Smart home health monitoring system for predicting type 2 diabetes and hypertension

Author:

Chatrati Saiteja Prasad,Hossain Gahangir,Goyal Ayush,Bhan Anupama,Bhattacharya Sayantan,Gaurav Devottam,Tiwari Sanju Mishra

Publisher

Elsevier BV

Subject

General Computer Science

Reference23 articles.

1. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation;Alberti;Diabet. Med.,1998

2. American Heart Association Understanding blood pressure readings [Online], October 28 Retrieved from: http://www.heart.org/en/health-topics/high-blood-pressure/understanding-blood-pressure-readings (accessed 28 October, 2018) 2018

3. Smart health monitoring systems: an overview of design and modeling;Baig;J. Med. Syst.,2013

4. Cardiovascular prognosis of masked hypertension detected by blood pressure self-measurement in elderly treated hypertensive patients;Bobrie;JAMA,2004

5. Dua, D., & Taniskidou, E. K., UCI Machine Learning Repository, “Pima Indians Diabetes Dataset”, 2018, 28 October, [Online]: Retrieved from: http://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes (accessed28 October, 2018).

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4. Smart Home Healthcare Technologies Based on IoT for Bedridden Patient: A Systematic Literature Review;2023 International Conference on Electrical Engineering and Informatics (ICEEI);2023-10-10

5. Type 2 Diabetes Mellitus Prediction Using Data Mining Approach;2023 IEEE International Conference on Computing (ICOCO);2023-10-09

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