Soft counting networks for bone marrow differentials. - James M. Keller; Paul D. Gader; Sunghwan Sohn; Charles William Caldwell (SMC, 2001)

Combining evolving neural network classifiers using bagging. - Sunghwan Sohn; Cihan H. Dagli (IJCNN, 2003)

Ensemble of Evolving Neural Networks in Classification. - Sunghwan Sohn; Cihan H. Dagli (Neural Process. Lett., 2004)

OFDM Signal Sensing Method Based on Cyclostationary Detection. - Sunghwan Sohn; Ning Han; Jae Moung Kim; Jae-Wan Kim (CrownCom, 2007)

Enhanced Energy Detector for IEEE 802.22 WRAN Systems Using Maximal-to-Mean Power Ratio. - Guanbo Zheng; Ning Han; Xiaoge Huang; Sunghwan Sohn; Jae Moung Kim (ISWCS, 2007)

Cognitive Radio Software Testbed using Dual Optimization in Genetic Algorithm. - Jae Moung Kim; Sunghwan Sohn; Ning Han; Han Zheng; Young Min Kim; Joo-Kwan Lee (CrownCom, 2008)

Abbreviation definition identification based on automatic precision estimates. - Sunghwan Sohn; Donald C. Comeau; Won Kim 003; W. John Wilbur (BMC Bioinform., 2008)

Research Paper: Optimal Training Sets for Bayesian Prediction of MeSH® Assignment. - Sunghwan Sohn; Won Kim 003; Donald C. Comeau; W. John Wilbur (J. Am. Medical Informatics Assoc., 2008)

Mayo Clinic Smoking Status Classification System: Extensions and Improvements. - Sunghwan Sohn; Guergana K. Savova (AMIA, 2009)

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. - Guergana K. Savova; James J. Masanz; Philip V. Ogren; Jiaping Zheng; Sunghwan Sohn; Karin Kipper Schuler; Christopher G. Chute (J. Am. Medical Informatics Assoc., 2010)

Empirical Ontologies for Cohort Identification. - Stephen T. Wu; Kavishwar B. Wagholikar; Sunghwan Sohn; Vinod Kaggal; Hongfang Liu (TREC, 2011)

Drug side effect extraction from clinical narratives of psychiatry and psychology patients. - Sunghwan Sohn; Jean-Pierre A. Kocher; Christopher G. Chute; Guergana K. Savova (J. Am. Medical Informatics Assoc., 2011)

Using Electronic Health Records to Identify Heart Failure Cohorts with Differentiation for Preserved and Reduced Ejection Fraction. - Suzette J. Bielinski; Jyotishman Pathak; Hongfang Liu; Sunghwan Sohn; Gail P. Jarvik; David Carrell; Naveen Pereira; Véronique L. Roger (AMIA, 2012)

Towards a semantic lexicon for clinical natural language processing. - Hongfang Liu; Stephen T. Wu; Dingcheng Li; Siddhartha Jonnalagadda; Sunghwan Sohn; Kavishwar B. Wagholikar; Peter J. Haug; Stanley M. Huff; Christopher G. Chute (AMIA, 2012)

Asthma Status Identification with Natural Language Processing. - Stephen T. Wu; Young J. Juhn; Sunghwan Sohn; Ravikumar Komandur Elayavilli; Kavishwar B. Wagholikar; Siddhartha Jonnalagadda; Hongfang Liu (AMIA, 2012)

Systematic Analysis of Cross-Institutional Medication Description Patterns in Clinical Notes. - Sunghwan Sohn; Sean P. Murphy; Siddhartha Jonnalagadda; Kavishwar B. Wagholikar; Stephen T. Wu; Christopher G. Chute; Hongfang Liu; Scott R. Halgrim (HISB, 2012)

Clinical Decision Support for Colonoscopy Surveillance Using Natural Language Processing. - 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 (HISB, 2012)

Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. - Siddhartha Jonnalagadda; Dingcheng Li; Sunghwan Sohn; Stephen Tze-Inn Wu; Kavishwar B. Wagholikar; Manabu Torii; Hongfang Liu (J. Am. Medical Informatics Assoc., 2012)

