Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case Study
- 24 September 2020
- book chapter
- other
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- Intelligent, Secure Big Health Data Management Using Deep Learning and Blockchain Technology: An OverviewStudies in Big Data, 2019
- Data Analytics in Smart Healthcare: The Recent Developments and BeyondApplied Sciences, 2019
- Data Analysis and Forecasting of Tuberculosis Prevalence Rates for Smart Healthcare Based on a Novel Combination ModelApplied Sciences, 2018
- Big data analytics in smart grids: a reviewEnergy Informatics, 2018
- Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random ForestApplied Sciences, 2018
- Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities ResearchSustainability, 2018
- Two Machine Learning Approaches for Short-Term Wind Speed Time-Series PredictionIEEE Transactions on Neural Networks and Learning Systems, 2015
- Big Data: Issues and Challenges Moving ForwardPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Researchers' big data crisis; understanding design and functionalityCommunications of the ACM, 2012
- The pathologies of big dataCommunications of the ACM, 2009