Intelligent assisted living in pregnancy
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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Brac University
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10361-169452022-06-08T21:01:42Z Intelligent assisted living in pregnancy Zaman, S. M. Tanveer Tasneem, Rafia Shakerin, Tasmia Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Data mining Pregnancy Miscarriage Complications Prediction Decision tree Linear regression analysis Chatbot Machine learning Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 47-49). Pregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, and that the rate of unfortunate miscarriages and stunting are still seen to be rising in this era. The huge advancement of technology, however, has stood up as a shield to protect and prevent these misfortunes from taking place, at a very early stage, by taking some of its useful measures. Artificial Intelligence is playing a vital role in this case and is able to serve aid in this regard. With the help of these techniques, we have decided and attempted to come up with a proposal of a system that is smart enough to assist like a doctor. Taking account of all the minor and major symptoms and difficulties that a woman faces during her pregnancy period, our system will provide an effective outcome based on the information provided by that mother and will encourage the person to take necessary actions. It is often seen that the health issues that a woman faces during her pregnancy period is considered lightly since a visit to the doctor can prove costly. Considering these issues, our proposed application will work its best to instantly impart the solutions for all the common difficulties that a mother may go through during this tough time. This smart proposed application, therefore, aims to conduct operations based on diagnosing the complications the pregnant women face with the data of the symptoms they are showing while also predicting possible miscarriage or severe health complications. S. M. Tanveer Zaman Rafia Tasneem Tasmia Shakerin B. Computer Science 2022-06-08T05:47:21Z 2022-06-08T05:47:21Z 2022 2022-01 Thesis ID 18101539 ID 18101288 ID 18101663 http://hdl.handle.net/10361/16945 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. 49 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Data mining Pregnancy Miscarriage Complications Prediction Decision tree Linear regression analysis Chatbot Machine learning Artificial intelligence |
spellingShingle |
Data mining Pregnancy Miscarriage Complications Prediction Decision tree Linear regression analysis Chatbot Machine learning Artificial intelligence Zaman, S. M. Tanveer Tasneem, Rafia Shakerin, Tasmia Intelligent assisted living in pregnancy |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
author2 |
Alam, Md. Golam Rabiul |
author_facet |
Alam, Md. Golam Rabiul Zaman, S. M. Tanveer Tasneem, Rafia Shakerin, Tasmia |
format |
Thesis |
author |
Zaman, S. M. Tanveer Tasneem, Rafia Shakerin, Tasmia |
author_sort |
Zaman, S. M. Tanveer |
title |
Intelligent assisted living in pregnancy |
title_short |
Intelligent assisted living in pregnancy |
title_full |
Intelligent assisted living in pregnancy |
title_fullStr |
Intelligent assisted living in pregnancy |
title_full_unstemmed |
Intelligent assisted living in pregnancy |
title_sort |
intelligent assisted living in pregnancy |
publisher |
Brac University |
publishDate |
2022 |
url |
http://hdl.handle.net/10361/16945 |
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AT zamansmtanveer intelligentassistedlivinginpregnancy AT tasneemrafia intelligentassistedlivinginpregnancy AT shakerintasmia intelligentassistedlivinginpregnancy |
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