Medication Extraction and Normalization from Clinical Notes. - Sunghwan Sohn; Cheryl Clark; Scott R. Halgrim; Sean P. Murphy; Christopher G. Chute; Hongfang Liu (AMIA, 2013)

Clinical Drug Extraction and Normalization from Clinical Notes. - Sunghwan Sohn; Cheryl Clark; Scott R. Halgrim; Sean P. Murphy; Christopher G. Chute; Hongfang Liu (AMIA, 2013)

Integrated cTAKES for Concept Mention Detection and Normalization. - Hongfang Liu; Kavishwar B. Wagholikar; Siddhartha Jonnalagadda; Sunghwan Sohn (CLEF (Working Notes), 2013)

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. - Sunghwan Sohn; Kavishwar B. Wagholikar; Dingcheng Li; Siddhartha Jonnalagadda; Cui Tao; Ravikumar Komandur Elayavilli; Hongfang Liu (J. Am. Medical Informatics Assoc., 2013)

Analysis of Medication and Indication Occurrences in Clinical Notes. - Sunghwan Sohn; Hongfang Liu (AMIA, 2014)

Exploration of Potential Drug Off-label Uses in Clinical Practice. - Sunghwan Sohn; Hongfang Liu (AMIA, 2014)

Research and applications: MedXN: an open source medication extraction and normalization tool for clinical text. - Sunghwan Sohn; Cheryl Clark; Scott R. Halgrim; Sean P. Murphy; Christopher G. Chute; Hongfang Liu (J. Am. Medical Informatics Assoc., 2014)

Research and applications: Patient-level temporal aggregation for text-based asthma status ascertainment. - Stephen T. Wu; Young J. Juhn; Sunghwan Sohn; Hongfang Liu (J. Am. Medical Informatics Assoc., 2014)

Detection of Colorectal Surgical Site Infections Using Bayesian Network and Natural Language Processing. - Sunghwan Sohn; Majid Rastegar-Mojarad; James M. Naessens; Elizabeth B. Habermann; David W. Larson; Hongfang Liu (AMIA, 2015)

Prediction of Colorectal Surgical Site Infections Using Risk Factors. - Sunghwan Sohn; Majid Rastegar-Mojarad; James M. Naessens; Elizabeth B. Habermann; David W. Larson; Hongfang Liu (AMIA, 2015)

A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. - Dingcheng Li; Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Yanshan Wang; Saeed Mehrabi 003; Yue Yu; Sunghwan Sohn; Yanpeng Li; Naveed Afzal; Hongfang Liu (BCB, 2015)

BmQGen: Biomedical query generator for knowledge discovery. - Feichen Shen; Hongfang Liu; Sunghwan Sohn; David W. Larson; Yugyung Lee (BIBM, 2015)

Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. - Saeed Mehrabi 003; Sunghwan Sohn; Dingcheng Li; Joshua J. Pankratz; Terry M. Therneau; Jennifer L. St. Sauver; Hongfang Liu; Mathew J. Palakal (ICHI, 2015)

A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing. - Dingcheng Li; Majid Rastegar-Mojarad; Yanpeng Li; Sunghwan Sohn; Saeed Mehrabi 003; Ravikumar Komandur Elayavilli; Yue Yu; Hongfang Liu (MedInfo, 2015)

DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx. - Saeed Mehrabi 003; Anand Krishnan; Sunghwan Sohn; Alexandra M. Roch; Heidi Schmidt; Joe Kesterson; Chris Beesley; Paul R. Dexter; C. Max Schmidt; Hongfang Liu; Mathew J. Palakal (J. Biomed. Informatics, 2015)

Asthma Ascertainment NLP System Portability across Institutions. - Sunghwan Sohn; Yanshan Wang; Chung-Il Wi; Elizabeth A. Krusemark; Euijung Ryu; Mir H. Ali; Young J. Juhn; Hongfang Liu (AMIA, 2016)

Probabilistic Population-level Modeling of Disease Event Timelines. - Stephen T. Wu; Yanshan Wang; Sunghwan Sohn; Chung-Il Wi; Elizabeth A. Krusemark; Hongfang Liu; Young J. Juhn (AMIA, 2016)

