The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
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Brac University
2021
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| Online Zugang: | http://dspace.bracu.ac.bd/xmlui/handle/10361/14450 |
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10361-144502023-10-15T10:55:40Z The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction Mahmud, Mahmudul Hasan Arif, Hossain Department of Computer Science and Engineering, Brac University Diabetes prediction Naïve Bayes Decision tree Random forest Logistic regression SVC Linear SVC KNN LassoCV GridsearchCV KFold StratifiedKFold This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 37-39). Over the years, data mining and machine learning have proved to be very convenient in numerous fields of science and technology and their applications in the medical sector is an emerging one. With the world population rate increasing by the year, the medical sector is generating immense amount of data every day. By storing this data and analyzing it for disease patterns, using numerous data mining and machine learning techniques, predictive models can be built to assess future risk to potential patients. These models may have a very important role in a developing country like Bangladesh, where Non-Communicable Diseases (NCD) like diabetes and heart diseases have affected a large portion of its population. Clinical diagnosis of these diseases requires a lot of tests which complicates the prediction process and proves to be expensive for most patients as well. Predictive models based on data mining and machine learning techniques provides a much more efficient system of predicting future risks for patients, saving lives and a lot of money. This project looks at several data mining and machine learning techniques for analyzing medical data in order to recognize disease patterns, compare their performances and eventually produces a model with the highest accuracy in disease prediction. Mahmudul Hasan Mahmud B. Computer Science 2021-05-29T17:19:18Z 2021-05-29T17:19:18Z 2020 2020 Thesis ID: 15141010 http://dspace.bracu.ac.bd/xmlui/handle/10361/14450 en_US 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. 39 pages application/pdf Brac University |
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Brac University |
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Institutional Repository |
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en_US |
| topic |
Diabetes prediction Naïve Bayes Decision tree Random forest Logistic regression SVC Linear SVC KNN LassoCV GridsearchCV KFold StratifiedKFold |
| spellingShingle |
Diabetes prediction Naïve Bayes Decision tree Random forest Logistic regression SVC Linear SVC KNN LassoCV GridsearchCV KFold StratifiedKFold Mahmud, Mahmudul Hasan The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Mahmud, Mahmudul Hasan |
| format |
Thesis |
| author |
Mahmud, Mahmudul Hasan |
| author_sort |
Mahmud, Mahmudul Hasan |
| title |
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction |
| title_short |
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction |
| title_full |
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction |
| title_fullStr |
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction |
| title_full_unstemmed |
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction |
| title_sort |
applications of data mining and machine learning in bangladesh for disease pattern analysis and prediction |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://dspace.bracu.ac.bd/xmlui/handle/10361/14450 |
| work_keys_str_mv |
AT mahmudmahmudulhasan theapplicationsofdataminingandmachinelearninginbangladeshfordiseasepatternanalysisandprediction AT mahmudmahmudulhasan applicationsofdataminingandmachinelearninginbangladeshfordiseasepatternanalysisandprediction |
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1814309635027369984 |