Smart Hospital for Heart Disease Prediction Using IoT
Pranav Sorte1, Avinash Golande2, Advait Yermalkar3, Vikas Suryawanshi4, Utkarsha Wanjare5, Sandip Satpute6
1Pranav Sorte, Department of Computer, JSPM’s RSCOE, Pune, India.
2Prof. Avinash Golande, Department of Computer, JSPM’s RSCOE, Pune, India.
3Advait Yermalkar, Department of Computer, JSPM’s RSCOE, Pune, India.
4Vikas Suryawanshi, Department of Computer, JSPM’s RSCOE, Pune, India.
5Utkarsha Wanjare, Department of Computer, JSPM’s RSCOE, Pune, India.
6Sandip Satpute, Department of Computer, JSPM’s RSCOE, Pune, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 321-326 | Volume-8 Issue-9, July 2019 | Retrieval Number: H6648068819 /19©BEIESP | DOI: 10.35940/ijitee.H6648.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Internet of Things (IoT) is inter communication of embedded devices using various network technologies. The IoT technology is all set to become the upcoming trend in the future. We are proposing a healthcare monitoring system consisting of ECG Sensors. The parameters which are having a significant amount of importance are sensed by the ECG sensors which are vital for remote monitoring of patient. A mobile app observation is used to continuously monitor the ECG of the patient and various data extraction techniques are performed on the ECG wave to extract attributes to correctly predict heart diseases. . Data mining with its various algorithms reduce the extra efforts and time required to conduct various tests to detect diseases. Data is collected from ECG sensors. The data is stored onto s storage medium where data mining algorithms are performed on the data collected. These algorithms predict whether the patient has any heart disease. The results can be referred by the doctors for diagnosis purpose. By using IOT technology and data mining algorithms the predication of heart disease is going to do in system.
Keywords: Internet of Things (IoT), Data Mining, Naive Bayes.
Scope of the Article: IoT