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Citing this Article

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Published on 29.06.17 in Vol 19, No 6 (2017): June

This paper is in the following e-collection/theme issue:

Works citing "Researching Mental Health Disorders in the Era of Social Media: Systematic Review"

Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin

J Med Internet Res 2017 (Jun 29); 19(6):e228 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7215):

(note that this is only a small subset of citations)

  1. Crocamo C, Viviani M, Bartoli F, Carrà G, Pasi G. Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter’s Users: An Exploratory Content- and Topology-Based Analysis. International Journal of Environmental Research and Public Health 2020;17(5):1510
    CrossRef
  2. Malaeb D, Salameh P, Barbar S, Awad E, Haddad C, Hallit R, Sacre H, Akel M, Obeid S, Hallit S. Problematic social media use and mental health (depression, anxiety, and insomnia) among Lebanese adults: Any mediating effect of stress?. Perspectives in Psychiatric Care 2021;57(2):539
    CrossRef
  3. Tran BX, McIntyre RS, Latkin CA, Phan HT, Vu GT, Nguyen HLT, Gwee KK, Ho CSH, Ho RCM. The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis. International Journal of Environmental Research and Public Health 2019;16(12):2150
    CrossRef
  4. Ford E, Curlewis K, Wongkoblap A, Curcin V. Public Opinions on Using Social Media Content to Identify Users With Depression and Target Mental Health Care Advertising: Mixed Methods Survey. JMIR Mental Health 2019;6(11):e12942
    CrossRef
  5. Kamiński , Łoniewski , Misera , Marlicz . Heartburn-Related Internet Searches and Trends of Interest across Six Western Countries: A Four-Year Retrospective Analysis Using Google Ads Keyword Planner. International Journal of Environmental Research and Public Health 2019;16(23):4591
    CrossRef
  6. Zhou T, Hu G, Wang L. Psychological Disorder Identifying Method Based on Emotion Perception over Social Networks. International Journal of Environmental Research and Public Health 2019;16(6):953
    CrossRef
  7. Notredame C, Morgiève M, Morel F, Berrouiguet S, Azé J, Vaiva G. Distress, Suicidality, and Affective Disorders at the Time of Social Networks. Current Psychiatry Reports 2019;21(10)
    CrossRef
  8. Choo H, Kim M, Choi J, Shin J, Shin S. Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study. Journal of Medical Internet Research 2020;22(10):e21369
    CrossRef
  9. Harb JG, Ebeling R, Becker K. A framework to analyze the emotional reactions to mass violent events on Twitter and influential factors. Information Processing & Management 2020;57(6):102372
    CrossRef
  10. Chancellor S, De Choudhury M. Methods in predictive techniques for mental health status on social media: a critical review. npj Digital Medicine 2020;3(1)
    CrossRef
  11. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  12. Cacheda F, Fernandez D, Novoa FJ, Carneiro V. Early Detection of Depression: Social Network Analysis and Random Forest Techniques. Journal of Medical Internet Research 2019;21(6):e12554
    CrossRef
  13. Zhao Y, Guo Y, He X, Wu Y, Yang X, Prosperi M, Jin Y, Bian J. Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics Journal 2020;26(2):765
    CrossRef
  14. COLDER CARRAS M, MOJTABAI R, CULLEN B. Beyond Social Media: A Cross-Sectional Survey of Other Internet and Mobile Phone Applications in a Community Psychiatry Population. Journal of Psychiatric Practice 2018;24(2):127
    CrossRef
  15. Alonso SG, de la Torre-Díez I, Hamrioui S, López-Coronado M, Barreno DC, Nozaleda LM, Franco M. Data Mining Algorithms and Techniques in Mental Health: A Systematic Review. Journal of Medical Systems 2018;42(9)
    CrossRef
  16. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
    CrossRef
  17. Chancellor S, Baumer EPS, De Choudhury M. Who is the "Human" in Human-Centered Machine Learning. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
    CrossRef
