@incollection{,
	
					
					
					04944CB2C9906CAECEA2C650A77301A9
				,
	author={{}},
	journal={{}},
	journal={{}},
	address={Cambridge, United States},
	publisher={Great Britain Journals Press Organisation}
}

@book{b0,
	
	
		,
	title={{WHO guideline recommendations on digital interventions for health system strengthening: evidence and recommendations}}
		
		
			,
	year={17 December 2019}
			,
	publisher={World Health Organization}
			,
	address={Geneva. Available}
		
	

}

@incollection{b1,
	
	
		,
	title={{Analyzing healthcare big data with prediction for future health condition}}
		,
	author={{
			KSahoo
		} and {
			SKMohapatra
		} and {
			& S.-LWu
		}}
		
		
	
	
		,
	journal={{IEEE Access}}
		
			4
			
			,
	year={2016}
		
	

}

@incollection{b2,
	
	
		,
	title={{National Sleep Foundation's sleep time duration recommendations: methodology and results summary}}
		,
	author={{
			MHirshkowitz
		} and {
			KWhiton
		} and {
			SMAlbert
		} and {
			CAlessi
		} and {
			OBruni
		} and {
			L ?Doncarlos
		} and {
			P J AHillard
		}}
		
		
		
		
		
		
	
	
		,
	journal={{Sleep Health}}
		
			1
			1
			
			,
	year={2015}
		
	

}

@incollection{b3,
	
	
		,
	title={{}}
	
	
		,
	journal={{London Journal of Research in Computer Science and Technology}}
		
	

}

@incollection{b4,
	
	
		,
	title={{Disease Prediction by Machine Learning over Big Data from Healthcare Communities}}
		,
	author={{
			MinChen
		} and {
			KaiYixuehao
		} and {
			LuHwang
		} and {
			LinWang
		} and {
			Wang
		}}
		
		
		
		
	
	
		,
	journal={{IEEE Access}}
		
			5
			
			,
	year={2017}
		
	

}

@incollection{b5,
	
	
		,
	title={{Disease prediction with different types of neural network classifiers}}
		,
	author={{
			C.-HWeng
		} and {
			TC
		} and {
			-KHuang
		} and {
			& R.-PHan
		}}
		
		
		
	
	
		,
	journal={{Telematics and Informatics}}
		
			33
			2
			
			,
	year={2016}
		
	

}

@incollection{b6,
	
	
		,
	title={{Disease inference from health-related questions via sparse deep learning}}
		,
	author={{
			MNie
		} and {
			LWang
		} and {
			SZhang
		} and {
			BYan
		} and {
			TSZhang
		} and {
			Chua
		}}
		
		
		
		
		
	
	
		,
	journal={{IEEE Transactions on Knowledge and Data Engineering}}
		
			27
			8
			
			,
	year={2015}
		
	

}

@book{b7,
	
	
		,
	title={{Toward Predicting Medical Conditions Using kNearest Neighbors}}
		,
	author={{
			STayeb
		} and {
			JohannMatinpirouz
		} and {
			KayleeSun
		} and {
			AndrewHall
		} and {
			JessicaChang
		} and {
			?Li
		} and {
			Shahramlatifi
		}}
		
		
		
		
		
		
		
			,
	year={2017}
			
		
	

}

@incollection{b8,
	
	
		,
	title={{Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population based electronic medical claims database}}
		,
	author={{
			HungChen-Ying
		} and {
			ChenWei-Chen
		} and {
			LaiPo-Tsun
		} and {
			LinChing-Heng&
		} and {
			LeeChi-Chun
		}}
		
		
		
		
	
	
		,
	booktitle={{th Annual International Conference of the IEEE Engineering in Medicine and Biology Society}}
		
			,
	year={2017}
			
		
	

}

@incollection{b9,
	
	
		,
	title={{Smart clothing: Connecting human with clouds and big data for sustainable health monitoring}}
		,
	author={{
			YChen
		} and {
			JMa
		} and {
			CSong
		} and {
			BLai
		} and {
			Hu
		}}
		
		
		
		
	
	
		,
	journal={{ACM/SpringerMobile Networks and Applications Mobile}}
		
			21
			5
			
			,
	year={2016}
		
	

