Výsledky vyhledávání - Sunghwan Sohn
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Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data Autor Na Hong, Andrew Wen, Feichen Shen, Sunghwan Sohn, Chen Wang, Hongfang Liu, Guoqian Jiang
Vydáno 2019Artigo -
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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications Autor Guergana Savova, James Masanz, Philip V. Ogren, Jiaping Zheng, Sunghwan Sohn, Karin Kipper-Schuler, Christopher G. Chute
Vydáno 2010Artigo -
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Mining peripheral arterial disease cases from narrative clinical notes using natural language processing Autor Naveed Afzal, Sunghwan Sohn, S.E. Abram, Christopher G. Scott, Rajeev Chaudhry, Hongfang Liu, Iftikhar J. Kullo, Adelaide M. Arruda‐Olson
Vydáno 2017Artigo -
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Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation Autor Andrew Wen, Sunyang Fu, Sungrim Moon, Mohamed El Wazir, Andrew Rosenbaum, Vinod C. Kaggal, Sijia Liu, Sunghwan Sohn, Hongfang Liu, Jungwei Fan
Vydáno 2019Revisão -
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Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Knee Arthroplasty Autor Elham Sagheb, Taghi Ramazanian, Ahmad P. Tafti, Sunyang Fu, Walter K. Kremers, Daniel J. Berry, David G. Lewallen, Sunghwan Sohn, Hilal Maradit Kremers
Vydáno 2020Artigo -
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DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx Autor Saeed Mehrabi, Anand Krishnan, Sunghwan Sohn, Alexandra M. Roch, Heidi Schmidt, Joe Kesterson, Chris Beesley, Paul Dexter, C. Max Schmidt, Hongfang Liu, Mathew Palakal
Vydáno 2015Artigo -
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Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Total Hip Arthroplasty Autor Cody C. Wyles, Meagan E. Tibbo, Sunyang Fu, Yanshan Wang, Sunghwan Sohn, Walter K. Kremers, Daniel R. Berry, David G. Lewallen, Hilal Maradit Kremers
Vydáno 2019Artigo -
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Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index Autor Young J. Juhn, Euijung Ryu, Chung‐Il Wi, Katherine S. King, Momin M. Malik, Santiago Romero‐Brufau, Chunhua Weng, Sunghwan Sohn, Richard R. Sharp, John Halamka
Vydáno 2022Artigo -
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Vyhledávací nástroje:
Související témata
Computer science
Medicine
Artificial intelligence
Natural language processing
Internal medicine
Machine learning
Asthma
Information retrieval
Programming language
Algorithm
Economic growth
Economics
Environmental health
Health care
Population
Surgery
Data mining
Data science
Gold standard (test)
Medical record
Pediatrics
Biology
Cohort
Information extraction
Anthropology
Arthroplasty
Botany
Cohort study
Database
Diagnosis code