Sunghwan Sohn - RankMe

111 papers A 1B 4Misc 24Journal 44Unranked 38

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Rise of Small Language Models in Healthcare: A Comprehensive Survey. CoRR Muskan Garg, Shaina Raza, Shebuti Rayana, Xingyi Liu, Sunghwan Sohn
2025	—	`conf`	Uncovering the Role of Neuropsychiatric Symptoms in Cognitive Impairment Progression. BIBM Eunji Jeon, Muskan Garg, Xingyi Liu, Maria Vassilaki, Jennifer St. Sauver, Ronald C. Petersen, Sunghwan Sohn
2024	J	`jnl`	A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 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
2024	—	`conf`	Causal Explanation from Mild Cognitive Impairment Progression using Graph Neural Networks. BIBM Arman Behnam, Muskan Garg, Xingyi Liu, Maria Vassilaki, Jennifer St. Sauver, Ronald C. Petersen, Sunghwan Sohn
2024	J	`jnl`	Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits. BMC Medical Informatics Decis. Mak. Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn
2024	J	`jnl`	FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. J. Biomed. Informatics 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
2024	J	`jnl`	Linear Frequency Modulation and Orthogonal Code Modulation for Co-Located Multiple-Input Multiple-Output High-Frequency Surface Wave Radar. Remote. Sens. Eunhee Kim, Sunghwan Sohn, Hyunwook Moon, Jun Hyeok Choi, Kiwon Lee
2024	J	`jnl`	MultiWD: Multi-label wellness dimensions in social media posts. J. Biomed. Informatics Muskan Garg, Xingyi Liu, MSVPJ Sathvik, Shaina Raza, Sunghwan Sohn
2024	A	`conf`	Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. ICWSM Muskan Garg, MSVPJ Sathvik, Shaina Raza, Amrit Chadha, Sunghwan Sohn
2024	J	`jnl`	Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text. CoRR Muskan Garg, MSVPJ Sathvik, Amrit Chadha, Shaina Raza, Sunghwan Sohn
2024	J	`jnl`	Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 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
2023	—	`conf`	Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. BioNLP@ACL Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn
2023	J	`jnl`	Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. CoRR Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn
2023	—	`conf`	CareD: Caregiver's Experience with Cognitive Decline in Reddit Posts. ICHI Muskan Garg, Sunghwan Sohn
2023	—	`conf`	Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering. MedInfo Omar A. Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St Sauver, Sunghwan Sohn
2023	—	`conf`	Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. BIBM Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn
2023	J	`jnl`	InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts. CoRR MSVPJ Sathvik, Surjodeep Sarkar, Chandni Saxena, Sunghwan Sohn, Muskan Garg
2023	J	`jnl`	LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts. CoRR Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
2023	B	`conf`	LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. SMC Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
2023	—	`conf`	Machine Learning Models for Prediction of Joint Infections Following Hip Replacement Surgery. BIBM Hilal Maradit Kremers, Sunghwan Sohn, Walter K. Kremers
2023	—	`conf`	Navigating Sex-Specific Disease Dynamics in Incident Dementia. BIBM Muskan Garg, Ronald C. Petersen, Xingyi Liu, Jennifer St. Sauver, Maria Vassilaki, Sunghwan Sohn
2022	J	`jnl`	A hybrid model to identify fall occurrence from electronic health records. Int. J. Medical Informatics 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
2022	J	`jnl`	A scoping review of medical practice variation research within the informatics literature. Int. J. Medical Informatics Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, J. Wilfred Fan
2022	J	`jnl`	Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J. Am. Medical Informatics Assoc. 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
