- Title
- Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports
- Creators
- Jamie Deng - University of MiamiYusen Wu - University of MiamiHilary Hayssen - University of Maryland, BaltimoreBrain Englum - University of Maryland, BaltimoreAman Kankaria - University of Maryland, BaltimoreMinerva Mayorga-Carlin - University of Maryland, BaltimoreShalini Sahoo - University of Maryland, BaltimoreJohn Sorkin - University of Maryland, BaltimoreBrajesh Lal - University of Maryland, BaltimoreYelena Yesha - University of MiamiPhuong Nguyen - University of Miami
- Publication Details
- Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, pp.480-487
- Number of pages
- 8
- Grant note
- University of Minnesota Duluth (http://data.elsevier.com/vocabulary/SciValFunders/100009742) NIH AIM-AHEAD University of Maryland, Baltimore County (http://data.elsevier.com/vocabulary/SciValFunders/100006636) ATIP 2022 / University of Minnesota Duluth (http://data.elsevier.com/vocabulary/SciValFunders/100009742)
- Academic Unit
- College of A&S; Institute for Data Science and Computing; Institute for Data Science and Computing; A&S - Computer Science
- Language
- English
- Resource Type
- Conference proceeding
- Record Identifier
- 991032796194802976
Conference proceeding
Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports
Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, pp.480-487
2023
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