Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study - Baek, Sangwon; Jeong, Yeon joo; Kim, Yun-Hyeon; Kim, Jin Young; Kim, Jin Hwan; Kim, Eun Young; Lim, Jae-Kwang; Kim, Jungok; Kim, Zero; Kim, Kyunga; Chung, Myung Jin (Journal of medical Internet research, 2024)
Keywords: Algorithms; Analysis; Bias; Biological markers; Biomarkers; Blood cell count; C-reactive protein; Clinical medicine; Clustering; COVID-19; COVID-19 - diagnosis; Data collection; Diabetes; Discrimination; Dyspnea; Generalizability; Global health; Hospital Mortality; Hospital patients; Hospitalization; Hospitals; Humans; Intensive care; Laboratories; Leukocytes; Machine learning; Medical research; Medicine, Experimental; Methods; Missing data; Multimedia; Neural networks; Neural Networks, Computer; Oxygen; Pandemics; Patients; Polymerase chain reaction; Regression analysis; Republic of Korea; Resource allocation; Risk assessment; Robustness; Sampling; Saturation; Severe acute respiratory syndrome coronavirus 2; Severity; Support vector machines; Triage - methods; Ventilation; Republic of Korea; hospital admission; neural networks; emergency; early triaging; neural network; COVID-19; deep learning; SARS-CoV-2; Shapley; hospital admissions; interpretability; predict; triage; severity; SHAP; prediction model; hospitalization; biomarkers; predictive; coronavirus; biomarker; machine learning; prognosis; prognostic; triaging; hospitalize; prognostics; prediction; clustering; Omicron; hospitalizations