Eugene M Sadhu's research while affiliated with University of Pittsburgh and other places

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Publications (4)

Figure 1. Data-to-Knowledge-to-Action Workflow for Translating SDoH...
Figure 3. PRISMA 2020 Flow Diagram.
Figure 4. UpSet Plot of NLP for SDoH Algorithms ~EHR Integration
Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions
Preprint
Full-text available
  • Feb 2024
Background Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality. Methods We searched PubMed using keywords "SDOH" and "EHR", underwent title/abstract and full-text screening. Included record...
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Figure 1. Sharephe plugin displaying phenotypes in the cloud-based...
Sharing and Reusing Computable Phenotype Definitions
Preprint
Full-text available
  • Sep 2023
Background A scalable approach for the sharing and reuse of human-readable and computer-executable phenotype definitions can facilitate the reuse of electronic health records for cohort identification and research studies. Description We developed a tool called Sharephe for the Informatics for Integrating Biology and the Bedside (i2b2) platform. Sh...
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Summary of medications with race-based guidelines.
Clinical Algorithms with Race: An Online Database
Preprint
Full-text available
  • Jul 2023
Some clinical algorithms incorporate a person's race, ethnicity, or both as an input variable or predictor in determining diagnoses, prognoses, treatment plans, or risk assessments. Inappropriate use of race and ethnicity in clinical algorithms at the point of care may exacerbate health disparities and promote harmful practices of race-based medici...
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Next Generation Biorepository Informatics: Supporting Genomics, Imaging, and Innovations in Spatial Biology
Chapter
  • Jun 2023
The past three decades catapulted biorepositories and their informatics innovation to the forefront of Precision Medicine and particularly Precision Oncology. The National Institute of Health (NIH)‘s programs, particularly the All of Us Research Program and the Biden Cancer Moonshot initiatives, have been key enablers. The importance of biospecimen...
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Citations

... Recent LLMs have shown great potential in generative applications especially its superior zero-and few-shot performance [30,32,33,[68][69][70][71][72][73]. Despite this, the generated content can be unfaithful, inconsistent and biased [23,[74][75][76][77][78]. We plan to thoroughly evaluate LLMs and extend to Ascle in the future, ensuring that their application truly benefits biomedical researchers and healthcare professionals. ...
Reference: Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation (Preprint)
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