Arya Rahgozar

Arya Rahgozar

Scientist, Methodological and Implementation Research

Ottawa Hospital Research Institute

Bio

Arya Rahgozar is a scientist at OHRI and an adjunct Professor of Data Science at the School of Electrical Engineering and Computer Science and was a Postdoctoral Fellow at the School of Medicine, DFM, University of Ottawa. He received his Ph.D. in Digital Transformation and Innovation from the University of Ottawa, specializing in Natural Language Processing (NLP) under Prof. Diana Inkpen's supervision, specifically in multi-lingual semantic text classification, clustering and ontology learning. Arya got his master's from the University of Waterloo in Management Sciences, specialized in graph representations with temporal event predictions, NLP under Prof. Olga Vechtomova. Arya has over 20 years of decision science, analytics industrial experience and partnerships in banking, credit risk, marketing, healthcare and supply-chain, as an advanced analytics team leader and principal Data Scientist. Arya was a Mitacs PI and a start-up partner to develop Chat-bot Recommender system.

Research Goals and Interests

Dr. Rahgozar's interests are in applications of NLP, machine understanding, explainability of automatic recommendations in medicine and e-Healthcare.

Dr. Arya Rahgozar's research interest are in Data Science, applications of Natural Language Processing (NLP) and Machine Learning (ML) in healthcare and medicine. As part of computational phenotyping, Dr. Rahgozar develops and implements NLP and ML algorithms to automatically predict medical conditions such as dementia, frailty and osteoporosis and use the models to explain the latent patterns as part of larger systems such as conversational recommender (CRS) to assist primary care providers and patients. He used eConsult data for taxonomy predictions.


News


Publications

Peer Review of “Machine Learning Ensemble Identifies Distinct Age-Related Response to Spaceflight in Mammary Tissue (Preprint)”

2025-04-23 Go to publication

Peer Review of “Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance”

2025-03-19 Go to publication

Peer Review of “Towards Evaluating the Diagnostic Ability of LLMs (Preprint)”

2024-12-17 Go to publication

Inconsistency detection in cancer data classification using explainable-AI

2024-10-03 Go to publication

Role of Artificial Intelligence in Improving Syncope Management

2024-01-01

UOBMRI, Dementia Predictions in eConsult
Brain-Heart Interconnectome, Use of NLP in the development of Live Systematic Reviews

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