Data Science | Machine Learning | Obstetrics Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data. February 16, 2024
Data Science | Health economics | Health Services Research Using machine-learning algorithms to improve imputation in the Medical Expenditure Panel Survey. December 10, 2022
Computer Science | Radiology A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images. September 26, 2022
Computer Science | Pulmonology | Radiology Proposing a novel multi-instance learning model for tuberculosis recognition from chest X-ray images based on CNNs, complex networks and stacked ensemble. February 22, 2021
Neurology | Radiology Classifying MRI motion severity using a stacked ensemble approach. November 5, 2020
Radiology Modality-specific deep learning model ensembles toward improving TB detection in chest radiographs. April 7, 2020