Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
2020 · BMJ · 3,177 citations
https://doi.org/10.1136/bmj.m1328
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Jie Ma
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Jie Ma is an academic researcher from Academy of Medical Sciences. The author has contributed to research in topics: Meta-analysis and systematic reviews & Artificial Intelligence in Healthcare and Education & Lung Cancer Research Studies. The author has an h-index of 26, co-authored 274 publications.
ORCID: 0000-0002-3900-1903Papers by this author
worksA systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 · Journal of Clinical Epidemiology · 1,739 citations
https://doi.org/10.1016/j.jclinepi.2019.02.004
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
2021 · BMJ Open · 724 citations
https://doi.org/10.1136/bmjopen-2020-048008
Evaluation of clinical prediction models (part 1): from development to external validation
2024 · BMJ · 397 citations
https://doi.org/10.1136/bmj-2023-074819
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
2021 · BMJ · 330 citations
https://doi.org/10.1136/bmj.n2281
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
2022 · Diagnostic and Prognostic Research · 62 citations
https://doi.org/10.1186/s41512-022-00126-w
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