Pivotal challenges in artificial intelligence and machine learning applications for neonatal care H Jeong, R Kamaleswaran Seminars in Fetal and Neonatal Medicine 27 (5), 101393, 2022 | 6 | 2022 |
Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients A Sikora, H Jeong, M Yu, X Chen, B Murray, R Kamaleswaran Scientific Reports 13 (1), 15562, 2023 | 5* | 2023 |
Addressing Wearable Sleep Tracking Inequity: A New Dataset and Novel Methods for a Population with Sleep Disorders WK Wang, J Yang, L Hershkovich, H Jeong, B Chen, K Singh, ... Conference on Health, Inference, and Learning, 380-396, 2024 | 1 | 2024 |
The Importance of Data Quality Control in Using Fitbit Device Data From the All of Us Research Program L Lederer, A Breton, H Jeong, H Master, AR Roghanizad, J Dunn JMIR mHealth and uHealth 11, e45103, 2023 | 1 | 2023 |
Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic J Dunn, V Mishra, MMH Shandhi, H Jeong, N Yamane, Y Wantanabe, ... arXiv preprint arXiv:2403.17165, 2024 | | 2024 |
Neurological Outcome Prediction After Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion B Chen, J Yang, KW Wang, H Jeong, P Ashar, L Hershkovich, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
Stepping Up for All of Us: Data from the All of Us Research Program Reinforces Existence of Activity Inequality in the United States J Dunn, H Jeong, A Roghanizad, H Master, J Kim, A Kouame, P Harris, ... | | 2023 |
A Comparison Between Sensitivity Analysis of Oxygenation Severity and Acute Respiratory Distress Syndrome (ARDS) of a Machine Learning Algorithm to Predict Hypoxic Respiratory … CE Marshall, S Narendrula, J Wang, JG De Souza Vale, H Jeong, ... A46. ECMO, ARDS, AND ACUTE RESPIRATORY FAILURE, A1697-A1697, 2023 | | 2023 |
A Machine Learning Algorithm to Predict Hypoxic Respiratory Failure and risk of Acute Respiratory Distress Syndrome (ARDS) by Utilizing Features Derived from Electrocardiogram … CE Marshall, S Narendrula, J Wang, JG De Souza Vale, H Jeong, ... medRxiv, 2022.11. 14.22282274, 2022 | | 2022 |