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Research ArticleOpen accessIn the keywordsITERATIVE DICHOTOMISER-3 ALGORITHM IN DATA MINING APPLIED TO DIABETES DATABASEP. VasudevanIn this study, eight major factors playing significant role in the Pima Indian population are analyzed. Real time data is taken from the large dataset of National Institute of Diabetes and Digestive and Kidney Diseases. The data is subjected to an analysis by logistic regression method using SPSS 7.5 statistical software, to isolate the most significant factors among the eight … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 7,075 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStabilization of a Nonlinear Delay SystemWalid Arouri, Elyes Maherzi, Mongi Besbes, Houda Ben Attia SethomProblem statement: The analysis and control of delayed systems are becoming more and more research topics in progress. This is mainly due to the fact that the delay is frequently encountered in technological systems. This can affect their significantly operations. Most control command laws are based on current digital computers and delays are intrinsic to the process or in the … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 31 Jan 2012 · 6,844 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThrombophilic Genes Mutations in Women with Repeated In-Vitro Fertilization FailureNaglaa Fathy Al Husseini, Ahmad Y. Rezk, Mosad M. Odah et al.Problem statement: Thrombophilia has been recently implicated in early pregnancy loss and IVF implantation failure, by impairing the initial vascularization process occurring at implantation, which is necessary for a successful pregnancy. Approach: The aim of this study is to assess the presence possibility of mutation in thrombophilic genes [Factor V (FV) gene, Prothrombin (PT) gene and Methylenetetrahydrofolate Reductase (MTHFR) gene] … …Current Research in Medicine, Vol. 2, Issue 1 · 29 Mar 2011 · 7,662 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate Analysis of Gestational Diabetes Risk Factors in a North African Population: A Call for Targeted Maternal Health InterventionsHafssa Abdellaoui, Nadia Ouzennou, Adnane Hakem, Samia RkhaGestational Diabetes (GD) is a multifactorial condition influenced by demographic, anthropometric and obstetric determinants. Identifying predictive factors is essential to anticipate the disorder, guide prevention strategies and reduce maternal and neonatal complications. To assess the risk factors associated with GDM in pregnant women in the Marrakech-Safi region, in order to fill a gap in national data. A retrospective cross-sectional study … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 10 May 2026 · 1,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class BalancingKittipol Wisaeng, Pankom Sriboonlue, Benchalak MuangmeesriAccurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and advanced machine learning models for diabetes classification using a structured clinical dataset. Seven baseline algorithms were assessed against five advanced ensemble methods: CatBoost, LightGBM, XGBoost, Voting Ensemble, and Stacking Ensemble. To improve algorithm learning, the Synthetic … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Feb 2026 · 1,976 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneration Z Health Trends: Data Mining of Sleep and Lifestyle PatternsFrancka Sakti Lee, Johanes Fernandes Andry, Kevin Christianto et al.This study analyzes sleep health and lifestyle data among Generation Z using RapidMiner to identify key issues such as insomnia and stress within this demographic. The research is motivated by the increasing concerns surrounding sleep health and lifestyle choices that significantly impact overall well-being. The primary objective is to identify patterns and correlations in health data to inform targeted interventions … …Journal of Computer Science, Vol. 21, Issue 9 · 19 Oct 2025 · 3,632 accessesView PDFCite
Research ArticleOpen accessIn the abstractGradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk FactorsAniket Kailas Shahade, Priyanka V. DeshmukhHeart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decision Tree, Random Forest, AdaBoost, and Gradient Boost, to predict the likelihood of stroke, with Gradient Boosting delivering the most accurate results. Our analysis uncovers intriguing and unexpected relationships between stroke risk and various … …Journal of Computer Science, Vol. 21, Issue 1 · 16 Dec 2024 · 4,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssociation Study between Different Anthropometric Measures and other Clinical Markers in Saudi Female Students at King Abdulaziz UniversityAsmaa H Almalki, Maha ST Saad, Shahad S Alzahrani et al.This research addresses nutritional status, Body Mass Index (BMI), Waist-Hip Ratio (WHR), physical activity and Blood Pressure (BP) among female students attending King Abdul-Aziz University (KAU) and correlates the changes in BMI and WHR with Systolic Blood Pressure (SBP) and diastolic blood pressure (DBP). Saudi female students (N = 232) aged 18 to 27 years old were recruited over two … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 1 · 21 Jan 2020 · 7,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with AnalyticsSelvaraj Rajalakshmi, Kuthadi Venu MadhavHuman heart is the major organ of human being which could fail the other systems in the body at the same time. Hence predicting heart disease is one of the challenging researches that requires meticulous analysis of heart rhythms properly. The irregular heart rhythms or beat is referred to as the Arrhythmia where heart rhythms with low or high rates … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluate College Students’ Knowledge, Towards Smoking Effect on Diabetes ConsequencesKhansaa A. Ibrahim AlbaroodiSmoking is a modifiable risk factor for many other diseases, this study aimed to evaluate student’s awareness in relation to smoking consequences on diabetes. This is a cross-sectional study involved students who attended al-Safwa university college in Karbala, Iraq. Data were collected within one month (February 2018). The collected data were analysed using the SPSS (version 18.0) software package (SPSS … …American Journal of Applied Sciences, Vol. 16, Issue 1 · 20 Feb 2019 · 7,457 accessesView PDFCite