DOCLAB: A Technology-Driven Platform for Healthcare Accessibility, Prediction and Drug Recommendation
Year: 2025
Type: article
Abstract: ABSTRACT: The current healthcare ecosystem in many regions suffers from inefficiencies such as limited access, lack of early diagnosis, long waiting times, and fragmented services. Doclab is a digital healthcare platform designed to bridge these gaps by offering a comprehensive and user-friendly interface that integrates symptom-based disease prediction, personalized drug recommendations, and medicine delivery. Leveraging both classical machine learning (TF-IDF with Naive Bayes, Logistic Regression, SVM) and advanced deep learning techniques (BiLSTM with Attention), Doclab intelligently processes user input to assist patients in their healthcare journey. This paper details the methodologies, implementation strategies, algorithms used, and potential impact of Doclab, especially in underserved and rural regions, while also addressing data security and system scalability
DOI: 10.55041/ijsrem45860
Author: Sarthak Pokale
Institution: University of Mumbai
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4409837361