2022	—	`conf`	Automated Detection of Type of Scoliosis Surgery from Operative Notes Using Natural Language Processing. ICHI Elham Sagheb, Taghi Ramazanian, A. Noelle Larson, Sunghwan Sohn, Hilal Maradit Kremers
2022	—	`conf`	Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification. ICHI Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Michelle M. Mielke, Jennifer St Sauver, Ronald C. Petersen, Sunghwan Sohn
2022	Misc	`conf`	Quality Assessment of Functional Status Documentation in EHR Across Institutions. AMIA Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Jennifer St. Sauver, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
2022	J	`jnl`	Quality assessment of functional status documentation in EHRs across different healthcare institutions. Frontiers Digit. Health 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
2022	Misc	`conf`	The role of individual-level socioeconomic status on bias of machine learning algorithm. AMIA Euijung Ryu, Katherine S. King, Sunghwan Sohn, Chung-Il Wi, Momin M. Malik, Richard R. Sharp, John D. Halamka, Young J. Juhn
2021	Misc	`conf`	A Scoping Review of Informatics Research for Clinical Practice Variation. AMIA Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, Jungwei Fan
2021	J	`jnl`	An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. J. Biomed. Informatics 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
2021	—	`conf`	Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. BIBM Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn
2021	J	`jnl`	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. Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu, Young J. Juhn
2021	Misc	`conf`	Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. AMIA 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
2021	J	`jnl`	Identification of asthma control factor in clinical notes using a hybrid deep learning model. BMC Medical Informatics Decis. Mak. Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn
2021	—	`conf`	Prediction of Incident Dementia Using Patient Temporal Health Status. MedInfo Sunyang Fu, Omar A. Ibrahim, Yanshan Wang, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn
2021	—	`conf`	The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records. MedInfo Sunyang Fu, Andrew Wen, Sandeep R. Pagali, Nansu Zong, Jennifer St Sauver, Sunghwan Sohn, Jungwei Fan, Hongfang Liu
2020	Misc	`conf`	Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting. AMIA Elham Sagheb, Jungwon Yoon, Chung-Il Wi, Pragya Shrestha, Euijung Ryu, Miguel Park, Barbara P. Yawn, Hongfang Liu, Young J. Juhn, Sunghwan Sohn
2020	J	`jnl`	Clinical concept extraction: A methodology review. J. Biomed. Informatics 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
2020	—	`conf`	Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes. BIBM Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn
2020	—	`conf`	DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael J. Taunton, Hilal Maradit Kremers, Ahmad P. Tafti
2019	J	`jnl`	A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics Decis. Mak. Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2019	Misc	`conf`	Adaptation of a Natural Language Processing Algorithm Following Implementation of a New Electronic Health Record. AMIA Sungrim Moon, Vinod Kaggal, Sunghwan Sohn, Hongfang Liu, Rajeev Chaudhry, Adelaide M. Arruda-Olson
2019	—	`conf`	Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang
2019	J	`jnl`	Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. Int. J. Medical Informatics Xin Zhou, Yanshan Wang, Sunghwan Sohn, Terry M. Therneau, Hongfang Liu, David S. Knopman
2019	—	`conf`	Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records. BIBM Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn
