Works matching IS 23796146 AND DT 2020 AND VI 4 AND IP 4
Results: 9
Development and evaluation of an EHR‐based computable phenotype for identification of pediatric Crohn's disease patients in a National Pediatric Learning Health System.
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- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10243
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- Article
Why does human phenomics matter today?
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- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10249
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- Article
Thanks to our peer reviewers.
- Published in:
- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10247
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- Article
Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records.
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- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10246
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- Article
Fitness for purpose of routinely recorded health data to identify patients with complex diseases: The case of Sjögren's syndrome.
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- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10242
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- Article
Subphenotyping depression using machine learning and electronic health records.
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- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10241
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- Article
Phenotyping severity of patient‐centered outcomes using clinical notes: A prostate cancer use case.
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- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10237
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- Article
Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language.
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- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10233
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- Article
Issue Information.
- Published in:
- Learning Health Systems, 2020, v. 4, n. 4, p. 1, doi. 10.1002/lrh2.10198
- Publication type:
- Article