Farzana Islam Adiba

Farzana Islam Adiba,

Graduate Assistant

Department: Pharmaceutical Outcomes & Policy
Business Phone: (405) 894-9790
Business Email: fadiba@ufl.edu

Research Profile

My research is focusing on machine learning and natural language processing techniques to process unstructured clinical text data in the healthcare sector. Specifically, I aim to develop predictive models for health outcomes, such as classifying depression, mortality risk, etc. Identifying patterns and trends, such as social determinants of health(SDoH) in electronic health records and other clinical documents will impact the improvement in the healthcare domain.

Open Researcher and Contributor ID (ORCID)

0000-0002-1407-9405

Areas of Interest
  • AI Applications in Healthcare
  • Clinical Natural Language Processing
  • Machine Learning

Publications

2023
A Natural Language Processing Algorithm for Classifying Suicidal Behaviors in Alzheimer’s Disease and Related Dementia Patients: Development and Validation Using Electronic Health Records Data.
medRxiv : the preprint server for health sciences. [DOI] 10.1101/2023.07.21.23292976. [PMID] 37546764.
2023
Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes.
Journal of the American Medical Informatics Association : JAMIA. 30(8):1418-1428 [DOI] 10.1093/jamia/ocad080. [PMID] 37178155.
2022
Machine Learning Models to Analyze the Effect of Drugs on Neonatal-ICU Length of Stay
Applied Intelligence and Informatics. 186-204 [DOI] 10.1007/978-3-031-24801-6_14.
2021
Multivariate Time Series Prediction of Pediatric ICU data using Deep Learning
2021 International Conference on Innovative Trends in Information Technology (ICITIIT). [DOI] 10.1109/icitiit51526.2021.9399593.

Education

M.Sc in Computer Science and Engineering(CSE)
2021 · Jahangirnagar University, Dhaka, Bangladesh
BSc in Computer Science and Engineering(CSE)
2019 · Jahangirnagar University, Dhaka, Bangladesh

Contact Details

Phones:
Business:
(405) 894-9790
Emails:
Business:
fadiba@ufl.edu
Addresses:
Business Street:
Dept of Pharmaceutical Outcomes & Policy, Floor 6
1889 Museum Road
Gainesville FL 32611