  18. Moura I, Teles A, Silva F, Viana D, Coutinho L, Barros F, Endler M. Mental health ubiquitous monitoring supported by social situation awareness: A systematic review. Journal of Biomedical Informatics 2020;107:103454
    CrossRef
  19. Wang L, Liu H, Zhou T. A Sequential Emotion Approach for Diagnosing Mental Disorder on Social Media. Applied Sciences 2020;10(5):1647
    CrossRef
  20. Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. Journal of Medical Internet Research 2019;21(6):e14199
    CrossRef
  21. Zhu B, Zheng X, Liu H, Li J, Wang P. Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics. Chaos, Solitons & Fractals 2020;140:110123
    CrossRef
  22. Su C, Xu Z, Pathak J, Wang F. Deep learning in mental health outcome research: a scoping review. Translational Psychiatry 2020;10(1)
    CrossRef
  23. Ahmad AR, Murad HR. The Impact of Social Media on Panic During the COVID-19 Pandemic in Iraqi Kurdistan: Online Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e19556
    CrossRef
  24. Schmidt SJ, Kaess M. Fortschritte und Herausforderungen für die Analyse von Big Data in sozialen Medien im Jugendalter. Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie 2020;48(1):47
    CrossRef
  25. Kumar A, Sharma A, Arora A. Anxious Depression Prediction in Real-time Social Data. SSRN Electronic Journal 2019;
    CrossRef
  26. Wang X, Chen S, Li T, Li W, Zhou Y, Zheng J, Chen Q, Yan J, Tang B. Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis. JMIR Medical Informatics 2020;8(7):e17958
    CrossRef
  27. Huang T, Elghafari A, Relia K, Chunara R. High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data. Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1
    CrossRef
  28. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef
  29. Zhang Y, Zhang OR, Li R, Flores A, Selek S, Zhang XY, Xu H. Psychiatric stressor recognition from clinical notes to reveal association with suicide. Health Informatics Journal 2019;25(4):1846
    CrossRef
  30. Yoo DW, Birnbaum ML, Van Meter AR, Ali AF, Arenare E, Abowd GD, De Choudhury M. Designing a Clinician-Facing Tool for Using Insights From Patients’ Social Media Activity: Iterative Co-Design Approach. JMIR Mental Health 2020;7(8):e16969
    CrossRef
  31. Fernández-Sotos P, Fernández-Caballero A, González P, Aparicio AI, Martínez-Gras I, Torio I, Dompablo M, García-Fernández L, Santos JL, Rodriguez-Jimenez R. Digital Technology for Internet Access by Patients With Early-Stage Schizophrenia in Spain: Multicenter Research Study. Journal of Medical Internet Research 2019;21(4):e11824
    CrossRef
  32. Du J, Zhang Y, Luo J, Jia Y, Wei Q, Tao C, Xu H. Extracting psychiatric stressors for suicide from social media using deep learning. BMC Medical Informatics and Decision Making 2018;18(S2)
    CrossRef
  33. Moessner M, Feldhege J, Wolf M, Bauer S. Analyzing big data in social media: Text and network analyses of an eating disorder forum. International Journal of Eating Disorders 2018;51(7):656
    CrossRef
  34. Naslund JA, Gonsalves PP, Gruebner O, Pendse SR, Smith SL, Sharma A, Raviola G. Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention. Current Treatment Options in Psychiatry 2019;6(4):337
    CrossRef
  35. Walsh CG, Chaudhry B, Dua P, Goodman KW, Kaplan B, Kavuluru R, Solomonides A, Subbian V. Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence. JAMIA Open 2020;3(1):9
    CrossRef
  36. Mavragani A, Ochoa G, Tsagarakis KP. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270
    CrossRef
  37. . Research Directions for Clinical Care and Technology: the JTIBS Research Column. Journal of Technology in Behavioral Science 2020;5(4):303
    CrossRef
  38. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1)
    CrossRef
  39. Coşkun M, Ozturan M. #europehappinessmap: A Framework for Multi-Lingual Sentiment Analysis via Social Media Big Data (A Twitter Case Study). Information 2018;9(5):102
    CrossRef
  40. Resnik P, Foreman A, Kuchuk M, Musacchio Schafer K, Pinkham B. Naturally occurring language as a source of evidence in suicide prevention. Suicide and Life-Threatening Behavior 2021;51(1):88
    CrossRef
  41. Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1
