TOWARDS INTELLIGENT HEALTHCARE: CONCEPTUAL DEVELOPMENT OF A PREDICTIVE DIAGNOSTIC SYSTEM FOR MALARIA AND ASTHMA
This paper conceptualizes computer solution to the diagnosis and treatment of Malaria and Asthma diseases. The choice of these two diseases is because they are common and most widely spread in our locality. The open problems are addressed and a perspective for the realization of automated diagnosis of malaria and asthma is provided. To examine the existing system, the Structured System Analysis and Design (SSADM) methodology was employed. The p urpose of the design was to build a new system that will solve the problem of the existing system. Hence, the programming language used for the design of this work is Visual basic 6.0 for the frontend and MS Access for the backend database because of enhan ce interaction and friendliness. The solution designed will provide diagnostic support, the efficiency of alternative therapeutic schemes and promote better patient care by enhancing collaboration between physicians and pharmacists. The medical diagnostic system developed no doubt would enhance medical practice within the medical profession when adopted and implemented.
Institutions
- Delta State Polytechnic Ogwashi-Uku (NG)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-04
- DOI
- https://doi.org/10.5281/zenodo.17522113
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00