92 citations
- Veterans Health AdministrationUS3 papers
- Amherst CollegeUS2 papers
- The University of Texas Health Science Center at HoustonUS2 papers
- University of Massachusetts AmherstUS2 papers
- University of Massachusetts Chan Medical SchoolUS2 papers
- University of Massachusetts LowellUS2 papers
- Carnegie Mellon UniversityUS1 paper
- Georgia Institute of TechnologyUS1 paper
- Janssen (Belgium)BE1 paper
- Janssen (United States)US1 paper
- McGill UniversityCA1 paper
- Queensland University of TechnologyAU1 paper
7 papers
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal +10
We introduce Argoverse 2 (AV2) - a collection of three datasets for perception and forecasting research in the self-driving domain. The annotated Sensor Dataset contains 1,000 sequ…
Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans
Avijit Mitra, Richeek Pradhan, Rachel D Melamed +8
Importance: Social determinants of health (SDOH) are known to be associated with increased risk of suicidal behaviors, but few studies utilized SDOH from unstructured electronic he…
Automated Identification of Eviction Status from Electronic Health Record Notes
Zonghai Yao, Jack Tsai, Weisong Liu +4
Objective: Evictions are important social and behavioral determinants of health. Evictions are associated with a cascade of negative events that can lead to unemployment, housing i…
Massive Parallelization of Massive Sample-size Survival Analysis
Jianxiao Yang, Martijn J. Schuemie, Xiang Ji +1
Large-scale observational health databases are increasingly popular for conducting comparative effectiveness and safety studies of medical products. However, increasing number of p…
Estimation of Constrained Mean-Covariance of Normal Distributions
Anupam Kundu, Mohsen Pourahmadi
Estimation of the mean vector and covariance matrix is of central importance in the analysis of multivariate data. In the framework of generalized linear models, usually the varian…
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
An Yan, Zexue He, Xing Lu +5
Radiology report generation aims at generating descriptive text from radiology images automatically, which may present an opportunity to improve radiology reporting and interpretat…