Sunghwan Sohn

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 74

Top Venues

AMIA

BIBM

CoRR

J. Biomed. Informatics

Publications

Muskan Garg, MSVPJ Sathvik, Shaina Raza, Amrit Chadha, Sunghwan Sohn
Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. ICWSM (2024)
Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31 (8) (2024)
Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina Kuttichi Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C. Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. J. Biomed. Informatics 152 (2024)
Muskan Garg, MSVPJ Sathvik, Amrit Chadha, Shaina Raza, Sunghwan Sohn
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text. CoRR (2024)
Eunhee Kim, Sunghwan Sohn, Hyunwook Moon, Jun Hyeok Choi, Kiwon Lee
Linear Frequency Modulation and Orthogonal Code Modulation for Co-Located Multiple-Input Multiple-Output High-Frequency Surface Wave Radar. Remote. Sens. 16 (1) (2024)
Muskan Garg, Xingyi Liu, MSVPJ Sathvik, Shaina Raza, Sunghwan Sohn
MultiWD: Multi-label wellness dimensions in social media posts. J. Biomed. Informatics 150 (2024)
Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. CoRR (2023)
Muskan Garg, Ronald C. Petersen, Xingyi Liu, Jennifer St. Sauver, Maria Vassilaki, Sunghwan Sohn
Navigating Sex-Specific Disease Dynamics in Incident Dementia. BIBM (2023)
MSVPJ Sathvik, Surjodeep Sarkar, Chandni Saxena, Sunghwan Sohn, Muskan Garg
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts. CoRR (2023)
Omar A. Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St Sauver, Sunghwan Sohn
Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering. MedInfo (2023)
Hilal Maradit Kremers, Sunghwan Sohn, Walter K. Kremers
Machine Learning Models for Prediction of Joint Infections Following Hip Replacement Surgery. BIBM (2023)
Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. SMC (2023)
Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. BIBM (2023)
Muskan Garg, Sunghwan Sohn
CareD: Caregiver's Experience with Cognitive Decline in Reddit Posts. ICHI (2023)
Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts. CoRR (2023)
Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. BioNLP@ACL (2023)
Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Michelle M. Mielke, Jennifer St Sauver, Ronald C. Petersen, Sunghwan Sohn
Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification. ICHI (2022)
Elham Sagheb, Taghi Ramazanian, A. Noelle Larson, Sunghwan Sohn, Hilal Maradit Kremers
Automated Detection of Type of Scoliosis Surgery from Operative Notes Using Natural Language Processing. ICHI (2022)
Euijung Ryu, Katherine S. King, Sunghwan Sohn, Chung-Il Wi, Momin M. Malik, Richard R. Sharp, John D. Halamka, Young J. Juhn
The role of individual-level socioeconomic status on bias of machine learning algorithm. AMIA (2022)
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 D. Halamka
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J. Am. Medical Informatics Assoc. 29 (7) (2022)
Sunyang Fu, Bjoerg Thorsteinsdottir, Xin Zhang, Guilherme S. Lopes, Sandeep R. Pagali, Nathan K. LeBrasseur, Andrew Wen, Hongfang Liu, Walter A. Rocca, Janet E. Olson, Jennifer St. Sauver, Sunghwan Sohn
A hybrid model to identify fall occurrence from electronic health records. Int. J. Medical Informatics 162 (2022)
Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, J. Wilfred Fan
A scoping review of medical practice variation research within the informatics literature. Int. J. Medical Informatics 165 (2022)
Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Jennifer St. Sauver, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
Quality Assessment of Functional Status Documentation in EHR Across Institutions. AMIA (2022)
Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Sandeep R. Pagali, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
Quality assessment of functional status documentation in EHRs across different healthcare institutions. Frontiers Digit. Health 4 (2022)
Sunyang Fu, Omar A. Ibrahim, Yanshan Wang, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn
Prediction of Incident Dementia Using Patient Temporal Health Status. MedInfo (2021)
Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn
Identification of asthma control factor in clinical notes using a hybrid deep learning model. BMC Medical Informatics Decis. Mak. (7) (2021)
Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn
Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. BIBM (2021)
Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, Jungwei Fan
A Scoping Review of Informatics Research for Clinical Practice Variation. AMIA (2021)
Andrew Wen, Liwei Wang, Huan He, Sijia Liu, Sunyang Fu, Sunghwan Sohn, Jacob A. Kugel, Vinod C. Kaggal, Ming Huang, Yanshan Wang, Feichen Shen, Jungwei Fan, Hongfang Liu
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. J. Biomed. Informatics 113 (2021)
Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu, Young J. Juhn
Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Sunyang Fu, Andrew Wen, Sandeep R. Pagali, Nansu Zong, Jennifer St Sauver, Sunghwan Sohn, Jungwei Fan, Hongfang Liu
The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records. MedInfo (2021)
Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas N. Person, David J. Cronkite, Sunghwan Sohn, Shawn N. Murphy, Justin H. Gundelach, Vivian S. Gainer, Victor M. Castro, Cong Liu, Todd Lingren, Frank D. Mentch, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al'ona Furmanchuk, Roshan Patel, David S. Carrell, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, Wei-Qi Wei
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. AMIA (2021)
Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael Taunton, Hilal Maradit Kremers, Ahmad P. Tafti
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) (2020)
Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn
Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes. BIBM (2020)
Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Liwei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu
Clinical concept extraction: A methodology review. J. Biomed. Informatics 109 (2020)
Elham Sagheb, Jungwon Yoon, Chung-Il Wi, Pragya Shrestha, Euijung Ryu, Miguel Park, Barbara P. Yawn, Hongfang Liu, Young J. Juhn, Sunghwan Sohn
Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting. AMIA (2020)
Maryam Zolnoori, Che Ngufor, Anthony Faiola, Christina Eldredge, Jake Luo, Sunghwan Sohn, Joyce E. Balls-Berry, Ahmad P. Tafti, Nilay D. Shah, Timothy B. Patrick
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA (2019)
Yanshan Wang, Sunghwan Sohn
Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. AMIA (2019)
Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
Natural language processing of radiology reports for identification of skeletal site-specific fractures. BMC Medical Informatics Decis. Mak. (3) (2019)
Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. J. Heal. Informatics Res. 3 (3) (2019)
Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu
Deep learning and alternative learning strategies for retrospective real-world clinical data. npj Digit. Medicine 2 (2019)
Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang
Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) (2019)
Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn
Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records. BIBM (2019)
Sungrim Moon, Vinod Kaggal, Sunghwan Sohn, Hongfang Liu, Rajeev Chaudhry, Adelaide M. Arruda-Olson
Adaptation of a Natural Language Processing Algorithm Following Implementation of a New Electronic Health Record. AMIA (2019)
Xin Zhou, Yanshan Wang, Sunghwan Sohn, Terry M. Therneau, Hongfang Liu, David S. Knopman
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. Int. J. Medical Informatics 130 (2019)
Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu
Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR (2019)
Andrew Wen, Sunyang Fu, Sungrim Moon, Mohamed El Wazir, Andrew Rosenbaum, Vinod C. Kaggal, Sijia Liu, Sunghwan Sohn, Hongfang Liu, Jungwei Fan
Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digit. Medicine 2 (2019)
Somaieh Goudarzvand, Jennifer L. St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Yugyung Lee, Sunghwan Sohn
Early temporal characteristics of elderly patient cognitive impairment in electronic health records. BMC Medical Informatics Decis. Mak. (4) (2019)
Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu
Clinical information extraction applications: A literature review. J. Biomed. Informatics 77 (2018)
Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction. CoRR (2018)