2019	J	`jnl`	Deep learning and alternative learning strategies for retrospective real-world clinical data. npj Digit. Medicine David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu
2019	J	`jnl`	Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digit. Medicine Andrew Wen, Sunyang Fu, Sungrim Moon, Mohamed El Wazir, Andrew Rosenbaum, Vinod C. Kaggal, Sijia Liu, Sunghwan Sohn, Hongfang Liu, Jungwei Fan
2019	J	`jnl`	Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. J. Heal. Informatics Res. Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn
2019	J	`jnl`	Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR 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
2019	J	`jnl`	Early temporal characteristics of elderly patient cognitive impairment in electronic health records. BMC Medical Informatics Decis. Mak. Somaieh Goudarzvand, Jennifer L. St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Yugyung Lee, Sunghwan Sohn
2019	Misc	`conf`	Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA 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
2019	J	`jnl`	Natural language processing of radiology reports for identification of skeletal site-specific fractures. BMC Medical Informatics Decis. Mak. Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2019	Misc	`conf`	Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. AMIA Yanshan Wang, Sunghwan Sohn
2018	J	`jnl`	A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction. CoRR Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2018	Misc	`conf`	ARETA: A Corpus for Asthma Related Event Temporal Association. AMIA Sijia Liu, Liwei Wang, Sunghwan Sohn, Liping Xia, Hongfang Liu
2018	—	`conf`	Analyzing Early Signals of Older Adult Cognitive Impairment in Electronic Health Records. BIBM Somaieh Goudarzvand, Jennifer St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Sunghwan Sohn
2018	Misc	`conf`	Assessment of Patient Falls Identification from Electronic Health Records Using Code- and Text-Based Approaches. AMIA Sunghwan Sohn, Debra J. Jacobson, Chun Fan, Jennifer L. St. Sauver
2018	—	`conf`	Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. ICHI Workshops Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2018	J	`jnl`	Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. J. Am. Medical Informatics Assoc. Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu
2018	J	`jnl`	Clinical information extraction applications: A literature review. J. Biomed. Informatics Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu
2018	J	`jnl`	Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. CoRR Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn
2018	J	`jnl`	Modeling asynchronous event sequences with RNNs. J. Biomed. Informatics Stephen T. Wu, Sijia Liu, Sunghwan Sohn, Sungrim Moon, Chung-Il Wi, Young J. Juhn, Hongfang Liu
2018	J	`jnl`	Natural language processing of clinical notes for identification of critical limb ischemia. Int. J. Medical Informatics Naveed Afzal, Vishnu Priya Mallipeddi, Sunghwan Sohn, Hongfang Liu, Rajeev Chaudhry, Christopher Scott, Iftikhar J. Kullo, Adelaide M. Arruda-Olson
2018	Misc	`conf`	Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP. AMIA Na Hong, Andrew Wen, Majid Rastegar-Mojarad, Sunghwan Sohn, Hongfang Liu, Guoqian Jiang
2017	—	`conf`	Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians. MedInfo Sunghwan Sohn, Chung-Il Wi, Young J. Juhn, Hongfang Liu
2017	Misc	`conf`	Bayesian Prediction of Asthma Exacerbation in Children. AMIA Sunghwan Sohn, Young J. Juhn, Sungrim Moon, Chung-Il Wi, Katherine S. King, Euijung Ryu, Hongfang Liu
2017	—	`conf`	Locally Generated Bayesian Network Prediction of Colorectal Surgical Site Infections. CRI Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn
2017	J	`jnl`	Need of informatics in designing interoperable clinical registries. Int. J. Medical Informatics Majid Rastegar-Mojarad, Sunghwan Sohn, Liwei Wang, Feichen Shen, Troy C. Bleeker, William A. Cliby, Hongfang Liu
