165 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Veterans Health AdministrationUS3 papers
- Amherst CollegeUS2 papers
- The University of Texas Health Science Center at HoustonUS2 papers
- University of California, Los AngelesUS2 papers
- University of Massachusetts AmherstUS2 papers
- University of Massachusetts Chan Medical SchoolUS2 papers
- University of Massachusetts LowellUS2 papers
- Aix-Marseille UniversitéFR1 paper
- Boston UniversityUS1 paper
- Brown UniversityUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Centre de Résonance Magnétique Biologique et MédicaleFR1 paper
5 papers · 1 filter
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…
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…
Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python
Hannah Eyre, Alec B Chapman, Kelly S Peterson +6
Despite impressive success of machine learning algorithms in clinical natural language processing (cNLP), rule-based approaches still have a prominent role. In this paper, we intro…
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment
Frank Meng, Craig A. Morioka, Danne C. Elbers
Sequence alignments are used to capture patterns composed of elements representing multiple conceptual levels through the alignment of sequences that contain overlapping and variab…