iCure : Development of an android medical application for symptoms checking and treatment reminder with medical dictionary / by Fia Jannica S. Asuncion and Kim Paolo D. Croox.
Material type:
TextLanguage: English Publication details: Indang, Cavite : 2018. Cavite State University- Main Campus,Description: ix, 105 pages : illustrations ; 28 cmContent type: - text
- unmediated
- volume
- 005.1 As9 2018
- College of Engineering and Information Technology (CEIT)
| Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
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Theses / Manuscripts
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Ladislao N. Diwa Memorial Library Theses Section | Non-fiction | 005.1 As9 2018 (Browse shelf(Opens below)) | Link to resource | Room use only | T-7961 | 00017858 |
Thesis (Bachelor of Science in Information Technology) Cavite State University
Includes bibliographical references.
College of Engineering and Information Technology (CEIT)
ASUNCION, FIA JANNICA S. and CROOX, KIM PAOLO D. iCure: Development of an Android Medical Application for Symptoms Checking and Treatment Reminder for Medical Dictionary. Undergraduate Thesis. Bachelor of Science in Information Technology. Cavite State University, Indang, Cavite. January 2018. Adviser: Ms. Aiza E. Bihis
The study was conducted to develop an Android Medical Application for Symptoms Checking and Treatment Reminder with Medical Dictionary to help, guide, and give people different information about common diseases and, generic and branded drugs.
The android application was composed of five (5) modules: medical dictionary, symptoms checking, treatment reminder, about, and help. Medical Dictionary module displayed list of two different types of drugs namely: generic and branded, and also displayed information such as other names, description, side effects, indications, salient features, dosage, precautions, contraindications, and food and drug interactions. It also set a reminder for each drugs by clicking the bell button. Symptoms checking module displayed list of common diseases and showed information such as description, symptoms, causes, and preventions. Treatment Reminder module displayed list of drugs that has been set for reminder. About module displayed brief information about the application and its developers. Lastly, the Help module displayed information such as description and functions of each modules.
The methodology used by the researchers was the Feature Driven Development (FDD) methodology. It was consisted of five (5) phases: develop an overall model, build a features list, plan by feature and design, and build by feature. The results were tabulated, analyzed, and statistically treated using mean and standard deviation. Based on the results, all the criteria in the evaluation met all features, requirements, and attained its objectives.
The researchers conducted an evaluation to 110 participants, one hundred (100) respondents were general public and ten IT experts to determine the acceptability level based on software quality attributes. The system was evaluated through the following criteria: functionality, reliability, usability, efficiency, maintainability, and portability using the scale: 5 — excellent, 4 — very good, 3 — good, 2 — fair, 1 — poor.
In accordance to the results of the software evaluation, large number of respondents rated the system "Excellent" which showed that the objectives and requirements of the system were met.
Submitted copy to the University Library. 07/02/2018 T-7961