Health Plus Monitoring Hub

The healthcare industry is evolving rapidly with machine learning (ML) to improve disease prediction, patient management, and telemedicine services. Despite these advancements, existing healthcare systems often suffer from fragmentation, requiring patients to navigate multiple platforms for diagnosis, doctor consultations, and treatment recommendations. This paper presents the Health Plus Monitoring Hub, a unified healthcare platform that leverages ML algorithms to analyze symptoms, predict diseases with confidence scores, and recommend appropriate doctors and healthcare facilities based on user location. The system integrates secure communication channels, appointment scheduling, and real-time feedback mechanisms to enhance usability and efficiency. By incorporating ML-driven automation, our platform reduces the time required for disease diagnosis and treatment while improving healthcare accessibility and affordability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-05
DOI
https://doi.org/10.5281/zenodo.15152537
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Health Plus Monitoring Hub

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

Health Plus Monitoring Hub

article en

Abstract

The healthcare industry is evolving rapidly with machine learning (ML) to improve disease prediction, patient management, and telemedicine services. Despite these advancements, existing healthcare systems often suffer from fragmentation, requiring patients to navigate multiple platforms for diagnosis, doctor consultations, and treatment recommendations. This paper presents the Health Plus Monitoring Hub, a unified healthcare platform that leverages ML algorithms to analyze symptoms, predict diseases with confidence scores, and recommend appropriate doctors and healthcare facilities based on user location. The system integrates secure communication channels, appointment scheduling, and real-time feedback mechanisms to enhance usability and efficiency. By incorporating ML-driven automation, our platform reduces the time required for disease diagnosis and treatment while improving healthcare accessibility and affordability.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Machine Learning in Healthcare
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