Laberiano Andrade-Arenas
Universidad de Ciencias y Humanidades

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

Intelligent preliminary diagnosis system for diseases with similar clinical presentation Laberiano Andrade-Arenas; Cesar Yactayo-Arias
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 2: May 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i2.pp1131-1143

Abstract

Accurately identifying diseases with similar symptoms, especially in resource-limited medical settings, is a key challenge to diagnostic accuracy. This paper presents a preliminary diagnostic system to address the challenge of diagnosing diseases with similar symptoms. The system has been implemented using the PyQt5 library and employs a unique symptom identification algorithm developed in Python. Furthermore, to carry out the diagnosis, it uses comma-separated values (CSV) and excel files as databases where the diseases and their respective symptoms are stored. The results show that the system has a precision of 95%, a sensitivity of 90%, and a specificity of 93% after evaluating 35 clinical cases covering seven diseases with similar initial symptoms, namely: dengue, zika, chikungunya, COVID-19, influenza, monkey-pox, and the common cold. Furthermore, the positive evaluation of the technical performance of the system by experts supports its practical feasibility and its potential as a valuable tool in medical practice. In conclusion, the system diagnoses diseases by analyzing the symptoms of the information file, highlighting its usefulness in improving the diagnostic accuracy of similar cases and optimizing medical care for the benefit of patients.
Mobile design for medical care and minor emergencies applying telemedicine Misael Lazo-Amado; Laberiano Andrade-Arenas
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 3: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i3.pp1889-1902

Abstract

The large number of patients today in hospitals or clinics shows a total collapse in the medical areas, this is reflected by the lack of available specialists and the saturation of appointments to attend patients, taking minutes and hours to get to be attended, that is why it is proposed as an objective to design a mobile application for medical care and minor emergencies applying telemedicine offering the main processes of appointment registration, video calls, medical qualification, first aid, prescription management, and emergency calls. This mobile application is made with the Design Thinking methodology that will allow the team to find the main problems or risks of the patient and find a quick solution based on design. The results give response to the 150 patients showing their satisfaction of the proposed solution, also validation by experts is performed indicating a 97% acceptance and specialist doctors indicate satisfaction, accepting that the system is efficient. In conclusion, the applied objective is shown, finding the main problems and looking for quick solutions showing efficiency and satisfaction by patients, experts, and medical specialists.