Background: Buprenorphine and methadone are effective medications for opioid use disorder (OUD) but remain underused, particularly when specialists are not leading care decisions. Objective: We developed a predictive model to guide treatmen…
We conducted formal analyses of a scoring system for a contraception decision aid to support transgender and gender-nonconforming (TGNC) assigned female at birth (AFAB) individuals. For this purpose, we developed a methodology framework to …
Lack of knowledge in highly efficient contraceptive methods led to low rates of adoption and misuse of these methods by young women. The existing online tools for contraceptive decisions have flaws. To address this critical need, we develop…
Rare diseases, although individually rare, collectively affect one in ten Americans. Because of their rarity, patients with rare diseases are typically left misdiagnosed or undiagnosed, which leads to a prolonged medical journey. The diagno…
Medical records, which are increasingly directly accessible to patients, contain highly technical terms unfamiliar to many patients. A federally qualified health center (FQHC) sought to help patients interpret their records by embedding con…
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as su…
ObjectiveThis paper investigates several methods for aligning Metathesaurus relationships with their counterparts in the UMLS Semantic Network. Unlike the categorization link defined between Metathesaurus concepts and Semantic Network types…
The U.S. National Institutes of Health, through its National Library of Medicine, developed ClinicalTrials.gov to provide the public with easy access to information on clinical trials on a wide range of conditions or diseases. Only English …