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Language-model-based patient embedding using electronic health records facilitates phenotyping, disease forecasting, and progression analysis

2024-09-23

Abstract excerpt

<title>Abstract</title> <p>Current studies regarding the secondary use of electronic health records (EHR) predominantly rely on domain expertise and existing medical knowledge. Though significant efforts have been devoted to investigating the application of machine learning algorithms in the EHR, efficient and powerful representation of patients is needed to unleash the potential of discovering new medical patter...

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Literature Corpus work
b4a34b6d-3270-5b67-b748-426573b009c6
DOI
10.21203/rs.3.rs-4708839/v1
Open publication

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Language-model-based patient embedding using electronic health records facilitates phenotyping, disease forecasting, and progression analysisDOI 10.21203/rs.3.rs-4708839/v1
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