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IJERPH, Vol. 20, Pages 2359: Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran
hi-Jie Lu The new generation of nonvitamin K antagonists are broadly applied for stroke prevention due to their notable efficacy and safety. Our study aimed to develop a suggestive utilization of dabigatran through an integrated machine learning (ML) decision-tree model. Participants taking different doses of dabigatran in the Randomized Evaluation of Long-Term Anticoagulant Therapy trial were included in our analysis and defined as the 110 mg and 150 mg groups. The proposed scheme integrated ML methods, namely naive Bayes, random forest (RF), classification and regression tree (CART), and extreme gradient boosting (XG...
Source: International Journal of Environmental Research and Public Health - January 29, 2023 Category: Environmental Health Authors: Yung-Chuan Huang Yu-Chen Cheng Mao-Jhen Jhou Mingchih Chen Chi-Jie Lu Tags: Article Source Type: research

Modeling of COVID ‐19 death rate using various air pollutants: A multiple linear regression approach
AbstractAir pollution is a significant health risk, especially for vulnerable populations such as children, people with chronic illnesses, the elderly, and the economically and socially disadvantaged. Furthermore, air pollution has enormous social costs that we all bear in the form of premature deaths, low productivity, sick leave, and other strains on the healthcare system. The primary sources of air pollution are traffic, home fires, and industry. Measuring NO2 levels in air pollution reveals the extent of pollution caused by traffic, particularly diesel vehicles, which are the primary source of NO2. COVID-19 rates are r...
Source: Environmental Quality Management - February 23, 2023 Category: Environmental Health Authors: Kambhampati Teja, Nirban Laskar, Ruhul Amin Mozumder Tags: RESEARCH ARTICLE Source Type: research

IJERPH, Vol. 20, Pages 5290: Cognitive Performance Deficits Are Associated with Clinically Significant Depression Symptoms in Older US Adults
nos Accumulating research has described cognitive impairment in adults with depression, however, few studies have focused on this relationship during older adulthood. Our cross-sectional study investigated the association between cognitive function performance and clinically significant depression symptoms in older adults. We analysed the data from the 2011 to 2014 National Health and Nutrition Examination Survey on older (aged 60 years and above) US adults. Cognitive function was assessed as a composite score and on a test-by-test basis based on the Consortium to Establish a Registry for Alzheimer’s Dise...
Source: International Journal of Environmental Research and Public Health - March 28, 2023 Category: Environmental Health Authors: Orestis Delardas Panagiotis Giannos Tags: Brief Report Source Type: research

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