Patients' Health Analysis using Machine Learning
Author:
Affiliation:
1. National Taipei University of Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan
2. Lovely Professional University,Department of Electronics and Communication Engineering,Phagwara,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099470/10099482/10100285.pdf?arnumber=10100285
Reference8 articles.
1. Design and Development of a Temperature-Compensated Body Mass Index Measuring System
2. Predicting Discharge Destination of Critically Ill Patients Using Machine Learning
3. A machine learning based ensemble approach for predictive analysis of healthcare data;ramesh;2020 2nd PhD Colloquium on Ethically Driven Innovation and Technology for Society (PhD EDITS),2021
4. Applying Internet of things and machine-learning for personalized healthcare: issues and challenges;ahamed;2018 International Conference on Machine Learning and Data Engineering (iCMLDE) iCMLDE,2019
5. Association of body mass index, diabetes, hypertension, and blood pressure levels with risk of permanent atrial fibrillation;thacker;Journal of General Internal Medicine,2012
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