Article: Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning.
2023 Volume 15, Issue 6
Abstract: Meaningful real-world evidence (RWE) generation requires unstructured data found in electronic health records (EHRs) which are often missing from administrative claims; however, obtaining relevant data from unstructured EHR sources is resource-intensive. ...
Abstract | Meaningful real-world evidence (RWE) generation requires unstructured data found in electronic health records (EHRs) which are often missing from administrative claims; however, obtaining relevant data from unstructured EHR sources is resource-intensive. In response, researchers are using natural language processing (NLP) with machine learning (ML) techniques (i.e., |
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Language | English |
Publishing date | 2023-03-20 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2527080-1 |
ISSN | 2072-6694 |
ISSN | 2072-6694 |
DOI | 10.3390/cancers15061853 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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