Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografische gegevens
Hoofdauteurs:	Orchi, Irin Hoque, Prarthona, Sabrina Tajrin, Tabassum, Nafisa, Hossain, Jaeemul, Ishti, Iftekhar Alam
Andere auteurs:	Sadeq, Farig Yousuf
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	Sentimental analysis Psychological support Cancer patient SBERT RNN GRU LSTM Few shots Emotional valence Machine learning Natural language processing (Computer science) Artificial intelligence
Online toegang:	http://hdl.handle.net/10361/22043

id	10361-22043
record_format	dspace
spelling	10361-220432023-12-31T21:02:36Z Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers Orchi, Irin Hoque Prarthona, Sabrina Tajrin Tabassum, Nafisa Hossain, Jaeemul Ishti, Iftekhar Alam Sadeq, Farig Yousuf Department of Computer Science and Engineering, Brac University Sentimental analysis Psychological support Cancer patient SBERT RNN GRU LSTM Few shots Emotional valence Machine learning Natural language processing (Computer science) Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 33-34). Throughout the world, millions of people and their families are impacted by the serious illness of cancer. The total number of new cancer cases worldwide in 2020 was predicted to reach 18.1 million. Serious emotional disorders, like depression, are often present in cancer patients due to many factors, including the intensity of certain situations, the negative consequences of their long treatment, or the deaths of other cancer patients. Therefore, keeping an eye on the patient’s moods is crucial to their ongoing treatment. Many cancer patients use online social media sites such as Facebook and Twitter to communicate their thoughts and emotions about their treatments, as well as the difficulties associated with them, in the form of posts or messages. From these sources, we can get good information about the mood of those patients, which will further help us with their treatment. After applying the necessary pre-processing to this data, we can apply sentimental analysis methods, which will help us predict the positive or negative emotions of cancer patients on these online platforms. We can give better psychological support to these patients after analyzing their mental health. So, our objective is to design a model capable of identifying such actions, as among all the cancers we are working on, five have the lowest survival percentage. Irin Hoque Orchi Sabrina Tajrin Prarthona Nafisa Tabassum Jaeemul Hossain Iftekhar Alam Ishti B.Sc. in Computer Science 2023-12-31T05:56:27Z 2023-12-31T05:56:27Z 2023 2023-05 Thesis ID 19301023 ID 19101397 ID 19101184 ID 19101632 ID 18201040 http://hdl.handle.net/10361/22043 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. 34 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Sentimental analysis Psychological support Cancer patient SBERT RNN GRU LSTM Few shots Emotional valence Machine learning Natural language processing (Computer science) Artificial intelligence
spellingShingle	Sentimental analysis Psychological support Cancer patient SBERT RNN GRU LSTM Few shots Emotional valence Machine learning Natural language processing (Computer science) Artificial intelligence Orchi, Irin Hoque Prarthona, Sabrina Tajrin Tabassum, Nafisa Hossain, Jaeemul Ishti, Iftekhar Alam Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
author2	Sadeq, Farig Yousuf
author_facet	Sadeq, Farig Yousuf Orchi, Irin Hoque Prarthona, Sabrina Tajrin Tabassum, Nafisa Hossain, Jaeemul Ishti, Iftekhar Alam
format	Thesis
author	Orchi, Irin Hoque Prarthona, Sabrina Tajrin Tabassum, Nafisa Hossain, Jaeemul Ishti, Iftekhar Alam
author_sort	Orchi, Irin Hoque
title	Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
title_short	Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
title_full	Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
title_fullStr	Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
title_full_unstemmed	Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
title_sort	mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
publisher	Brac University
publishDate	2023
url	http://hdl.handle.net/10361/22043
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Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers

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