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1,113,187+ results for "machine learning health" from openalex (0.58s)

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Spatiotemporal estimation of the PM2.5 concentration and human health risks combining the three-dimensional landscape pattern index and machine learning methods to optimize land use regression modeling in Shaanxi, China

Ping Zhang, Lianwei Yang, Wenjie Ma

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Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises

João Guerreiro, Roger Garriga, Toni Lozano Bagén

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Machine Learning and Systems Biology in Genomics and Health

Singh, Shailza

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Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan et al.

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An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

Bin Yang, Yaguo Lei, Feng Jia

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Multi-feature integration and machine learning for guided wave structural health monitoring: Application to switch rail foot

Weixu Liu, Zhifeng Tang, Fuzai Lv

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Improving cardiovascular risk prediction through machine learning modelling of irregularly repeated electronic health records

Chaiquan Li, Xiaofei Liu, Peng Shen

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Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa et al.

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Assessing Methods and Tools to Improve Reporting, Increase Transparency, and Reduce Failures in Machine Learning Applications in Health Care

Christian Garbin, Oge Marques

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Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach

Suranga N. Kasthurirathne, Paul Biondich, Shaun J. Grannis et al.

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Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system

Ying Yu, Md. Mahjib Hossain, Rabbi Sikder

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The mental health and well-being of students and teachers during the COVID-19 pandemic: combining classical statistics and machine learning approaches

Norman B. Mendoza, Ronnel B. King, Joseph Y. Haw

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