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1,162,012+ results for "machine learning health" from openalex (0.67s)

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Integration of Machine Learning and IoT in Healthcare Domain

Ananya Chattopadhyay, Sushruta Mishra, Alfonso González‐Briones et al.

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PMH34 INTEGRATING COUNTY-LEVEL HEALTH, HUMAN SERVICES, AND CRIMINAL JUSTICE DATA TO PREDICT RISK OF OPIOID OVERDOSE AMONG MEDICAID BENEFICIARIES: A MACHINE LEARNING APPROACH

Wei‐Hsuan Lo‐Ciganic, Julie M. Donohue, Eric Hulsey et al.

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High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model

Renjun Feng, Shunli Wang, Chunmei Yu

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Dynamic bayesian networks for machine diagnostics: hierarchical hidden markov models vs. competitive learning

Fatih Camci, Ratna Babu Chinnam

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Moment of Convergence: Training of medical graduates in bridging the gap between evolving technology in Artificial Intelligence-Machine Learning (AI-ML) & health care education

Minu Bajpai, Abhijat Sheth

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Performance Analysis of Various Machine Learning Approaches in Stroke Prediction

Md. Shafiul Azam, Md. Habibullah, Humayan Kabir Rana et al.

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DECIPHERING THE GENETIC LINKS BETWEEN PSYCHOLOGICAL STRESS, AUTOPHAGY, AND DERMATOLOGICAL HEALTH: INSIGHTS FROM BIOINFORMATICS, SINGLE-CELL ANALYSIS, AND MACHINE LEARNING IN PSORIASIS AND ANXIETY DISORDERS

Xiaoling Liu

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Commentary: Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance

Alexander D G Anderson, Serigne Lo, Pascale Guitera et al.

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Correction: Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

Shoko Maru, Ryohei Kuwatsuru, Michael Matthias

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Automatic recognition of ingestive-related behaviors of dairy cows based on triaxial acceleration

Weizheng Shen, Fei Cheng, Yu Zhang

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Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease

E. Hope Weissler, Jikai Zhang, Steven Lippmann

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The PRISMA 2020 statement: An updated guideline for reporting systematic reviews

Matthew J. Page, Joanne E. McKenzie, Patrick M. Bossuyt et al.

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