Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31089
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYahaya Mohammed Sani, Yahaya Ibitoye Emmanuel Olarewaju and Mamman Adamu-
dc.date.accessioned2026-05-12T22:11:06Z-
dc.date.available2026-05-12T22:11:06Z-
dc.date.issued2019-12-
dc.identifier.issn2320-9151-
dc.identifier.urihttp://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31089-
dc.description.abstractAndroid-Based Mobile Text-to-Speech enabled malaria diagnosis system is a research work that is focused on the design and im plementation of a text-to-speech enabled medical diagnosis sys tem that is capable of reading out diagnosis process and report to the user of the system in English text/speech or its translation from English to Hausa, Igbo and Yoruba speeches depending on the language option selected by the user. This research is targeted at solving the problem of communication barrier that exist amongst patients who do not have a good understanding of Eng lish language experienced when they visit hospital to get diag nosed and treatment for malaria by a doctor or medical expert. The system was developed with the following: Android studio and Java programming language for the development of the application, NetBeans and Java programming language was used to build the communication between the system and the server that host the knowledge base of the disease symptoms that is capable of translating and reading out the diagnosis process and report to the user and the database was implemented with MYSQL.. The implemented system will help to overcome the communication barriers between doctors and the patients who do not have good understanding of English language pass through when they go to see a doctor for medical diagnosis and attention and thereby help in reducing the scourge of Malaria in Nigeria.en_US
dc.description.sponsorshipSelf-Sponsoren_US
dc.publisherIEEE-SEMen_US
dc.subjectText-to-Speech, Android, Symptoms, Diagnosis, Doctor, Patient, Knowledge Baseen_US
dc.titleAndroid-Based Mobile Text-to-Speech Enabled Malaria Diagnosis Systemen_US
dc.typeArticleen_US
Appears in Collections:Information and Media Technology

Files in This Item:
File Description SizeFormat 
Android_Based_Mobile_Text_to_Speech_Enabled_Malaria_Diagnosis_System.pdf1.04 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.