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1,579,778+ results for "machine learning health" from openalex (0.81s)

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Addressing Background Genomic and Environmental Effects on Health through Accelerated Computing and Machine Learning: Results from the 2025 Hackathon at Carnegie Mellon University

Melanie Gainey

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Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation

Ruvini Sanjeewa, Ravi Iyer, Pragalathan Apputhurai

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Based on Hybrid Machine Learning: A Novel Approach for Battery State of Health Prediction in Electric Vehicle Automated Energy Management Systems

Lingyi Liu

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Integrating Atmospheric Physics and Spatiotemporal Machine Learning to Project Wildfire Smoke Exposure and Health Risks in Canada under Future Climate

Yanrui Li, Jian‐Xiong Sheng

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Integrating Atmospheric Physics and Spatiotemporal Machine Learning to Project Wildfire Smoke Exposure and Health Risks in Canada under Future Climate

Yanrui Li, Jian‐Xiong Sheng

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Cardiovascular-kidney-metabolic health, genetic susceptibility, and incident cancer risk: a prospective UK biobank cohort and machine learning study

Xue He, Junqiao An, Chunjia Yan

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From Grey-Box to Green-Box: When can Physics-Informed Machine Learning Reduce Carbon Footprints in Structural Health Monitoring?

Daisy R Bradley, NATHAN A. HINCHLIFFE, Daniel James Pitchforth et al.

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A Digital Twin Framework for Dual-Path Estimation of Battery State of Charge and State of Health Using Hybrid Physics-Informed Machine Learning

Andhe Dharani, Siva Subbarao Patange, Munishamaiah Krishna et al.

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Machine learning, statistical learning and the future of biological research in psychiatry

Raquel Iniesta, Daniel R. Stahl, Peter McGuffin

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How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions: a case study on fruit intake

Samvel Mkhitaryan, Philippe J. Giabbanelli, Maciej K. Wozniak et al.

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Additional file 2 of Machine learning of plasma metabolome identifies biomarker panels for metabolic syndrome: findings from the China Suboptimal Health Cohort

Wang, Hao, Youxin Wang, Xingang Li

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Electronic Health Record-Based Machine Learning Models for Predicting Revascularization, Amputation, and Cardiovascular Mortality in At-Risk Patients

Sydney E. Browder, Mirjami Laivuori, Tomas McIntee

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