The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.
How to develop machine learning models for healthcare
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In the citing paper
“However, if these samples are not representative of the overall patient population, there is an increased risk of the reported model performance not being representative of the true model performance 37 .”
From Empirical data drift detection experiments on real-world medical imaging data (2024) · cites this paper as [37]
Citations
Cites
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Cited by
Sorted by citations
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115
Significance of machine learning in healthcare: Features, pillars and applications
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How Machine Learning Will Transform Biomedicine
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Machine Learning for Healthcare Wearable Devices: The Big Picture
Sabry, F., Eltaras, T., Labda, W., Alzoubi, K., & Malluhi, Q. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/4653923 · Cited by 321
“As it is pretty obvious, ML applications for healthcare wearables are a multidisciplinary field that requires standards about naming conventions, evaluation metrics, ethical reporting of research results, and clinical impact as suggested in [101] as these devices may directly affect human life.”
BackgroundAI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring
Wasilewski, T., Kamysz, W., & Gębicki, J. (2024) · Biosensors · doi:10.3390/bios14070356 · Cited by 328
“The ML model must be deployed and utilized in both retrospective and prospective studies, with the clinical impact assessed [146].”
Method
Metadata
- Authors
- Chen, P.-H. C., Liu, Y., & Peng, L.
- Affiliations
- Google (United States) (US)
- Corresponding author
- Chen, Po-Hsuan Cameron
- Venue
- Nature Materials
- Published
- 2019-04-18
- Volume
- 18
- Issue
- 5
- Pages
- 410-414
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- 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
- 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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