Identifying peripheral arterial disease cases using natural language processing of clinical notes. - Naveed Afzal; Sunghwan Sohn; Sara Abram; Hongfang Liu; Iftikhar J. Kullo; Adelaide M. Arruda-Olson (BHI, 2016)

Ascertaining Asthma Predictive Index through Natural Language Processing. - Sunghwan Sohn; Young J. Juhn; Chung-Il Wi; Euijung Ryu; Hongfang Liu (CRI, 2016)

Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. - Stephen T. Wu; Chung-Il Wi; Sunghwan Sohn; Hongfang Liu; Young J. Juhn (LREC, 2016)

Bayesian Prediction of Asthma Exacerbation in Children. - Sunghwan Sohn; Young J. Juhn; Sungrim Moon; Chung-Il Wi; Katherine S. King; Euijung Ryu; Hongfang Liu (AMIA, 2017)

Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes. - Naveed Afzal; Sunghwan Sohn; Christopher Scott; Hongfang Liu; Iftikhar J. Kullo; Adelaide M. Arruda-Olson (CRI, 2017)

Populating Physician Biographical Pages Based on EMR Data. - Feichen Shen; Sunghwan Sohn; Majid Rastegar-Mojarad; Sijia Liu 002; Joshua J. Pankratz; Michael Hatton; Nancy Sowada; Om Shrestha; Shawna Shurson; Hongfang Liu (CRI, 2017)

Prediction of Organ Space Colorectal Surgical Site Infections Using Prognostic Bayesian Networks. - Yangmei Zhou; David W. Larson; Elizabeth B. Habermann; James M. Naessens; Hongfang Liu; Sunghwan Sohn (CRI, 2017)

Locally Generated Bayesian Network Prediction of Colorectal Surgical Site Infections. - Yangmei Zhou; David W. Larson; Elizabeth B. Habermann; James M. Naessens; Hongfang Liu; Sunghwan Sohn (CRI, 2017)

Using Unstructured Data to Identify Readmitted Patients. - Majid Rastegar-Mojarad; Jenna K. Lovely; Joshua J. Pankratz; Sunghwan Sohn; Donna M. Ihrke; Amit Merchea; David W. Larson; Hongfang Liu (ICHI, 2017)

Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians. - Sunghwan Sohn; Chung-Il Wi; Young J. Juhn; Hongfang Liu (MedInfo, 2017)

Need of informatics in designing interoperable clinical registries. - Majid Rastegar-Mojarad; Sunghwan Sohn; Liwei Wang 010; Feichen Shen; Troy C. Bleeker; William A. Cliby; Hongfang Liu (Int. J. Medical Informatics, 2017)

ARETA: A Corpus for Asthma Related Event Temporal Association. - Sijia Liu 002; Liwei Wang 010; Sunghwan Sohn; Liping Xia; Hongfang Liu (AMIA, 2018)

Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP. - Na Hong; Andrew Wen; Majid Rastegar-Mojarad; Sunghwan Sohn; Hongfang Liu; Guoqian Jiang (AMIA, 2018)

Assessment of Patient Falls Identification from Electronic Health Records Using Code- and Text-Based Approaches. - Sunghwan Sohn; Debra J. Jacobson; Chun Fan; Jennifer L. St. Sauver (AMIA, 2018)

Analyzing Early Signals of Older Adult Cognitive Impairment in Electronic Health Records. - Somaieh Goudarzvand; Jennifer St. Sauver; Michelle M. Mielke; Paul Y. Takahashi; Sunghwan Sohn (BIBM, 2018)

Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. - Yanshan Wang; Saeed Mehrabi 003; Sunghwan Sohn; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (ICHI Workshops, 2018)

A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction. - Yanshan Wang; Sunghwan Sohn; Sijia Liu 002; Feichen Shen; Liwei Wang 010; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (CoRR, 2018)

Natural language processing of clinical notes for identification of critical limb ischemia. - Naveed Afzal; Vishnu Priya Mallipeddi; Sunghwan Sohn; Hongfang Liu; Rajeev Chaudhry; Christopher Scott; Iftikhar J. Kullo; Adelaide M. Arruda-Olson (Int. J. Medical Informatics, 2018)

Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. - Sunghwan Sohn; Yanshan Wang; Chung-Il Wi; Elizabeth A. Krusemark; Euijung Ryu; Mir H. Ali; Young J. Juhn; Hongfang Liu (J. Am. Medical Informatics Assoc., 2018)

Clinical information extraction applications: A literature review. - Yanshan Wang; Liwei Wang 010; Majid Rastegar-Mojarad; Sungrim Moon; Feichen Shen; Naveed Afzal; Sijia Liu 002; Yuqun Zeng; Saeed Mehrabi 003; Sunghwan Sohn; Hongfang Liu (J. Biomed. Informatics, 2018)

Modeling asynchronous event sequences with RNNs. - Stephen T. Wu; Sijia Liu 002; Sunghwan Sohn; Sungrim Moon; Chung-Il Wi; Young J. Juhn; Hongfang Liu (J. Biomed. Informatics, 2018)

Adaptation of a Natural Language Processing Algorithm Following Implementation of a New Electronic Health Record. - Sungrim Moon; Vinod Kaggal; Sunghwan Sohn; Hongfang Liu; Rajeev Chaudhry; Adelaide M. Arruda-Olson (AMIA, 2019)

Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. - Yanshan Wang; Sunghwan Sohn (AMIA, 2019)

Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. - 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 (AMIA, 2019)

Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records. - Sajjad Fouladvand; Michelle M. Mielke; Maria Vassilaki; Jennifer L. St. Sauver; Ronald C. Petersen; Sunghwan Sohn (BIBM, 2019)

Applications of Natural Language Processing in Clinical Research and Practice. - Yanshan Wang; Ahmad P. Tafti; Sunghwan Sohn; Rui Zhang (NAACL-HLT (Tutorial Abstracts), 2019)

Development of Clinical Concept Extraction Applications: A Methodology Review. - Sunyang Fu; David Chen 003; Sijia Liu 002; Sungrim Moon; Kevin J. Peterson; Feichen Shen; Yanshan Wang; Liwei Wang 010; Andrew Wen; Yiqing Zhao; Sunghwan Sohn; Hongfang Liu (CoRR, 2019)

Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. - Xin Zhou; Yanshan Wang; Sunghwan Sohn; Terry M. Therneau; Hongfang Liu; David S. Knopman (Int. J. Medical Informatics, 2019)

Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. - Feichen Shen; David W. Larson; James M. Naessens; Elizabeth B. Habermann; Hongfang Liu; Sunghwan Sohn (J. Heal. Informatics Res., 2019)

Early temporal characteristics of elderly patient cognitive impairment in electronic health records. - Somaieh Goudarzvand; Jennifer L. St. Sauver; Michelle M. Mielke; Paul Y. Takahashi; Yugyung Lee; Sunghwan Sohn (BMC Medical Informatics Decis. Mak., 2019)

Natural language processing of radiology reports for identification of skeletal site-specific fractures. - Yanshan Wang; Saeed Mehrabi 003; Sunghwan Sohn; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

A clinical text classification paradigm using weak supervision and deep representation. - Yanshan Wang; Sunghwan Sohn; Sijia Liu 002; Feichen Shen; Liwei Wang 010; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

Deep learning and alternative learning strategies for retrospective real-world clinical data. - David Chen 003; Sijia Liu 002; Paul R. Kingsbury; Sunghwan Sohn; Curtis B. Storlie; Elizabeth B. Habermann; James M. Naessens; David W. Larson; Hongfang Liu (npj Digit. Medicine, 2019)

Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. - Andrew Wen; Sunyang Fu; Sungrim Moon; Mohamed El Wazir; Andrew Rosenbaum; Vinod C. Kaggal; Sijia Liu 002; Sunghwan Sohn; Hongfang Liu; Jungwei Fan 001 (npj Digit. Medicine, 2019)

Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting. - Elham Sagheb; Jungwon Yoon; Chung-Il Wi; Pragya Shrestha; Euijung Ryu; Miguel Park; Barbara P. Yawn; Hongfang Liu; Young J. Juhn; Sunghwan Sohn (AMIA, 2020)

Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes. - Bhavani Singh Agnikula Kshatriya; Elham Sagheb; Chung-Il Wi; Jungwon Yoon; Hee Yun Seol; Young J. Juhn; Sunghwan Sohn (BIBM, 2020)

DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. - 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 (ISVC (2), 2020)

Clinical concept extraction: A methodology review. - Sunyang Fu; David Chen 003; Huan He; Sijia Liu 002; Sungrim Moon; Kevin J. Peterson; Feichen Shen; Liwei Wang 010; Yanshan Wang; Andrew Wen; Yiqing Zhao; Sunghwan Sohn; et al. (J. Biomed. Informatics, 2020)

Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. - 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 020; Todd Lingren; et al. (AMIA, 2021)

A Scoping Review of Informatics Research for Clinical Practice Variation. - Sunghwan Sohn; Sungrim Moon; Larry J. Prokop; Victor M. Montori; Jungwei Fan 001 (AMIA, 2021)

Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. - Omar A. Ibrahim; Sunyang Fu; Maria Vassilaki; Ronald C. Petersen; Michelle M. Mielke; Jennifer St Sauver; Sunghwan Sohn (BIBM, 2021)

Prediction of Incident Dementia Using Patient Temporal Health Status. - Sunyang Fu; Omar A. Ibrahim; Yanshan Wang; Maria Vassilaki; Ronald C. Petersen; Michelle M. Mielke; Jennifer St Sauver; Sunghwan Sohn (MedInfo, 2021)

The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records. - Sunyang Fu; Andrew Wen; Sandeep R. Pagali; Nansu Zong; Jennifer St Sauver; Sunghwan Sohn; Jungwei Fan 001; Hongfang Liu (MedInfo, 2021)

An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. - Andrew Wen; Liwei Wang 010; Huan He; Sijia Liu 002; Sunyang Fu; Sunghwan Sohn; Jacob A. Kugel; Vinod C. Kaggal; Ming Huang 006; Yanshan Wang; Feichen Shen; Jungwei Fan 001; et al. (J. Biomed. Informatics, 2021)

Identification of asthma control factor in clinical notes using a hybrid deep learning model. - Bhavani Singh Agnikula Kshatriya; Elham Sagheb; Chung-Il Wi; Jungwon Yoon; Hee Yun Seol; Young J. Juhn; Sunghwan Sohn (BMC Medical Informatics Decis. Mak., 2021)

Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique. - Jungwon Yoon; Heather Billings; Chung-Il Wi; Elissa Hall; Sunghwan Sohn; Jung Hyun Kwon; Euijung Ryu; Pragya Shrestha; Hongfang Liu; Young J. Juhn (BMC Medical Informatics Decis. Mak., 2021)

Quality Assessment of Functional Status Documentation in EHR Across Institutions. - Sunyang Fu; Maria Vassilaki; Omar A. Ibrahim; Ronald C. Petersen; Jennifer St. Sauver; Liwei Wang 010; Jungwei Fan 001; Hongfang Liu; Sunghwan Sohn (AMIA, 2022)

The role of individual-level socioeconomic status on bias of machine learning algorithm. - Euijung Ryu; Katherine S. King; Sunghwan Sohn; Chung-Il Wi; Momin M. Malik; Richard R. Sharp; John D. Halamka; Young J. Juhn (AMIA, 2022)

Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification. - Omar A. Ibrahim; Sunyang Fu; Maria Vassilaki; Michelle M. Mielke; Jennifer St Sauver; Ronald C. Petersen; Sunghwan Sohn (ICHI, 2022)

Automated Detection of Type of Scoliosis Surgery from Operative Notes Using Natural Language Processing. - Elham Sagheb; Taghi Ramazanian; A. Noelle Larson; Sunghwan Sohn; Hilal Maradit Kremers (ICHI, 2022)

Quality assessment of functional status documentation in EHRs across different healthcare institutions. - Sunyang Fu; Maria Vassilaki; Omar A. Ibrahim; Ronald C. Petersen; Sandeep R. Pagali; Jennifer St Sauver; Sungrim Moon; Liwei Wang 010; Jungwei Fan 001; Hongfang Liu; Sunghwan Sohn (Frontiers Digit. Health, 2022)

A hybrid model to identify fall occurrence from electronic health records. - 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 (Int. J. Medical Informatics, 2022)