}

@book{b10,
	
	
		,
	title={{Different Types of Physical Activity and Fitness and Health in Adults: An 18-Year Longitudinal Study}}
		,
	author={{
			SC ESchmidt
		} and {
			STittlbach
		} and {
			KBös
		}}
		
		
		
			,
	year={2017}
			,
	publisher={BioMed Research International}
		
	

}

@incollection{b11,
	
	
		,
	title={{Analysis of university fitness center data uncovers interesting patterns, Enables prediction}}
		,
	author={{
			YunshuDu
		} and {
			HAssefaw
		} and {
			MatthewEGebremedhin
		} and {
			Taylor
		}}
		
		
		
	
	
		,
	journal={{IEEE transactions on knowledge and data engineering}}
		
			31
			8
			
			,
	year={2019}
		
	

}

@incollection{b12,
	
	
		,
	title={{A Biometric Study of Human Basal Metabolism}}
		,
	author={{
			JAHarris
		} and {
			FGBenedict
		}}
		
	
	
		,
	journal={{Proceedings of the National Academy of Sciences of the United States of America}}
		
			4
			12
			
			,
	year={1918}
		
	

}

@incollection{b13,
	
	
		,
	title={{Addressing the physician shortage: the peril of ignoring demography}}
		,
	author={{
			DGKirch
		} and {
			KPetelle
		}}
		
	
	
		,
	journal={{JAMA}}
		
			317
			19
			
			,
	year={2017}
		
	

}

@incollection{b14,
	
	
		,
	title={{Telemedicine for developing countries}}
		,
	author={{
			CCombi
		} and {
			GPozzani
		} and {
			GPozzi
		}}
		
		
	
	
		,
	journal={{Appl Clin Inform}}
		
			07
			04
			
			,
	year={2016}
		
	

}

@book{b15,
	
	
		,
	title={{Artificial intelligence in healthcare market to see 40% CAGR surge}}
		,
	author={{
			JBresnick
		}}
		
			,
	year={2017}
		
	

}

@book{b16,
	
	
		,
	title={{AI superpowers: China, Silicon Valley, and the new world order. 1st ed}}
		,
	author={{
			K-FLee
		}}
		
			,
	year={2019}
			,
	address={Houghton Mifflin Harcourt}
		
	

}

@book{b17,
	
	
		,
	title={{DeepMind's health team joins Google Health}}
		,
	author={{
			DKing
		}}
		
	

}

@incollection{b18,
	
	
		,
	title={{Analytics: automating visualization, descriptive, and predictive statistics}}
		,
	author={{
			REHoyt
		} and {
			DSnider
		} and {
			CThompson
		} and {
			SMantravadi
		} and {
			Ibm Watson
		}}
		
		
		
		
	
	
		,
	journal={{JMIR Public Health Surveill}}
		
			2
			2
			157
			,
	year={2016}
		
	

}

@book{b19,
	
	
		,
	title={{How is AI used in healthcare-5 powerful real-world examples that show the latest advances}}
		,
	author={{
			BMarr
		}}
		
			,
	year={2018}
			,
	address={Forbes}
		
	

}

@incollection{b20,
	
	
		,
	title={{10 promising AI applications in health care}}
		,
	author={{
			BKalis
		} and {
			MCollier
		} and {
			RFu
		}}
		
		
	
	
		,
	journal={{Harvard Business Review}}
		
			,
	year={2018}
		
	

}

@incollection{b21,
	
	
		,
	title={{The era of exponential improvement in healthcare?}}
		,
	author={{
			SSinghal
		} and {
			SCarlton
		}}
		
	
	
		,
	journal={{McKinsey Co Rev}}
		
			,
	year={2019}
		
	

}

@incollection{b22,
	
	
		,
	title={{Personalized precision medicine}}
		,
	author={{
			LKonieczny
		} and {
			IRoterman
		}}
		
	
	
		,
	journal={{Bio-Algorithms MedSyst}}
		
			15
			,
	year={2019}
		
	

}

@incollection{b23,
	
	
		,
	title={{The future of precision medicine: potential impacts for health technology assessment}}
		,
	author={{
			JLove-Koh
		}}
	
	
		,
	journal={{Pharmacoeconomics}}
		
			36
			12
			
			,
	year={2018}
		
	

}

@book{b24,
	
	
		
		,
	title={{Precedence research}}
		
			,
	year={2023}
		
	

}