Cited by 274Machine Learning in HealthcareArtificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

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How to develop machine learning models for healthcare

Chen, Po-Hsuan Cameron, Liu, Yun, Peng, Lily·2019·Nature Materials

DOI 10.1038/s41563-019-0345-0

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Li, J., Li, J., Yin, S., Chen, G., Luo, W., Xu, S., Liu, J., Cai, S., Zhang, M., & Li, M. (2026) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2026.103548
Advancing dementia care through computational approaches: A hybrid literature review of AI and machine learning applications in cognitive support
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Authors: Chen, P.-H. C., Liu, Y., & Peng, L.
Affiliations: Google (United States) (US)
Corresponding author: Chen, Po-Hsuan Cameron
ORCID: Chen, Po-Hsuan Cameron
Liu, Yun
Peng, Lily
Venue: Nature Materials
Publisher: Springer Science and Business Media LLC
Published: 2019-04-18
Volume: 18
Issue: 5
Pages: 410-414
ISSN: 1476-1122 (ISSN-L)
1476-4660
DOI: 10.1038/s41563-019-0345-0
OpenAlex: W2936086693
Semantic Scholar: e13c152b9f9945578e55885bb4ea6a079769cec3
Cited by: 274
References: 25
Citations by year: 2026: 16 · 2025: 32 · 2024: 41 · 2023: 47 · 2022: 56 · 2021: 43 · 2020: 35 · 2019: 4
FWCI: 15.92
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature Materials (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords: machine learning models, health care, clinical decision support, model validation, model implementation, patient care
MeSH terms: Machine Learning, Algorithms, Cardiovascular Diseases, Diabetic Retinopathy, Diagnosis, Computer-Assisted, Diagnostic Errors, Echocardiography, Humans, Image Processing, Computer-Assisted, Medical Informatics, Models, Theoretical, Predictive Value of Tests, Prognosis, Radiotherapy Planning, Computer-Assisted, Reproducibility of Results, Drug Discovery

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