Extracting Symptoms of Complex Conditions From Online Discourse (Subreddit to Symptomatology): Lexicon-Based Approach.

Bushra Hossain¹, Sarah M Preum^2,3, Md Fazle Rabbi⁴, Rifat Ara⁵, Mohammed Eunus Ali⁶

¹Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

²Department of Computer Science, Dartmouth College, Hanover, NH, United States.

³Department of Biomedical Data Science, Geisel School of Medicine, Hanover, NH, United States.

⁴Department of Computer Science and Engineering, Bangladesh University of Professionals, Dhaka, Bangladesh.

⁵Department of Obstetrics & Gynecology, Bangladesh College of Physicians and Surgeons, Dhaka, Bangladesh.

⁶Faculty of Information Technology, Monash University, Clayton, Australia.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Millions of people affected with complex medical conditions with diverse symptoms often turn to online discourse to share their experiences. While some studies have explored natural language processing methods and medical information extraction tools, these typically focus on generic symptoms in clinical notes and struggle to identify patient-reported, disease-specific, subtle symptoms…

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