2017	—	`conf`	Populating Physician Biographical Pages Based on EMR Data. CRI Feichen Shen, Sunghwan Sohn, Majid Rastegar-Mojarad, Sijia Liu, Joshua J. Pankratz, Michael Hatton, Nancy Sowada, Om Shrestha, Shawna Shurson, Hongfang Liu
2017	—	`conf`	Prediction of Organ Space Colorectal Surgical Site Infections Using Prognostic Bayesian Networks. CRI Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn
2017	—	`conf`	Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes. CRI Naveed Afzal, Sunghwan Sohn, Christopher Scott, Hongfang Liu, Iftikhar J. Kullo, Adelaide M. Arruda-Olson
2017	—	`conf`	Using Unstructured Data to Identify Readmitted Patients. ICHI Majid Rastegar-Mojarad, Jenna K. Lovely, Joshua J. Pankratz, Sunghwan Sohn, Donna M. Ihrke, Amit Merchea, David W. Larson, Hongfang Liu
2016	—	`conf`	Ascertaining Asthma Predictive Index through Natural Language Processing. CRI Sunghwan Sohn, Young J. Juhn, Chung-Il Wi, Euijung Ryu, Hongfang Liu
2016	Misc	`conf`	Asthma Ascertainment NLP System Portability across Institutions. AMIA Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu
2016	—	`conf`	Identifying peripheral arterial disease cases using natural language processing of clinical notes. BHI Naveed Afzal, Sunghwan Sohn, Sara Abram, Hongfang Liu, Iftikhar J. Kullo, Adelaide M. Arruda-Olson
2016	Misc	`conf`	Probabilistic Population-level Modeling of Disease Event Timelines. AMIA Stephen T. Wu, Yanshan Wang, Sunghwan Sohn, Chung-Il Wi, Elizabeth A. Krusemark, Hongfang Liu, Young J. Juhn
2016	B	`conf`	Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. LREC Stephen T. Wu, Chung-Il Wi, Sunghwan Sohn, Hongfang Liu, Young J. Juhn
2015	—	`conf`	A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing. MedInfo Dingcheng Li, Majid Rastegar-Mojarad, Yanpeng Li, Sunghwan Sohn, Saeed Mehrabi, Ravikumar Komandur Elayavilli, Yue Yu, Hongfang Liu
2015	—	`conf`	A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. BCB Dingcheng Li, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang, Saeed Mehrabi, Yue Yu, Sunghwan Sohn, Yanpeng Li, Naveed Afzal, Hongfang Liu
2015	—	`conf`	BmQGen: Biomedical query generator for knowledge discovery. BIBM Feichen Shen, Hongfang Liu, Sunghwan Sohn, David W. Larson, Yugyung Lee
2015	J	`jnl`	DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx. J. Biomed. Informatics Saeed Mehrabi, Anand Krishnan, Sunghwan Sohn, Alexandra M. Roch, Heidi Schmidt, Joe Kesterson, Chris Beesley, Paul Richard Dexter, C. Max Schmidt, Hongfang Liu, Mathew J. Palakal
2015	Misc	`conf`	Detection of Colorectal Surgical Site Infections Using Bayesian Network and Natural Language Processing. AMIA Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu
2015	Misc	`conf`	Prediction of Colorectal Surgical Site Infections Using Risk Factors. AMIA Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu
2015	—	`conf`	Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. ICHI Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver, Hongfang Liu, Mathew J. Palakal
2014	Misc	`conf`	Analysis of Medication and Indication Occurrences in Clinical Notes. AMIA Sunghwan Sohn, Hongfang Liu
2014	Misc	`conf`	Exploration of Potential Drug Off-label Uses in Clinical Practice. AMIA Sunghwan Sohn, Hongfang Liu
2014	J	`jnl`	Research and applications: MedXN: an open source medication extraction and normalization tool for clinical text. J. Am. Medical Informatics Assoc. Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu
2014	J	`jnl`	Research and applications: Patient-level temporal aggregation for text-based asthma status ascertainment. J. Am. Medical Informatics Assoc. Stephen T. Wu, Young J. Juhn, Sunghwan Sohn, Hongfang Liu
2013	Misc	`conf`	Clinical Drug Extraction and Normalization from Clinical Notes. AMIA Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu
