Muhammad U. Piracha

ORCID: 0009-0005-5626-2178
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About
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Research Areas
  • Ethics in Clinical Research
  • Alcoholism and Thiamine Deficiency
  • Substance Abuse Treatment and Outcomes
  • Artificial Intelligence in Healthcare and Education
  • Healthcare cost, quality, practices
  • Alcohol Consumption and Health Effects

University at Buffalo, State University of New York
2024

Artificial intelligence models represented in machine learning algorithms are promising tools for risk assessment used to guide clinical and other health care decisions. Machine algorithms, however, may house biases that propagate stereotypes, inequities, discrimination contribute socioeconomic disparities. The include those related some sociodemographic characteristics such as race, ethnicity, gender, age, insurance, status from the use of erroneous electronic record data. Additionally,...

10.3390/life14060652 article EN cc-by Life 2024-05-21

The use of electronic health records has expanded in the past decades, with healthcare entities storing terabytes patient data. In this study, we investigated how these databases can be utilized to generate clinically relevant information. We used Office Addiction Services and Supports Client Data Systems data merged NYS Medicaid Warehouse study relationship certain antidepressants on alcohol withdrawal (AW) rates patients dependence (AD). found that AD, bupropion was associated a...

10.3233/shti240399 article EN cc-by-nc Studies in health technology and informatics 2024-08-22
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