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Authors | Discipline(s) reviewed | Keywords used to identify papers for review | Methodology | Number of papers reviewed | Primary findings |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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) |
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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 |
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