Health monitoring IoT device with risk prediction using cloud computing and machine learning
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/10361/14439 |
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10361-144392022-01-26T10:15:57Z Health monitoring IoT device with risk prediction using cloud computing and machine learning Das, Anindya Nayeem, Zannatun Faysal, Abu Saleh Himu, Fardoush Hassan Rhaman, Md.Khalilur Department of Computer Science and Engineering, Brac University Health Issue IoT Cloud server Machine Learning Machine learning Cloud computing 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 55-57). Health issues often stay hidden due to not having regular health checkups. Sometimes these issues build-up to a signi cant health hazard which stays hidden until it's often too late. So we came up with a series of ideas that can deal with the abovestated problems and to some extent solve them. Our proposed device can actively check body vitals, send data through the cloud to designated doctors, and give patients noti cation of hazard from doctors. To carry out the above-stated solutions, we are designing an IoT device that interfaces multiple sensors to a microcomputer and sends the collected data to a cloud server for further manipulation which will be done by Machine Learning. After analysis, if the doctor feels there is any risk of health hazard to the patient, he/she can send in the noti cation of hazard through our proposed device. Anindya Das Zannatun Nayeem Abu Saleh Faysal Fardoush Hassan Himu B. Computer Science 2021-05-29T08:37:03Z 2021-05-29T08:37:03Z 2020 2020-04 Thesis ID 16101032 ID 16301021 ID 17301190 ID 17301212 http://dspace.bracu.ac.bd/xmlui/handle/10361/14439 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. 57 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Health Issue IoT Cloud server Machine Learning Machine learning Cloud computing |
| spellingShingle |
Health Issue IoT Cloud server Machine Learning Machine learning Cloud computing Das, Anindya Nayeem, Zannatun Faysal, Abu Saleh Himu, Fardoush Hassan Health monitoring IoT device with risk prediction using cloud computing and machine learning |
| 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 |
Rhaman, Md.Khalilur |
| author_facet |
Rhaman, Md.Khalilur Das, Anindya Nayeem, Zannatun Faysal, Abu Saleh Himu, Fardoush Hassan |
| format |
Thesis |
| author |
Das, Anindya Nayeem, Zannatun Faysal, Abu Saleh Himu, Fardoush Hassan |
| author_sort |
Das, Anindya |
| title |
Health monitoring IoT device with risk prediction using cloud computing and machine learning |
| title_short |
Health monitoring IoT device with risk prediction using cloud computing and machine learning |
| title_full |
Health monitoring IoT device with risk prediction using cloud computing and machine learning |
| title_fullStr |
Health monitoring IoT device with risk prediction using cloud computing and machine learning |
| title_full_unstemmed |
Health monitoring IoT device with risk prediction using cloud computing and machine learning |
| title_sort |
health monitoring iot device with risk prediction using cloud computing and machine learning |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://dspace.bracu.ac.bd/xmlui/handle/10361/14439 |
| work_keys_str_mv |
AT dasanindya healthmonitoringiotdevicewithriskpredictionusingcloudcomputingandmachinelearning AT nayeemzannatun healthmonitoringiotdevicewithriskpredictionusingcloudcomputingandmachinelearning AT faysalabusaleh healthmonitoringiotdevicewithriskpredictionusingcloudcomputingandmachinelearning AT himufardoushhassan healthmonitoringiotdevicewithriskpredictionusingcloudcomputingandmachinelearning |
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