Sunghwan Sohn is affiliated with the Mayo Clinic in the United States and conducts research primarily in the field of Medicine. Their scholarly work spans several specialized subfields, including Artificial Intelligence, Physiology, Pulmonary and Respiratory Medicine, Surgery, and Public Health, Environmental and Occupational Health.
Their research focuses on a range of topics related to healthcare and biomedical informatics. Key areas include Asthma and respiratory diseases, Machine Learning in Healthcare, Topic Modeling, Dementia and Cognitive Impairment Research, Mental Health via Writing, Chronic Obstructive Pulmonary Disease (COPD) Research, and Intensive Care Unit Cognitive Disorders.
Sunghwan Sohn has contributed to scientific knowledge through publications in various journals. Some of the recent notable papers are:
Frequent co-authors in their collaborations include:
Their publications often appear in venues such as:
Guergana K Savova;James J Masanz;Philip V Ogren;Jiaping Zheng
Yanshan Wang;Liwei Wang;Majid Rastegar-Mojarad;Sungrim Moon
Yanshan Wang;Sunghwan Sohn;Sijia Liu;Feichen Shen
David Chen;Sijia Liu;Paul Kingsbury;Sunghwan Sohn
Hongfang Liu;Suzette J Bielinski;Sunghwan Sohn;Sean Murphy
Sunyang Fu;Sunyang Fu;David Chen;Huan He;Sijia Liu
Jyotishman D Pathak;Kent R Bailey;Calvin E. Beebe;Steven Bethard
Saeed Mehrabi;Saeed Mehrabi;Anand Krishnan;Sunghwan Sohn;Alexandra M. Roch
Andrew Wen;Sunyang Fu;Sungrim Moon;Mohamed El Wazir
Sunghwan Sohn;Donald C Comeau;Won Kim;W John Wilbur
Sunghwan Sohn;Jean Pierre A. Kocher;Christopher G. Chute;Guergana K. Savova
Naveed Afzal;Sunghwan Sohn;Sara Abram;Christopher G. Scott
Sunghwan Sohn;Cheryl Clark;Scott R Halgrim;Sean P Murphy
Naveed Afzal;Vishnu Priya Mallipeddi;Sunghwan Sohn;Hongfang Liu
Hana Zouk;Eric Venner;Niall J. Lennon;Donna M. Muzny
Stephen T. Wu;Sunghwan Sohn;K. E. Ravikumar;Kavishwar Wagholikar
Chung Il Wi;Sunghwan Sohn;Mary C. Rolfes;Alicia Seabright
Vinod C. Kaggal;Ravikumar Komandur Elayavilli;Saeed Mehrabi;Joshua J. Pankratz
Sunghwan Sohn;Guergana K. Savova
Harsheen Kaur;Harsheen Kaur;Sunghwan Sohn;Chung Il Wi;Euijung Ryu
Sunghwan Sohn;Yanshan Wang;Chung Il Wi;Elizabeth A. Krusemark
Saaed Mehrabi;Sunghwan Sohn;Dingheng Li;Joshua J. Pankratz
Sunghwan Sohn;Kavishwar B Wagholikar;Dingcheng Li;Siddhartha R Jonnalagadda
If you think any of the details on this page are incorrect, let us know.
Exploring online degree options in Computer Science unlocks flexibility and diverse career opportunities. For those looking to study quickly, the fastest online master's degree programs can help you earn credentials in less time, often without sacrificing educational quality.
Choosing the right program is crucial. Review the best masters degree to get if you seek high demand and career advancement in tech fields. Many students also start their journey with an online associate's degree in Computer Science to gain foundational skills before transferring or entering the workforce.
If affordability is a priority, consider programs listed among cheap online degrees fast. These options can lower financial barriers and help you launch a tech career without long-term debt. With flexible online study, it’s easier than ever to chart a personalized path to success in Computer Science and related fields.
Catalan Institution for Research and Advanced Studies
University of Michigan–Ann Arbor
European Bioinformatics Institute
Civil Aviation Authority of Singapore
Beth Israel Deaconess Medical Center
Harvard University
Lawrence Berkeley National Laboratory
Trent University
Max Planck Society
University of Kansas
Cardiff University
Rutgers, The State University of New Jersey
University of Würzburg
Harvard University
Humboldt-Universität zu Berlin
University of Buenos Aires
