Predicting outcomes in older ED patients with influenza in real time using a big data-driven and machine learning approach to the hospital information system

Can Artificial Intelligence Improve the Management of Pneumonia

(2020) Mariana Chumbita et al.   Journal of Clinical Medicine

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

(2020) Pouyan Esmaeilzadeh   BMC Medical Informatics and Decision Making

Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China

(2019) Yumiao Wang et al.   International Journal of Environmental Research and Public Health

Geriatric influenza death (GID) score: a new tool for predicting mortality in older people with influenza in the emergency department

(2018) Jui-Yuan Chung et al.   Scientific Reports

The Electronic Medical Record: Beauty and the Beast

(2018) Joseph S. Alpert   AMERICAN JOURNAL OF MEDICINE

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach

(2016) R. Andrew Taylor et al.   ACADEMIC EMERGENCY MEDICINE

Computer-Aided Lung Nodule Recognition by SVM Classifier Based on Combination of Random Undersampling and SMOTE

(2015) Yuan Sui et al.   Computational and Mathematical Methods in Medicine

External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination

(2015) George C.M. Siontis et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection

(2014) Nan Liu et al.   BMC Medical Informatics and Decision Making

Predicting disease risks from highly imbalanced data using random forest

(2011) Mohammed Khalilia et al.   BMC Medical Informatics and Decision Making

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery

(2008) L.M. Taft et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Validation, updating and impact of clinical prediction rules: A review

(2008) D.B. Toll et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY