Dermatology Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence. August 26, 2023
Other Feature flow regularization: Improving structured sparsity in deep neural networks. February 23, 2023
Neurology | Radiology MRF-Net: A multi-branch residual fusion network for fast and accurate whole-brain MRI segmentation. September 29, 2022
Biomedical Informatics | Medical Informatics Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning. September 15, 2021
Health Informatics | Machine Learning in Healthcare Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. May 21, 2021
Medical Informatics | Pharmacovigilance Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning. March 1, 2021
Epidemiology | Infectious Diseases | Public Health Identifying influential neighbors in social networks and venue affiliations among young MSM: A data science approach to predict HIV infection. December 11, 2020
Biomedical Informatics | Health Informatics | Informatics Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies. September 15, 2020
Artificial Intelligence | Internal Medicine | Pulmonology Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study. August 3, 2020
Medical Physics | Radiation Oncology A novel deep learning model using dosimetric and clinical information for grade 4 radiotherapy-induced lymphopenia prediction. December 18, 2019
Clinical NLP | Internal Medicine | Neurology Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text. December 5, 2019
Medical Informatics Deep learning in clinical natural language processing: a methodical review. December 3, 2019