2013	J	`jnl`	Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. J. Am. Medical Informatics Assoc. Sunghwan Sohn, Kavishwar B. Wagholikar, Dingcheng Li, Siddhartha Jonnalagadda, Cui Tao, Ravikumar Komandur Elayavilli, Hongfang Liu
2013	—	`conf`	Integrated cTAKES for Concept Mention Detection and Normalization. CLEF (Working Notes) Hongfang Liu, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Sunghwan Sohn
2013	Misc	`conf`	Medication Extraction and Normalization from Clinical Notes. AMIA Sunghwan Sohn, Cheryl Clark, Scott R. Halgrim, Sean P. Murphy, Christopher G. Chute, Hongfang Liu
2012	Misc	`conf`	Asthma Status Identification with Natural Language Processing. AMIA Stephen T. Wu, Young J. Juhn, Sunghwan Sohn, Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Hongfang Liu
2012	—	`conf`	Clinical Decision Support for Colonoscopy Surveillance Using Natural Language Processing. HISB 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
2012	J	`jnl`	Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. J. Am. Medical Informatics Assoc. Siddhartha Jonnalagadda, Dingcheng Li, Sunghwan Sohn, Stephen Tze-Inn Wu, Kavishwar B. Wagholikar, Manabu Torii, Hongfang Liu
2012	—	`conf`	Systematic Analysis of Cross-Institutional Medication Description Patterns in Clinical Notes. HISB Sunghwan Sohn, Sean P. Murphy, Siddhartha Jonnalagadda, Kavishwar B. Wagholikar, Stephen T. Wu, Christopher G. Chute, Hongfang Liu, Scott R. Halgrim
2012	Misc	`conf`	Towards a semantic lexicon for clinical natural language processing. AMIA Hongfang Liu, Stephen T. Wu, Dingcheng Li, Siddhartha Jonnalagadda, Sunghwan Sohn, Kavishwar B. Wagholikar, Peter J. Haug, Stanley M. Huff, Christopher G. Chute
2012	Misc	`conf`	Using Electronic Health Records to Identify Heart Failure Cohorts with Differentiation for Preserved and Reduced Ejection Fraction. AMIA Suzette J. Bielinski, Jyotishman Pathak, Hongfang Liu, Sunghwan Sohn, Gail P. Jarvik, David Carrell, Naveen Pereira, Véronique L. Roger
2011	J	`jnl`	Drug side effect extraction from clinical narratives of psychiatry and psychology patients. J. Am. Medical Informatics Assoc. Sunghwan Sohn, Jean-Pierre A. Kocher, Christopher G. Chute, Guergana K. Savova
2011	—	`conf`	Empirical Ontologies for Cohort Identification. TREC Stephen T. Wu, Kavishwar B. Wagholikar, Sunghwan Sohn, Vinod Kaggal, Hongfang Liu
2010	J	`jnl`	Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J. Am. Medical Informatics Assoc. Guergana K. Savova, James J. Masanz, Philip V. Ogren, Jiaping Zheng, Sunghwan Sohn, Karin Kipper Schuler, Christopher G. Chute
2009	Misc	`conf`	Mayo Clinic Smoking Status Classification System: Extensions and Improvements. AMIA Sunghwan Sohn, Guergana K. Savova
2008	J	`jnl`	Abbreviation definition identification based on automatic precision estimates. BMC Bioinform. Sunghwan Sohn, Donald C. Comeau, Won Kim, W. John Wilbur
2008	—	`conf`	Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm. CrownCom Jae Moung Kim, Sunghwan Sohn, Ning Han, Han Zheng, Young Min Kim, Joo-Kwan Lee
2008	J	`jnl`	Research Paper: Optimal Training Sets for Bayesian Prediction of MeSH J. Am. Medical Informatics Assoc. Sunghwan Sohn, Won Kim, Donald C. Comeau, W. John Wilbur
2007	—	`conf`	Enhanced Energy Detector for IEEE 802.22 WRAN Systems Using Maximal-to-Mean Power Ratio. ISWCS Guanbo Zheng, Ning Han, Xiaoge Huang, Sunghwan Sohn, Jae Moung Kim
2007	—	`conf`	OFDM Signal Sensing Method Based on Cyclostationary Detection. CrownCom Sunghwan Sohn, Ning Han, Jae Moung Kim, Jae-Wan Kim
2004	J	`jnl`	Ensemble of Evolving Neural Networks in Classification. Neural Process. Lett. Sunghwan Sohn, Cihan H. Dagli
2003	B	`conf`	Combining evolving neural network classifiers using bagging. IJCNN Sunghwan Sohn, Cihan H. Dagli
2001	B	`conf`	Soft counting networks for bone marrow differentials. SMC James M. Keller, Paul D. Gader, Sunghwan Sohn, Charles William Caldwell