| Id | 2587 | |
| Author | Zhou H.; Silverman G.; Niu Z.; Silverman J.; Zhang R.; Evans R.; Austin R. | |
| Title | Annotating Music Therapy, Chiropractic and Aquatic Exercise Using Electronic Health Record | |
| Reference | Zhou H.; Silverman G.; Niu Z.; Silverman J.; Zhang R.; Evans R.; Austin R. Annotating Music Therapy, Chiropractic and Aquatic Exercise Using Electronic Health Record,Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022 |
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| Keywords | eHealth; Knowledge representation; Natural language processing systems; Records management; Clinical notes; Complementary and integrative health; Electronic health; Electronic health record; Health records; Integrative healths; Knowledge-representation; Music therapy; NLP systems; Performance; Clinical research |
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| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139018404&doi=10.1109%2fICHI54592.2022.00121&partnerID=40&md5=a2425444be071f8580214662c7fa81f6 |
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| Abstract | Complementary and Integrative Health (CIH) has gained increasing popularity in the past decades. The overall goal of this study is to represent information pertinent to music therapy, chiropractic, and aquatic exercise in an EHR system. A total of 300 clinical notes were randomly selected and manually annotated. Annotations were made for status, symptom, and frequency of each approach. This set of annotations was used as a gold standard to evaluate performance of NLP systems used in this study (specifically BioMedICUS, MetaMap and cTAKES) for extracting CIH concepts. Three NLP systems achieved an average lenient match Fl-score of 0.50 in all three CIH approaches. BioMedICUS achieved the best performance in music therapy with an F1-score of 0.73. This study is a pilot to investigate CIH representation in clinical note and lays a foundation for using EHR for clinical research for CIH approaches. © 2022 IEEE. |
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| Metodology | Technique |
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