    CrossRef
  42. Ford E, Shepherd S, Jones K, Hassan L. Toward an Ethical Framework for the Text Mining of Social Media for Health Research: A Systematic Review. Frontiers in Digital Health 2021;2
    CrossRef
  43. Bour C, Schmitz S, Ahne A, Perchoux C, Dessenne C, Fagherazzi G. Scoping review protocol on the use of social media for health research purposes. BMJ Open 2021;11(2):e040671
    CrossRef
  44. Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920
    CrossRef
  45. Singh A, Singh J. Automation of detection of social network mental disorders – A review. IOP Conference Series: Materials Science and Engineering 2021;1022(1):012008
    CrossRef
  46. Zhang W, Liu L, Cheng Q, Chen Y, Xu D, Gong W. The Relationship Between Images Posted by New Mothers on WeChat Moments and Postpartum Depression: Cohort Study. Journal of Medical Internet Research 2020;22(11):e23575
    CrossRef
  47. Tao X, Chi O, Delaney PJ, Li L, Huang J. Detecting depression using an ensemble classifier based on Quality of Life scales. Brain Informatics 2021;8(1)
    CrossRef
  48. Liu S, Vahedian F, Hachen D, Lizardo O, Poellabauer C, Striegel A, Milenković T. Heterogeneous Network Approach to Predict Individuals’ Mental Health. ACM Transactions on Knowledge Discovery from Data 2021;15(2):1
    CrossRef
  49. Ignatiev NA, Stankevich MA, Smirnov IV, Kiselnikova NV, Grigoriev OG. Predicting Personal Traits from Vkontakte Images. Scientific and Technical Information Processing 2020;47(6):383
    CrossRef
  50. Zhu Y, Cao L, Xie J, Yu Y, Chen A, Huang F. Using social media data to assess the impact of COVID-19 on mental health in China. Psychological Medicine 2021;:1
    CrossRef
  51. Goering S, Klein E, Specker Sullivan L, Wexler A, Agüera y Arcas B, Bi G, Carmena JM, Fins JJ, Friesen P, Gallant J, Huggins JE, Kellmeyer P, Marblestone A, Mitchell C, Parens E, Pham M, Rubel A, Sadato N, Teicher M, Wasserman D, Whittaker M, Wolpaw J, Yuste R. Recommendations for Responsible Development and Application of Neurotechnologies. Neuroethics 2021;14(3):365
    CrossRef
  52. Le Glaz A, Haralambous Y, Kim-Dufor D, Lenca P, Billot R, Ryan TC, Marsh J, DeVylder J, Walter M, Berrouiguet S, Lemey C. Machine Learning and Natural Language Processing in Mental Health: Systematic Review. Journal of Medical Internet Research 2021;23(5):e15708
    CrossRef
  53. Li L, Novillo-Ortiz D, Azzopardi-Muscat N, Kostkova P. Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews. Frontiers in Public Health 2021;9
    CrossRef
  54. S S, S. Raj J. Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study. Journal of Trends in Computer Science and Smart Technology 2021;3(1):24
    CrossRef
  55. Dheeraj K, Ramakrishnudu T. Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model. Expert Systems with Applications 2021;182:115265
    CrossRef
  56. Moreno MA, Gaus Q, Wilt M, Arseniev-Koehler A, Ton A, Adrian M, VanderStoep A. Displayed Depression Symptoms on Facebook at Two Time Points: Content Analysis. JMIR Formative Research 2021;5(5):e20179
    CrossRef
  57. Grzenda A, Kraguljac NV, McDonald WM, Nemeroff C, Torous J, Alpert JE, Rodriguez CI, Widge AS. Evaluating the Machine Learning Literature: A Primer and User’s Guide for Psychiatrists. American Journal of Psychiatry 2021;178(8):715
    CrossRef
  58. Jung W, Kim D, Nam S, Zhu Y. Suicidality Detection on Social Media Using Metadata and Text Feature Extraction and Machine Learning. Archives of Suicide Research 2023;27(1):13
    CrossRef
  59. Wongkoblap A, Vadillo MA, Curcin V. Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study. JMIR Mental Health 2021;8(8):e19824
    CrossRef
  60. Wiegersma S, Hidajat M, Schrieken B, Veldkamp B, Olff M. Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation. JMIR Mental Health 2022;9(4):e21111
    CrossRef
  61. Amusa LB, Twinomurinzi H, Okonkwo CW. Modeling COVID-19 incidence with Google Trends. Frontiers in Research Metrics and Analytics 2022;7
    CrossRef
  62. Hänsel K, Lin IW, Sobolev M, Muscat W, Yum-Chan S, De Choudhury M, Kane JM, Birnbaum ML. Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders. Frontiers in Psychiatry 2021;12
