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Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request.

, , , , , , , , , and . J. Biomed. Semant., 8 (1): 10:1-10:11 (2017)

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Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program., , , and . BMC Medical Informatics Decis. Mak., 19 (1): 131:1-131:15 (2019)bench4gis: Benchmarking Privacy-aware Geocoding with Open Big Data., and . IEEE BigData, page 4067-4070. IEEE, (2019)Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request., , , , , , , , , and . J. Biomed. Semant., 8 (1): 10:1-10:11 (2017)Predicting 30-day all-cause readmissions from hospital inpatient discharge data., , , and . HealthCom, page 1-6. IEEE, (2016)Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers., , , and . HealthCom, page 1-6. IEEE, (2018)Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning Cases., , , and . IEEE BigData, page 3727-3736. IEEE, (2020)Machine Learning Approaches for Predicting High Utilizers in Health Care., , , and . IWBBIO (2), volume 10209 of Lecture Notes in Computer Science, page 382-395. (2017)Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program., , , and . AMIA, AMIA, (2017)geoPIPE: Geospatial Pipeline for Enhancing Open Data for Substance Use Disorders Research., , , and . AMIA, AMIA, (2022)