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1,576,320+ results for "machine learning health" from openalex (0.74s)

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Universal Immunization Program, Health Infrastructure and Immunization Coverage in India: A Lesson from Machine Learning

Dweepobetee Brahma

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Wearable Health Monitor for Older Adults: Leveraging Sensors and Machine Learning for Tracking Vital Signs and Physical Activity

Ishmit Singhania, Reetu Jain

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Application of machine learning for diagnostic prediction of root caries

Man Hung, Maren Wright Voss, Megan N. Rosales

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Retraction Note: Securing health care data through blockchain enabled collaborative machine learning

C. U. Om Kumar, Sudhakaran Gajendran, V. Balaji

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Predicting neonatal respiratory distress syndrome and hypoglycaemia prior to discharge: Leveraging health administrative data and machine learning

Kim Steven Betts, Steve R Kisely, Rosa Alati

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Developing Machine Learning Models for Cognitive Disorder Classification Using Administrative Health Data and Specialist‐Confirmed Diagnoses

Gavin Thomas, Nils D. Forkert, Eric Edward Smith

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Patient-Centric Approach for Utilising Machine Learning to Predict Health-Related Quality of Life Changes During Chemotherapy

Zuzanna Wójcik, Vania Gatseva Dimitrova, Lorraine Warrington et al.

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Exploring the importance of clinical and sociodemographic factors on self-rated health in midlife: A cross-sectional study using machine learning

Hisrael Passarelli-Araújo

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A Study on the Repercussions of the COVID-19 Pandemic in the Mental Health of the Common Public: Machine Learning Approach

Anusha Jayasimhan, Preetiha Jayashanker, S Charanya et al.

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An online monitoring and health assessment system for equipment based on the integration of machine vision and deep learning

Lingling Liu, Baoqiang Li, Lei Zou

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Identifying the determinants of health protective behaviors during the COVID-19 pandemic using machine learning: an analysis of six countries

Joshua M Chevalier, Leonard Stellbrink, Lisanne CJ Steijvers et al.

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Using Machine Learning to Mine Diverse Mental Health Presentations to Emergency Departments Before and during the COVID-19 Pandemic

Carly Hudson, Grace Branjerdporn, Ian Paul Hughes

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