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1,576,320+ results for "machine learning health" from openalex (0.77s)

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Bridging prediction and action: An integrative review of frameworks, strategies, and enablers for translating machine learning outputs into public health interventions

Godwin Tetteh Wayoe, Godson Teye Apaflo

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Machine learning enhanced expert system for detecting heart failure decompensation using patient reported vitals and electronic health records

Shumit Saha, Heather Joan Ross, Pedro Elkind Velmovitsky et al.

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Machine learning-driven bioavailability prediction in early-stage drug development: a KNIME-based computational workflow for digital health applications

Majdi Hammami, Walid Yeddes, Hamza Gadhoumi

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CO17 Machine Learning Analysis of Patient Engagement and One-Year Health Care Resource Utilization and Costs in Patients with Opioid Use Disorder Treated with a Prescription Digital Therapeutic

R. Mahon, H.M. Shapiro, Fulton F Velez

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Machine Learning-Based Maternal Health Risk Assessment: A Comparative Analysis of Classification Algorithms for Predicting Risk Levels During Pregnancy

Usha Sachidananda Adiga, Sampara Vasishta, P. Supriya et al.

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Correction: Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria

Aaron Michael Cohen, Steven R. Chamberlin, Thomas G. DeLoughery et al.

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Rising Ozone Exposure and Future Public Health Risks in Germany and Neighboring Regions Revealed by Automated Machine Learning (AutoML)

Jialing Qin, Zhonghua Zheng, Ye Tian

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Efficient equalisers for OFDM and DFrFT-OCDM multicarrier systems in mobile E-health video broadcasting with machine learning perspectives

Hani H. Attar, Ahmed Solyman, Abd-Elnaser Fawzy Mohamed et al.

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Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study

Wenxiu Xie, Meng Ji, Tianyong Hao

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Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach

Wenxiu Xie, Meng Ji, Yanmeng Liu

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Machine Learning-Enhanced Flexible Mechanical Sensing

Yuejiao Wang, Mukhtar Lawan Adam, Yunlong Zhao

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Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users

Christopher A. Meaney, Xuesong Wang, Jun Guan

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