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Rate of electronic health record adoption in South Korea: A nation-wide survey.

, , , , , , and . Int. J. Medical Informatics, (2017)

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Hyperosmolar therapy response in traumatic brain injury: Explainable artificial intelligence based long-term time series forecasting approach., , , , , , , , and . Expert Syst. Appl., (2024)I am a "Smart" watch, Smart Enough to Know the Accuracy of My Own Heart Rate Sensor., , , , , and . HotMobile, page 49-54. ACM, (2017)Motion-oriented noisy physiological signal refining using embedded sensing platforms., , , , , and . EMBC, page 4562-4565. IEEE, (2017)Glasses for the Third Eye: Improving the Quality of Clinical Data Analysis with Motion Sensor-based Data Filtering., , , , , , , and . SenSys, page 8:1-8:14. ACM, (2017)Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (4): 1903-1913 (April 2023)Constructing an Open-Access Bio-Signal Repository from Intensive Care Units., , , , , , , and . MedInfo, volume 245 of Studies in Health Technology and Informatics, page 1271. IOS Press, (2017)Differentially co-expressed interacting protein pairs discriminate samples under distinct stages of HIV type 1 infection., , , , and . BMC Syst. Biol., 5 (S-2): S1 (2011)Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia., , , , , , , , and . Frontiers Neuroinformatics, (2022)Constructing a Bio-Signal Repository from an Intensive Care Unit for Effective Big-data Analysis: Poster Abstract., , , , , , and . SenSys, page 372-373. ACM, (2016)Machine Learning with Clinical and Intraoperative Biosignal Data for Predicting Cardiac Surgery-Associated Acute Kidney Injury., , , , and . MIE, volume 316 of Studies in Health Technology and Informatics, page 286-290. IOS Press, (2024)