AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records

• Published in: JMIR medical informatics Vol. 8; no. 10; p. e21798
• Main Authors: Xie, Feng, Chakraborty, Bibhas, Ong, Marcus Eng Hock, Goldstein, Benjamin Alan, Liu, Nan
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 21.10.2020
• Subjects: Automation; Clinical decision making; Clinical medicine; Decision making; Decision trees; Electronic health records; Feature selection; Machine learning; Mortality; Original Paper; Variables; clinical decision making; electronic health records; machine learning; prognosis; clinical prediction rule

Risk scores can be useful in clinical risk stratification and accurate allocations of medical resources, helping health providers improve patient care. Point-based scores are more understandable and explainable than other complex models and are now widely used in clinical decision making. However, t...