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Health care: and android based expert system for common diseases / by Neil Edward S. Alcala, Marc Elvin D. Cerezo and Ryan Jay O. Culvera.

By:

Alcala, Neil Edward S [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2019.Description: xiv, 102 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

006.3 Al1 2019

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

College of Engineering and Information Technology (CEIT), Department of Information Technology

Abstract: ALCALA, NEIL EDWARD S., CEREZO, MARC ELVIN D., AND CULVERA, RYAN JAY 0., Health Care: An Android Based Expert System for Common Diseases. Undergraduate Thesis Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. June 2019. Adviser: Ms. Ria Clarisse L. Mojica. The study that was conducted from May 2018 to June 2019 was done to aid people in assessing his or her likeliness of having some common diseases such as: pneumonia, common cold, influenza, asthma, hypertension, and diabetes with its complications through assessment of symptoms through an Android application. The application also provides information about the said common diseases, and recommended remedies to prevent or reduce the likeliness of having these kinds of diseases. The researchers used iterative development as a guideline on the development of the mobile application. Python, Android Studio, and Firebase were used to build the app, and a module called pyknon was used as an algorithm for the implementation of the expert system. 45 participants were given software evaluation to evaluate the system based on its functionality, reliability, usability, portability, maintainability, efficiency, and helpfulness. The overall mean for obtained from the evaluation was 4.65 which is Excellent. This implies that the study has met the expected features of the intended users, as well as the approval of the technical specialists.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	006.3 Al1 2019 (Browse shelf(Opens below))		Link to resource	Room use only	T-8646		00081091

Thesis (Bachelor of Science in Computer Science) Cavite State University.

Includes bibliographical references.

College of Engineering and Information Technology (CEIT), Department of Information Technology

ALCALA, NEIL EDWARD S., CEREZO, MARC ELVIN D., AND CULVERA, RYAN JAY 0., Health Care: An Android Based Expert System for Common Diseases. Undergraduate Thesis Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. June 2019. Adviser: Ms. Ria Clarisse L. Mojica.
The study that was conducted from May 2018 to June 2019 was done to aid people in assessing his or her likeliness of having some common diseases such as: pneumonia, common cold, influenza, asthma, hypertension, and diabetes with its complications through assessment of symptoms through an Android application. The application also provides information about the said common diseases, and recommended remedies to prevent or reduce the likeliness of having these kinds of diseases.
The researchers used iterative development as a guideline on the development of the mobile application. Python, Android Studio, and Firebase were used to build the app, and a module called pyknon was used as an algorithm for the implementation of the expert system. 45 participants were given software evaluation to evaluate the system based on its functionality, reliability, usability, portability, maintainability, efficiency, and helpfulness.
The overall mean for obtained from the evaluation was 4.65 which is Excellent. This implies that the study has met the expected features of the intended users, as well as the approval of the technical specialists.

Submitted to the University Library 10/01/2019 T-8646