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.

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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
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article

TOWARDS INTELLIGENT HEALTHCARE: CONCEPTUAL DEVELOPMENT OF A PREDICTIVE DIAGNOSTIC SYSTEM FOR MALARIA AND ASTHMA

Zenodo (CERN European Organization for Nuclear Research)
Digital Imaging for Blood Diseases
article

TOWARDS INTELLIGENT HEALTHCARE: CONCEPTUAL DEVELOPMENT OF A PREDICTIVE DIAGNOSTIC SYSTEM FOR MALARIA AND ASTHMA

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Delta State Polytechnic Ogwashi-Uku (NG)
Openalex Percentile: Top 42%
Digital Imaging for Blood Diseases
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