Data Analytics in Mental Healthcare

Table 1

Types of mental illness and role of big data.

Authors	Discipline(s) reviewed	Keywords used to identify papers for review	Methodology	Number of papers reviewed	Primary findings
Bauer et al. [1]	Bipolar disorder	Bipolar disorder, mental illness, and health literacy	Paper-based survey	68	47% of older adults used the internet versus 87% of younger adults having bipolar disorder
Dhaka and Johari [13]	Mental disorder	Mental health, disorders, and using MongoDB	Genetic algorithm and MongoDB tool	19	Analyzing and storing a large amount of data on MongoDB
Hill et al. [4]	Mental disorder	Mental health, collaborative computing, and e-therapies	(i) Online CBT platform	33	(i) Developing smartphone application
			(ii) Collaborative computing		(ii) For mental disorder
					(iii) For improving e-therapies
Kumar and Bala, [12]	Depression detection through social media	Big data, Hadoop, sentiment analysis, social networks, and Twitter	Sentimental analysis and save data on Hadoop	14	Analyzing twitter users’ view on a particular business product
Kellmeyer [7]	Big brain data	Brain data, neurotechnology, big data, privacy, security, and machine learning	(i) Machine learning	77	(i) Maximizing medical knowledge
			(ii) Consumer-directed neurotechnological devices		(ii) Enhancing the security of devices and sheltering the privacy of personal brain data
			(iii) Combining expert with a bottom-up process
De Montjoye [2]	Mobile phone and user personality	Personality prediction, big data, big five personality prediction, Carrier’s log, and CDR	(i) Entropy: detecting different categories	31	Analyzing phone calls and text messages under a five-factor model
			(ii) Interevent time: frequency of call or text between two users
			(iii) AR coefficients: to convert list of call and text into time series
Furnham [21]	Personality disorder	Dark side, big five, facet analysis, dependence, and dutifulness	Hogan ‘dark side’ measure (HDS) concept of dependent personality disorder (DPD)	34	All of the personality disorders are strongly negatively associated with agreeableness (a type of kind, sympathetic, and cooperative personality)
Bleidorn and Hopwood [3]	Personality assessment	Machine learning, personality assessment, big five, construct validation, and big data	(i) Machine learning	65	Focusing on other aspects like systematic fulfillment and arguing to enhance the validity of machine learning (ML) approach
			(ii) Prediction models
			(iii) K-fold validation