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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

What Sub-Saharan African Nations Can Teach the U.S. About Black Maternal Health
While poor maternal outcomes among Black women in the U.S. is not new, improving it is imperative. U.S. policymakers can look to sub-Saharan Africa for guidance on reversing this trend. Credit: Ernest Ankomah/IPSBy Ifeanyi NsoforABUJA, Jun 2 2023 (IPS) New research shows that Black mothers in the United States disproportionately live in counties with higher maternal vulnerability and face greater risk of preterm death for the fetus, greater risk of low birth weight for a baby, and a higher number of maternal deaths. While poor maternal outcomes among Black women in the U.S. is not new, improving it is imperative. U.S. poli...
Source: IPS Inter Press Service - Health - June 2, 2023 Category: International Medicine & Public Health Authors: Ifeanyi Nsofor Tags: Africa Gender Headlines Health Inequality North America Poverty & SDGs Maternal Health Source Type: news

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