Naveed Afzal, Vishnu Priya Mallipeddi, Sunghwan Sohn, Hongfang Liu, Rajeev Chaudhry, Christopher Scott, Iftikhar J. Kullo, Adelaide M. Arruda-Olson
Natural language processing of clinical notes for identification of critical limb ischemia. Int. J. Medical Informatics 111 (2018)
Na Hong, Andrew Wen, Majid Rastegar-Mojarad, Sunghwan Sohn, Hongfang Liu, Guoqian Jiang
Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP. AMIA (2018)
Somaieh Goudarzvand, Jennifer St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Sunghwan Sohn
Analyzing Early Signals of Older Adult Cognitive Impairment in Electronic Health Records. BIBM (2018)
Sunghwan Sohn, Debra J. Jacobson, Chun Fan, Jennifer L. St. Sauver
Assessment of Patient Falls Identification from Electronic Health Records Using Code- and Text-Based Approaches. AMIA (2018)
Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. ICHI Workshops (2018)
Stephen T. Wu, Sijia Liu, Sunghwan Sohn, Sungrim Moon, Chung-Il Wi, Young J. Juhn, Hongfang Liu
Modeling asynchronous event sequences with RNNs. J. Biomed. Informatics 83 (2018)
Sijia Liu, Liwei Wang, Sunghwan Sohn, Liping Xia, Hongfang Liu
ARETA: A Corpus for Asthma Related Event Temporal Association. AMIA (2018)
Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu
Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. CoRR (2018)
Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn
Locally Generated Bayesian Network Prediction of Colorectal Surgical Site Infections. CRI (2017)
Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn
Prediction of Organ Space Colorectal Surgical Site Infections Using Prognostic Bayesian Networks. CRI (2017)
Majid Rastegar-Mojarad, Jenna K. Lovely, Joshua J. Pankratz, Sunghwan Sohn, Donna M. Ihrke, Amit Merchea, David W. Larson, Hongfang Liu
Using Unstructured Data to Identify Readmitted Patients. ICHI (2017)
Majid Rastegar-Mojarad, Sunghwan Sohn, Liwei Wang, Feichen Shen, Troy C. Bleeker, William A. Cliby, Hongfang Liu
Need of informatics in designing interoperable clinical registries. Int. J. Medical Informatics 108 (2017)
Naveed Afzal, Sunghwan Sohn, Christopher Scott, Hongfang Liu, Iftikhar J. Kullo, Adelaide M. Arruda-Olson
Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes. CRI (2017)
Sunghwan Sohn, Chung-Il Wi, Young J. Juhn, Hongfang Liu
Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians. MedInfo (2017)
Sunghwan Sohn, Young J. Juhn, Sungrim Moon, Chung-Il Wi, Katherine S. King, Euijung Ryu, Hongfang Liu
Bayesian Prediction of Asthma Exacerbation in Children. AMIA (2017)
Feichen Shen, Sunghwan Sohn, Majid Rastegar-Mojarad, Sijia Liu, Joshua J. Pankratz, Michael Hatton, Nancy Sowada, Om Shrestha, Shawna Shurson, Hongfang Liu
Populating Physician Biographical Pages Based on EMR Data. CRI (2017)
Stephen T. Wu, Yanshan Wang, Sunghwan Sohn, Chung-Il Wi, Elizabeth A. Krusemark, Hongfang Liu, Young J. Juhn
Probabilistic Population-level Modeling of Disease Event Timelines. AMIA (2016)
Stephen T. Wu, Chung-Il Wi, Sunghwan Sohn, Hongfang Liu, Young J. Juhn
Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. LREC (2016)
Naveed Afzal, Sunghwan Sohn, Sara Abram, Hongfang Liu, Iftikhar J. Kullo, Adelaide M. Arruda-Olson
Identifying peripheral arterial disease cases using natural language processing of clinical notes. BHI (2016)
Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu
Asthma Ascertainment NLP System Portability across Institutions. AMIA (2016)
Sunghwan Sohn, Young J. Juhn, Chung-Il Wi, Euijung Ryu, Hongfang Liu
Ascertaining Asthma Predictive Index through Natural Language Processing. CRI (2016)
Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu
Prediction of Colorectal Surgical Site Infections Using Risk Factors. AMIA (2015)
Feichen Shen, Hongfang Liu, Sunghwan Sohn, David W. Larson, Yugyung Lee
BmQGen: Biomedical query generator for knowledge discovery. BIBM (2015)
Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu
Detection of Colorectal Surgical Site Infections Using Bayesian Network and Natural Language Processing. AMIA (2015)
Dingcheng Li, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang, Saeed Mehrabi, Yue Yu, Sunghwan Sohn, Yanpeng Li, Naveed Afzal, Hongfang Liu
A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. BCB (2015)
Saeed Mehrabi, Anand Krishnan, Sunghwan Sohn, Alexandra M. Roch, Heidi Schmidt, Joe Kesterson, Chris Beesley, Paul R. Dexter, C. Max Schmidt, Hongfang Liu, Mathew J. Palakal
DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx. J. Biomed. Informatics 54 (2015)
Dingcheng Li, Majid Rastegar-Mojarad, Yanpeng Li, Sunghwan Sohn, Saeed Mehrabi, Ravikumar Komandur Elayavilli, Yue Yu, Hongfang Liu
A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing. MedInfo (2015)
Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver, Hongfang Liu, Mathew J. Palakal
Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. ICHI (2015)
Stephen T. Wu, Young J. Juhn, Sunghwan Sohn, Hongfang Liu
Research and applications: Patient-level temporal aggregation for text-based asthma status ascertainment. J. Am. Medical Informatics Assoc. 21 (5) (2014)
Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu
Research and applications: MedXN: an open source medication extraction and normalization tool for clinical text. J. Am. Medical Informatics Assoc. 21 (5) (2014)
Sunghwan Sohn, Hongfang Liu
Analysis of Medication and Indication Occurrences in Clinical Notes. AMIA (2014)
Sunghwan Sohn, Hongfang Liu
Exploration of Potential Drug Off-label Uses in Clinical Practice. AMIA (2014)
Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu
Clinical Drug Extraction and Normalization from Clinical Notes. AMIA (2013)
Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu
Medication Extraction and Normalization from Clinical Notes. AMIA (2013)
Hongfang Liu, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Sunghwan Sohn
Integrated cTAKES for Concept Mention Detection and Normalization. CLEF (Working Notes) (2013)
Sunghwan Sohn, Kavishwar B. Wagholikar, Dingcheng Li, Siddhartha Jonnalagadda, Cui Tao, Ravikumar Komandur Elayavilli, Hongfang Liu
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. J. Am. Medical Informatics Assoc. 20 (5) (2013)
Sunghwan Sohn, Sean P. Murphy, Siddhartha Jonnalagadda, Kavishwar B. Wagholikar, Stephen T. Wu, Christopher G. Chute, Hongfang Liu, Scott R. Halgrim
Systematic Analysis of Cross-Institutional Medication Description Patterns in Clinical Notes. HISB (2012)
Kavishwar B. Wagholikar, Sunghwan Sohn, Stephen T. Wu, Vinod Kaggal, Sheila Buehler, Robert A. Greenes, Tsung-Teh Wu, David W. Larson, Hongfang Liu, Rajeev Chaudhry, Lisa Boardman
Clinical Decision Support for Colonoscopy Surveillance Using Natural Language Processing. HISB (2012)
Suzette J. Bielinski, Jyotishman Pathak, Hongfang Liu, Sunghwan Sohn, Gail P. Jarvik, David Carrell, Naveen Pereira, Veronique Roger
Using Electronic Health Records to Identify Heart Failure Cohorts with Differentiation for Preserved and Reduced Ejection Fraction. AMIA (2012)
Hongfang Liu, Stephen T. Wu, Dingcheng Li, Siddhartha Jonnalagadda, Sunghwan Sohn, Kavishwar B. Wagholikar, Peter J. Haug, Stanley M. Huff, Christopher G. Chute
Towards a semantic lexicon for clinical natural language processing. AMIA (2012)
Siddhartha Jonnalagadda, Dingcheng Li, Sunghwan Sohn, Stephen Tze-Inn Wu, Kavishwar B. Wagholikar, Manabu Torii, Hongfang Liu
Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. J. Am. Medical Informatics Assoc. 19 (5) (2012)
Stephen T. Wu, Young J. Juhn, Sunghwan Sohn, Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Hongfang Liu
Asthma Status Identification with Natural Language Processing. AMIA (2012)
Stephen T. Wu, Kavishwar B. Wagholikar, Sunghwan Sohn, Vinod Kaggal, Hongfang Liu
Empirical Ontologies for Cohort Identification. TREC (2011)
Sunghwan Sohn, Jean-Pierre A. Kocher, Christopher G. Chute, Guergana K. Savova
Drug side effect extraction from clinical narratives of psychiatry and psychology patients. J. Am. Medical Informatics Assoc. 18 (Supplement) (2011)
Guergana K. Savova, James J. Masanz, Philip V. Ogren, Jiaping Zheng, Sunghwan Sohn, Karin Kipper Schuler, Christopher G. Chute
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J. Am. Medical Informatics Assoc. 17 (5) (2010)
Sunghwan Sohn, Guergana K. Savova
Mayo Clinic Smoking Status Classification System: Extensions and Improvements. AMIA (2009)
Jae Moung Kim, Sunghwan Sohn, Ning Han, Han Zheng, Young Min Kim, Joo-Kwan Lee
Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm. CrownCom (2008)

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Publication Activity (10 Years)

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Sunghwan Sohn