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1,578,232+ results for "machine learning health" from openalex (0.65s)

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Abstract 14993: A Novel Machine-Learning Method to Better Estimate Low-Density Lipoprotein Cholesterol Levels Using Electronic Health Records

Gyu Chul Oh, Taehoon Ko, Haeyoung Lee

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MACHINE-LEARNING PREDICTION OF HIGH CARDIOVASCULAR RISK USING ANNUAL HEALTH CHECKUP DATA: PERFORMANCE AND KEY CONTRIBUTORS IDENTIFIED BY SHAP ANALYSIS

Kengo Moriyama, Yurina Sakai, Yasuhiro Nishizaki

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Understanding cross-data dynamics of individual and social/environmental factors through a public health lens: explainable machine learning approaches

Siwoo Jeong, Sung Bum Yun, Soon Yong Park

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Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning

Touhid Alam, Md All Shahria, Sanjeda Dewan Mithila

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Machine learning for a sustainable energy future

Zhenpeng Yao, Yanwei Lum, Andrew K. Johnston

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Development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records (LiverTAI)

Gloria Sánchez‐Antolín, Gema de la Poza, Lorena Hidalgo et al.

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Climate-Informed Machine Learning for Predicting Heat-Related Health Risks: Towards Resilient and Personalized Early Warning Systems

Idowu Olugbenga Adewumi, Wumi Ajayi

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Harnessing Machine Learning and Optimization Techniques for Identifying Risk Factor of Sleep Apnea by Exploring Sleep Health and Lifestyle Dataset

Mubashir Khan, Yashpal Singh, Harshit Bhardwaj

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Enhanced Machine Learning Model for Heart Disease Prediction with Naive Bayes, Warm, and Personalized Health Recommendations

Raghavendhar Karthik, P. Divya, Akash R

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Quantum Machine Learning Algorithms for Real-Time Epidemic Surveillance and Health Policy Simulation: A Review of Emerging Frameworks and Implementation Challenges

Olasehinde Omolayo, Ajao Ebenezer Taiwo, Tope David Aduloju et al.

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Application of data mining and machine learning on occupational health and safety struck-by incidents on south African construction sites: a CRISP-DM approach.

Logan Charl Adams

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Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium

Stefan Hegselmann, Helen H. Zhou, Yuyin Zhou

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