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48 results for “Risk Score”

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Research ArticleOpen accessIn the abstractCytogenetic Analysis among Train Depot Workers Exposed to Total Volatile Organic CompoundsNormah Awang, Siti Adillah Isah, Asmah HamidOccupational exposure to toxic chemicals such as Total Volatile Organic Compounds (TVOC) from diesel engine exhaust implicates genotoxic risk. The objective of this study was to determine the DNA damage among KL Sentral depot workers exposed to TVOC by means of cytogenetic analysis. Data were obtained partially from disseminated questionnaires and buccal cells samples were collected from a total of … …OnLine Journal of Biological Sciences, Vol. 15, Issue 2 · 12 Jun 2015 · 7,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractNutritional Supplements and its Effect on Quality of Life and SleepSara Sarrafi Zadeh, Khyrunnisa BegumProblem statement: Inadequate sleep has been recognized as a risk factor for poor health status. Mental stress, body pains, melatonin deficiency, late night awakening disturbing the body clock are triggers for poor quality of sleep and fatigue. Fatigue due to insomnia is a major cause for poor quality of life. Evidences suggest certain nutrients to exert profound influence on quality … …Current Research in Medicine, Vol. 2, Issue 2 · 1 Dec 2011 · 9,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractFinancial Service of Wealth Management Banking: Balanced Scorecard ApproachCheng-Ru Wu, Chin-Tsai Lin, Pei-Hsuan TsaiProblem Statement: There are four main banking business sectors in Taiwan, involving the areas of consumer, corporate, wealth management, and investment banking. The wealth management banking sector is actively promoted for reaping a risk-free premium. In the proposed model, the dimensions of financial services for wealth management banks have been taken from four perspectives derived from balanced scorecard approach, viz. … …Journal of Social Sciences, Vol. 4, Issue 4 · 31 Dec 2008 · 8,454 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Canadian Regulations and Remediation Methods for Diesel Oil Contaminated SoilsD. G. Rushton, A E. Ghaly, K. MartinellDiesel fuel released into the environment can contaminate ground water, degrade potable water supplies and cause the collapse of fisheries. They are toxic to both animals and humans and can affect the liver, lungs, kidneys, and nervous system leading to cancer as well as immunological and reproductive effects. The objectives of this study were to review current Canadian regulations pertaining … …American Journal of Applied Sciences, Vol. 4, Issue 7 · 31 Jul 2007 · 8,758 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImproving 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 accessAll words, across the recordMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMeasuring Investors' Reaction to the Adoption of International Financial Reporting Standards in Greece, Using a Market-Based ModelAthanasios Vazakidis, Stergios AthianosProblem statement: The aim of this study is to highlight the main differences between International Accounting Standards and Greek accounting, The sample constituted by 90 randomly selected Greek companies which are listed in Athens Stock Exchange were scrutinized concerning the differences in financial figures which have been appeared due to the adoption of IFRS. Approach: The use of capital asset … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 7,538 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,324 accessesView PDFCite