modern software development strategy requires high development cost, large manpower, high risk maintenance cost and large time to complete the software. Component Based Software Engineering (CBSE) is an approach …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 14–20 Read article
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Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
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Using the TCGA Database, Establishing and Validating an RNA-binding Protein-based on Prognostic Model for Liver Cancer
Abstract: Background: The third most common cause of cancer-related death is liver cancer, one of the most prevalent hematological malignancies in the world. The term RNA-binding protein (RBP) refers to a group of proteins that bind to RNA to control metabolic processes. The development of RNA-binding proteins is related to the mortality of liver cancer victims. Methods: RBP gene expression data from liver cancer were extracted using the TCGA database. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 2, 2022 · pp. 7–22 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article
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Diabetes Mellitus-Risk Assessment
Abstract: Objective: To determine the risk of acquiring diabetes in patients and families, as well as the relationship between risk of developing diabetes and certain demographic characteristics. Methods: With 500 samples, a non-experimental descriptive design was utilized to assess the risk of developing diabetes. Convenience or Accidental sampling method was opted, and the data were collected by Bio physiological method and interview method by using ADA and FDA scale. Result: According …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 2, 2022 · pp. 19–25 Read article
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Ergonomic Risk Analysis Using Various Ergonomic Assessment Tools to Reduce the Risk of Musculoskeletal Disorders (Msds): A Case Study in Construction Industry
Abstract: As construction workers are often exposed to ergonomic risks, an accurate ergonomic risk analysis for job design is necessary to mitigate risks and consequently improve productivity. Ergonomic risks, which include musculoskeletal disorders (MSDs), cumulative trauma disorders, repetitive strain injuries, and repetitive motion injuries, are a major cause of occupational illness. The purpose of this paper is to identify the actual and potential hazards associated with Plastic mortar preparation, metal cutting, …
Published in Journal of Production Research & Management · Vol. 13, Issue 2, 2023 · pp. 33–63 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Hybrid Feature Selection Approach for Stability Prediction for Intracerebral Hemorrhage Patients
Abstract: Intra Cerebral Hemorrhage (ICH) stability estimation is useful for enhancing diagnosis accuracy, selecting the best course of treatment, and clinically evaluating variations with healthy individuals. Due to their low predictive value, the clinical application of several ICH progression scoring systems is constrained. The dataset includes clinical parameters including age, Glasgow Coma Scale (GCS), and CT Angiography (CTA) spot that have been retrieved using geometric features from the segmented bleeding volume …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 9–17 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Review of Health and Safety Hazards in Oil and Gas Industry using HIRA Method
Abstract: Oil and gas industry has various types of hazards such as physical, chemical, biological, ergonomical, psychological. From the annual reports, case studies and research papers of previous years were analyzed for knowing the possible hazards during different activities in oil and gas industries. The result indicates change in control systems can develop healthy and safe environment at work place. Risk assessment is required on a daily basis in the oil …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 2, 2022 · pp. 1–5 Read article