Mualij: A Doctor-to-Doctor Information Sharing System with AI-based Heart Disease and Pneumonia Detection

Mualij is a doctor-to-doctor knowledge-sharing platform integrating AI-based heart disease and pneumonia prediction models. Developed as a Bachelor’s thesis at UET Lahore, the system enables doctors to collaborate, share insights, and receive predictive assistance using CNN-based architectures trained on real-world medical datasets.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-04
DOI
https://doi.org/10.5281/zenodo.15338039
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Mualij: A Doctor-to-Doctor Information Sharing System with AI-based Heart Disease and Pneumonia Detection

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Healthcare
article

Mualij: A Doctor-to-Doctor Information Sharing System with AI-based Heart Disease and Pneumonia Detection

article en

Abstract

Mualij is a doctor-to-doctor knowledge-sharing platform integrating AI-based heart disease and pneumonia prediction models. Developed as a Bachelor’s thesis at UET Lahore, the system enables doctors to collaborate, share insights, and receive predictive assistance using CNN-based architectures trained on real-world medical datasets.

Zenodo (CERN European Organization for Nuclear Research)
University of Engineering and Technology Lahore (PK)
Openalex Percentile: Top 75%
Machine Learning in Healthcare
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Mualij: A Doctor-to-Doctor Information Sharing System with AI-based Heart Disease and Pneumonia Detection · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS