"Mining Themes in Clinical Notes to Identify Phenotypes and to Predict ..."

Ankita Agarwal et al. (2023)

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DOI: 10.1109/ICDH60066.2023.00038

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-07

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  - conf/icdh/AgarwalBRTCC23
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Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita:
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. ICDH 2023: 208-216

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