    CrossRef
  63. Bhattacharya M, Roy S, Chattopadhyay S, Das AK, Shetty S. A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges. SECURITY AND PRIVACY 2023;6(1)
    CrossRef
  64. Schindler M, Domahidi E. The computational turn in online mental health research: A systematic review. New Media & Society 2023;25(10):2781
    CrossRef
  65. Skaik RS, Inkpen D. Predicting Depression in Canada by Automatic Filling of Beck’s Depression Inventory Questionnaire. IEEE Access 2022;10:102033
    CrossRef
  66. Erturk S, Hudson G, Jansli SM, Morris D, Odoi CM, Wilson E, Clayton-Turner A, Bray V, Yourston G, Cornwall A, Cummins N, Wykes T, Jilka S. Codeveloping and Evaluating a Campaign to Reduce Dementia Misconceptions on Twitter: Machine Learning Study. JMIR Infodemiology 2022;2(2):e36871
    CrossRef
  67. Chatterjee M, Kumar P, Samanta P, Sarkar D. Suicide ideation detection from online social media: A multi-modal feature based technique. International Journal of Information Management Data Insights 2022;2(2):100103
    CrossRef
  68. Malhotra A, Jindal R. Deep learning techniques for suicide and depression detection from online social media: A scoping review. Applied Soft Computing 2022;130:109713
    CrossRef
  69. Jang J, Yoon S, Son G, Kang M, Choeh JY, Choi K. Predicting Personality and Psychological Distress Using Natural Language Processing: A Study Protocol. Frontiers in Psychology 2022;13
    CrossRef
  70. Baniata MOAH, Asghar S. Measuring the impact of social drive across social media forums: a case study of COVID-19. Multimedia Tools and Applications 2022;81(8):10777
    CrossRef
  71. Wang K, Lin K, Yang S, Na S. The Relationship Between Social Media Digitalization and Coronavirus Disease 2019 Fear Among Service Sector Employees. Frontiers in Psychology 2021;12
    CrossRef
  72. . Detecting Suicide Ideation in the Online Environment: A Survey of Methods and Challenges. IEEE Transactions on Computational Social Systems 2022;9(3):679
    CrossRef
  73. Gupta M, Ramar D, Vijayan R, Gupta N. Artificial Intelligence Tools for Suicide Prevention in Adolescents and Young Adults. Adolescent Psychiatry 2022;12(1):1
    CrossRef
  74. Ulep AJ, Deshpande AK, Beukes EW, Placette A, Manchaiah V. Social Media Use in Hearing Loss, Tinnitus, and Vestibular Disorders: A Systematic Review. American Journal of Audiology 2022;31(3S):1019
    CrossRef
  75. Safa R, Bayat P, Moghtader L. Automatic detection of depression symptoms in twitter using multimodal analysis. The Journal of Supercomputing 2022;78(4):4709
    CrossRef
  76. Zhenhua H, Nan W. Empirical analysis based on the related factors of college students’ mental health problems. Frontiers in Psychology 2022;13
    CrossRef
  77. Karmegam D, Ramamoorthy T, Mappillairajan B. A Systematic Review of Techniques Employed for Determining Mental Health Using Social Media in Psychological Surveillance During Disasters. Disaster Medicine and Public Health Preparedness 2020;14(2):265
    CrossRef
  78. Elbarazi I, Saddik B, Grivna M, Aziz F, Elsori D, Stip E, Bendak E. The Impact of the COVID-19 “Infodemic” on Well-Being: A Cross-Sectional Study. Journal of Multidisciplinary Healthcare 2022;Volume 15:289
    CrossRef
  79. Sarkar D, Kumar P, Samanta P, Dutta S, Chatterjee M. A Two-Level Multi-Modal Analysis for Depression Detection From Online Social Media. International Journal of Software Innovation 2022;10(1):1
    CrossRef
  80. Acosta JD, Chandra A, Yeung D, Nelson C, Qureshi N, Blagg T, Martin LT. What Data Should Be Included in a Modern Public Health Data System. Big Data 2022;10(S1):S9
    CrossRef
  81. Gai Z, Fan C, Shen S, Ge Y, Shi Z, Li S, Zhang Y, Cao Y, Chai J. Using Social Media Data to Explore Urban Land Value and Sentiment Inequality: A Case Study of Xiamen, China. Wireless Communications and Mobile Computing 2022;2022:1
    CrossRef
  82. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941
    CrossRef
  83. Taghvaei N, Masoumi B, Keyvanpour MR. Analytical framework for mental health feature extraction methods in social networks. Intelligent Decision Technologies 2021;15(3):343
