A decision support system for symptom-based common diseases and image-based skin diseases detection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Joy, Moinul Alam
অন্যান্য লেখক: Alam, Md. Golam Rabiul
বিন্যাস: গবেষণাপত্র
ভাষা:English
প্রকাশিত: Brac University 2021
বিষয়গুলি:
অনলাইন ব্যবহার করুন:http://hdl.handle.net/10361/15629
id 10361-15629
record_format dspace
spelling 10361-156292022-01-26T10:13:18Z A decision support system for symptom-based common diseases and image-based skin diseases detection Joy, Moinul Alam Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Disease prediction Support vector machine Skin disease MobileNet Collaborative ltering Android application Machine learning Application software--Development Mobile computing This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 51-52). Nowadays, it has become di cult to get in touch with a doctor for the current pandemic situation. Patients need to wait several days to get an appointment from the doctor and visiting the hospitals in recent times is also very risky. So, The main purpose of this application is to give a patient the basic treatment by given his symptoms so that he/she can receive medical services in home. This project focuses on two portions of disease detection. One portion is for common diseases and another one is for skin diseases. We have used di erent training algorithm for both portions of disease detection. An online API has been used along with machine learning library like tensor ow to produce the results. This mobile application not only shows the probability of the diseases, but also gives information about the cure or solutions. Mohammad Moinul Alam Joy B. Computer Science 2021-11-21T06:12:35Z 2021-11-21T06:12:35Z 2021 2021-05 Thesis ID 19166022 http://hdl.handle.net/10361/15629 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 52 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Disease prediction
Support vector machine
Skin disease
MobileNet
Collaborative ltering
Android application
Machine learning
Application software--Development
Mobile computing
spellingShingle Disease prediction
Support vector machine
Skin disease
MobileNet
Collaborative ltering
Android application
Machine learning
Application software--Development
Mobile computing
Joy, Moinul Alam
A decision support system for symptom-based common diseases and image-based skin diseases detection
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
author2 Alam, Md. Golam Rabiul
author_facet Alam, Md. Golam Rabiul
Joy, Moinul Alam
format Thesis
author Joy, Moinul Alam
author_sort Joy, Moinul Alam
title A decision support system for symptom-based common diseases and image-based skin diseases detection
title_short A decision support system for symptom-based common diseases and image-based skin diseases detection
title_full A decision support system for symptom-based common diseases and image-based skin diseases detection
title_fullStr A decision support system for symptom-based common diseases and image-based skin diseases detection
title_full_unstemmed A decision support system for symptom-based common diseases and image-based skin diseases detection
title_sort decision support system for symptom-based common diseases and image-based skin diseases detection
publisher Brac University
publishDate 2021
url http://hdl.handle.net/10361/15629
work_keys_str_mv AT joymoinulalam adecisionsupportsystemforsymptombasedcommondiseasesandimagebasedskindiseasesdetection
AT joymoinulalam decisionsupportsystemforsymptombasedcommondiseasesandimagebasedskindiseasesdetection
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