A scoping review of medical practice variation research within the informatics literature. - Sunghwan Sohn; Sungrim Moon; Larry J. Prokop; Victor M. Montori; J. Wilfred Fan (Int. J. Medical Informatics, 2022)

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. - 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 (J. Am. Medical Informatics Assoc., 2022)

Navigating Sex-Specific Disease Dynamics in Incident Dementia. - Muskan Garg; Ronald C. Petersen; Xingyi Liu; Jennifer St. Sauver; Maria Vassilaki; Sunghwan Sohn (BIBM, 2023)

Machine Learning Models for Prediction of Joint Infections Following Hip Replacement Surgery. - Hilal Maradit Kremers; Sunghwan Sohn; Walter K. Kremers (BIBM, 2023)

Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. - Ziming Liu; Muskan Garg; Sunyang Fu; Surjodeep Sarkar; Maria Vassilaki; Ronald C. Petersen; Jennifer St. Sauver; Sunghwan Sohn (BIBM, 2023)

Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. - Chandreen Liyanage; Muskan Garg; Vijay Mago; Sunghwan Sohn (BioNLP@ACL, 2023)

CareD: Caregiver's Experience with Cognitive Decline in Reddit Posts. - Muskan Garg; Sunghwan Sohn (ICHI, 2023)

Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering. - Omar A. Ibrahim; Muskan Garg; Sunyang Fu; Maria Vassilaki; Ronald C. Petersen; Jennifer St Sauver; Sunghwan Sohn (MedInfo, 2023)

LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. - Muskan Garg; Manas Gaur; Raxit Goswami; Sunghwan Sohn (SMC, 2023)

InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts. - MSVPJ Sathvik; Surjodeep Sarkar; Chandni Saxena; Sunghwan Sohn; Muskan Garg (CoRR, 2023)

Causal Explanation from Mild Cognitive Impairment Progression using Graph Neural Networks. - Arman Behnam; Muskan Garg; Xingyi Liu; Maria Vassilaki; Jennifer St. Sauver; Ronald C. Petersen; Sunghwan Sohn (BIBM, 2024)

Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. - Muskan Garg; MSVPJ Sathvik; Shaina Raza; Amrit Chadha; Sunghwan Sohn (ICWSM, 2024)

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. - Shaika Chowdhury; Yongbin Chen; Pengyang Li; Sivaraman Rajaganapathy; Andrew Wen; Xiao Ma 019; Qiying Dai; Yue Yu; Sunyang Fu; Xiaoqian Jiang; Zhe He 001; Sunghwan Sohn; et al. (J. Am. Medical Informatics Assoc., 2024)

A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. - Sunyang Fu; Liwei Wang 010; Huan He; Andrew Wen; Nansu Zong; Anamika Kumari; Feifan Liu; Sicheng Zhou; Rui Zhang 028; Chenyu Li; Yanshan Wang; Jennifer St Sauver; et al. (J. Am. Medical Informatics Assoc., 2024)

FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. - Sunyang Fu; Heling Jia; Maria Vassilaki; Vipina Kuttichi Keloth; Yifang Dang; Yujia Zhou 003; Muskan Garg; Ronald C. Petersen; Jennifer St Sauver; Sungrim Moon; Liwei Wang 010; Andrew Wen; et al. (J. Biomed. Informatics, 2024)

MultiWD: Multi-label wellness dimensions in social media posts. - Muskan Garg; Xingyi Liu; MSVPJ Sathvik; Shaina Raza; Sunghwan Sohn (J. Biomed. Informatics, 2024)

Linear Frequency Modulation and Orthogonal Code Modulation for Co-Located Multiple-Input Multiple-Output High-Frequency Surface Wave Radar. - Eunhee Kim; Sunghwan Sohn; Hyunwook Moon; Jun Hyeok Choi; Kiwon Lee (Remote. Sens., 2024)

Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits. - Muskan Garg; Sara Hejazi; Sunyang Fu; Maria Vassilaki; Ronald C. Petersen; Jennifer St. Sauver; Sunghwan Sohn (BMC Medical Informatics Decis. Mak., 2024)

The Rise of Small Language Models in Healthcare: A Comprehensive Survey. - Muskan Garg; Shaina Raza; Shebuti Rayana; Xingyi Liu; Sunghwan Sohn (CoRR, 2025)