Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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| Dil: | English |
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BRAC University
2019
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| Online Erişim: | http://hdl.handle.net/10361/11446 |
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10361-114462022-01-26T10:18:14Z Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics Habib, Sumaya Moin, Maisha Binte Aziz, Sujana Arif, Hossain Department of Computer Science and Engineering, BRAC University Risk prediction Exploratory analysis Big data analytics Heart disease Data mining Big data Quantitative research This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 25-27). With the ever increasing population of the world, diseases and their possibilities are also increasing at an alarming rate. As time passes by, diagnosing diseases and providing appropriate treatment at the right time has become quite a challenge. Heart diseases, for one, have been a major cause of death worldwide. Therefore, this research has been focused on finding an efficient way to predict the chances of a heart failure and accordingly, recommend appropriate medicines to aid cardiologists in quicker decision making. The research includes finding the correlations or associations between the various attributes of the dataset by utilizing the standard techniques of exploratory analysis and hence using the attributes suitably to predict the chances of a heart failure, as well as the medicine recommendations. A comparative study has also been included which shows the various attained accuracy rates of different machine learning algorithms including - Logistic Regression, Naïve Bayes, Decision Tree, Linear SVC, Random Forest, and Gradient Boosting Classifier. The Apache Spark framework has been used in order to make the system capable of handling big data. Sumaya Habib Maisha Binte Moin Sujana Aziz B. Computer Science and Engineering 2019-02-24T06:07:16Z 2019-02-24T06:07:16Z 2018 2018-12 Thesis ID 15101129 ID 15201003 ID 15101019 http://hdl.handle.net/10361/11446 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. 27 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Risk prediction Exploratory analysis Big data analytics Heart disease Data mining Big data Quantitative research |
| spellingShingle |
Risk prediction Exploratory analysis Big data analytics Heart disease Data mining Big data Quantitative research Habib, Sumaya Moin, Maisha Binte Aziz, Sujana Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Habib, Sumaya Moin, Maisha Binte Aziz, Sujana |
| format |
Thesis |
| author |
Habib, Sumaya Moin, Maisha Binte Aziz, Sujana |
| author_sort |
Habib, Sumaya |
| title |
Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics |
| title_short |
Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics |
| title_full |
Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics |
| title_fullStr |
Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics |
| title_full_unstemmed |
Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics |
| title_sort |
heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics |
| publisher |
BRAC University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11446 |
| work_keys_str_mv |
AT habibsumaya heartfailureriskpredictionandmedicinerecommendationsystemusingexploratoryanalysisandbigdataanalytics AT moinmaishabinte heartfailureriskpredictionandmedicinerecommendationsystemusingexploratoryanalysisandbigdataanalytics AT azizsujana heartfailureriskpredictionandmedicinerecommendationsystemusingexploratoryanalysisandbigdataanalytics |
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