[HTML][HTML] Considerations for the use of machine learning extracted real-world data to support evidence generation: a research-centric evaluation framework
Simple Summary Many patient clinical characteristics, such as diagnosis dates, biomarker
status, and therapies received, are only available as unstructured text in electronic health …
status, and therapies received, are only available as unstructured text in electronic health …
Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework
M Estevez, CM Benedum, C Jiang, AB Cohen… - …, 2022 - search.proquest.com
A vast amount of real-world data, such as pathology reports and clinical notes, are captured
as unstructured text in electronic health records (EHRs). However, this information is both …
as unstructured text in electronic health records (EHRs). However, this information is both …
Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework.
M Estevez, CM Benedum, C Jiang, AB Cohen… - Cancers, 2022 - europepmc.org
A vast amount of real-world data, such as pathology reports and clinical notes, are captured
as unstructured text in electronic health records (EHRs). However, this information is both …
as unstructured text in electronic health records (EHRs). However, this information is both …
Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework.
M Estevez, CM Benedum, C Jiang, AB Cohen… - …, 2022 - search.ebscohost.com
Abstract Simple Summary: Many patient clinical characteristics, such as diagnosis dates,
biomarker status, and therapies received, are only available as unstructured text in …
biomarker status, and therapies received, are only available as unstructured text in …
Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework
M Estevez, CM Benedum, C Jiang, AB Cohen… - …, 2022 - pubmed.ncbi.nlm.nih.gov
A vast amount of real-world data, such as pathology reports and clinical notes, are captured
as unstructured text in electronic health records (EHRs). However, this information is both …
as unstructured text in electronic health records (EHRs). However, this information is both …
[HTML][HTML] Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework
M Estevez, CM Benedum, C Jiang, AB Cohen… - Cancers, 2022 - ncbi.nlm.nih.gov
A vast amount of real-world data, such as pathology reports and clinical notes, are captured
as unstructured text in electronic health records (EHRs). However, this information is both …
as unstructured text in electronic health records (EHRs). However, this information is both …