Smart Hospital for Heart Disease Prediction using IoT

Avinash Golande - Rajarshi Shahu College of Engineering, Tathawade, Pune, India
Pranav Sorte - Rajarshi Shahu College of Engineering, Tathawade, Pune, India
Vikas Suryawanshi - Rajarshi Shahu College of Engineering, Tathawade, Pune, India
Utkarsha Yermalkar - Rajarshi Shahu College of Engineering, Tathawade, Pune, India
Sandip Satpute - Rajarshi Shahu College of Engineering, Tathawade, Pune, India


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.3.2-2.251

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.

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References


Abhishek and Taneja, “Heart Disease Prediction System Using Data Mining Techniques â€.

Kumari Deepika and Dr. S. Seema, “Predictive analytics to prevent and control chronic diseases â€.

U. Rajendra Acharya , Vidya K Sudarshan , Dhanjoo Ghista , Wei Jie Eugene Lim, Filippo Molinari and Meena Sankaranarayanan, “ Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method â€.

Richa Sharma,Dr. Shailendra Narayan Singh and Dr Sujata Khatri, “ Medical Data Mining Using Different Classification and Clustering Techniques: A Critical Survey â€.

Meenal Saini, Niyati Baliyan and Vineeta Bassi, “Prediction of Heart Disease Severity with Hybrid Data Miningâ€.

Aditya Methaila, Prince Kansal, Himanshu Arya, Pankaj Kumar, “ Early Prediction of Heart Diseases Using Data Mining Techniques â€.

Asha Rajkumar, Mrs. G.Sophia Reena, “Diagnosis Of Heart Disease, Using Data-mining Algorithmâ€.

Associative Classification Approach for Diagnosing Cardiovascular Disease, “ Applications of Data Mining Techniques in Healthcare and Prediction of Heart Attacksâ€.

Franck Le Duff , Cristian Muntean, Marc Cuggia, Philippe Mabo, “Predicting Survival Causes After Out of Hospital Cardiac Arrest using Data Mining Methodâ€.

Carlos Ordonez , “Association Rule Discovery with the Train and Test Approach for Heart Disease Predictionâ€.

Chaitrali Dangare, Sulabha S. Apte, “Improved Study of Heart Disease Prediction System using Data Mining Classification Techniquesâ€.

S.Vijiyarani, S.Sudha, “ An Efficient Classification Tree Technique for Heart Disease Predictionâ€.

Abhishek Rairikar, Vedant Kulkarni, Vikas Sabale, Harshavardhan Kale, Anuradha Lamgunde, “ HEART DISEASE PREDICTION USING DATA MINING TECHNIQUESâ€.

H. Vazirani, R. Kala, A. Shukla, R. Tiwari, “ Use of Modular Neural Network for Heart Diseaseâ€.

Sellappan Palaniappn, Rafiah Awang, “ Intelligent Heart Disease Prediction System Using Data Mining Techniquesâ€.

Marjia Sultana, Afrin Haider, Mohammad Shorif Uddin, “Analysis of Data Mining Techniques for Heart Disease Predictionâ€.

Theresa Princy, J Thomas, “ Human Heart Disease Prediction System using Data Mining TechniquesHuman Heart Disease Prediction System using Data Mining Techniquesâ€.

Durga Kinge , S. K. Gaikwad, “Survey on data mining techniques for disease predictionâ€.

Cemil Colaka, Esra Karamanb, M. Gokhan Turtayb., “ Application of knowledge discovery process on theprsediction of strokeâ€.

G.Sumalatha, Dr.N.J.R. Muniraj , “ Survey on Medical Diagnosis Using DataMining Techniquesâ€.

Sarath Babu, Vivek EM, Famina KP, Fida K, Aswathi P, Shanid M, Hena M , “ Heart Disease Diagnosis Using Data Mining Techniqueâ€.

Amandeep Kaur , Jyoti Arora , “ HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES: A SURVEYâ€

V. Krishnaiah, G. Narsimha, N. Subhash Chandra, “Heart Disease Prediction System using Data Mining Techniques and Intelligent Fuzzy Approach: A Reviewâ€.

Latha Parthiban and R.Subramanian, “Intelligent Heart Disease Prediction System using CANFIS and Genetic Algorithmâ€.

Heon Gyu Lee1, Ki Yong Noh2, and Keun Ho Ryu, “ Mining Biosignal Data: Coronary Artery Disease

Diagnosis Using Linear and Nonlinear Features of HRVâ€

Nita Guru, Anil Dahiye, navin Rajpal, “Decision support system for Heart Disease diagnosis using Neural Networkâ€

Dr. Lewis Potter, “Understanding an ECGâ€.