    CrossRef
  84. Ma JS, O’Riordan M, Mazzer K, Batterham PJ, Bradford S, Kõlves K, Titov N, Klein B, Rickwood DJ. Consumer Perspectives on the Use of Artificial Intelligence Technology and Automation in Crisis Support Services: Mixed Methods Study. JMIR Human Factors 2022;9(3):e34514
    CrossRef
  85. Suarez-Lledo V, Mejova Y. Behavior Change Around an Online Health Awareness Campaign: A Causal Impact Study. Frontiers in Public Health 2022;10
    CrossRef
  86. Borba de Souza V, Campos Nobre J, Becker K. DAC Stacking: A Deep Learning Ensemble to Classify Anxiety, Depression, and Their Comorbidity From Reddit Texts. IEEE Journal of Biomedical and Health Informatics 2022;26(7):3303
    CrossRef
  87. Walsh J, Dwumfour C, Cave J, Griffiths F. Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review. BMC Medical Research Methodology 2022;22(1)
    CrossRef
  88. Amusa LB, Twinomurinzi H, Phalane E, Phaswana-Mafuya RN. Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda. Interactive Journal of Medical Research 2023;12:e42292
    CrossRef
  89. FOWLER JC, MADAN A, BRUCE CR, FRUEH BC, KASH B, JONES SL, SASANGOHAR F. Improving Psychiatric Care Through Integrated Digital Technologies. Journal of Psychiatric Practice 2021;27(2):92
    CrossRef
  90. Rutter LA, Howard J, Lakhan P, Valdez D, Bollen J, Lorenzo-Luaces L. “I Haven’t Been Diagnosed, but I Should Be”—Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study. JMIR Formative Research 2023;7:e39206
    CrossRef
  91. Hu M, Benson R, Chen AT, Zhu S, Conway M. Determining the prevalence of cannabis, tobacco, and vaping device mentions in online communities using natural language processing. Drug and Alcohol Dependence 2021;228:109016
    CrossRef
  92. Hacohen-Kerner Y, Manor N, Goldmeier M, Bachar E. Detection of Anorexic Girls-In Blog Posts Written in Hebrew Using a Combined Heuristic AI and NLP Method. IEEE Access 2022;10:34800
    CrossRef
  93. Diniz EJS, Fontenele JE, de Oliveira AC, Bastos VH, Teixeira S, Rabêlo RL, Calçada DB, dos Santos RM, de Oliveira AK, Teles AS. Boamente: A Natural Language Processing-Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation. Healthcare 2022;10(4):698
    CrossRef
  94. Smrke U, Mlakar I, Lin S, Musil B, Plohl N. Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review. JMIR Mental Health 2021;8(12):e30439
    CrossRef
  95. Rogers D, Preece A, Innes M, Spasic I. Real-Time Text Classification of User-Generated Content on Social Media: Systematic Review. IEEE Transactions on Computational Social Systems 2022;9(4):1154
    CrossRef
  96. Figuerêdo JSL, Maia ALL, Calumby RT. Early depression detection in social media based on deep learning and underlying emotions. Online Social Networks and Media 2022;31:100225
    CrossRef
  97. Iyortsuun NK, Kim S, Jhon M, Yang H, Pant S. A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis. Healthcare 2023;11(3):285
    CrossRef
  98. Metzler H, Baginski H, Niederkrotenthaler T, Garcia D. Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach. Journal of Medical Internet Research 2022;24(8):e34705
    CrossRef
  99. Martinez-Millana A, Saez-Saez A, Tornero-Costa R, Azzopardi-Muscat N, Traver V, Novillo-Ortiz D. Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews. International Journal of Medical Informatics 2022;166:104855
    CrossRef
  100. Li X, Arif M. Research on the Application of Data Mining Technology in College Students’ Mental Health Education in the Network Age. Security and Communication Networks 2022;2022:1
    CrossRef
  101. Varanasi LK, Dasari CM. Deep Learning based techniques for Neuro-degenerative disorders detection. Engineering Applications of Artificial Intelligence 2023;122:106103
    CrossRef
  102. Lin Y, Alshehri Y, Alnazzawi N, Abid M, Khan SA, Jabeen F, Elwarfalli I. Social media analytics and their applications to evaluate an activity in online health interventions using CRITIC and TOPSIS techniques. Soft Computing 2023;
    CrossRef
  103. Di Cara NH, Maggio V, Davis OSP, Haworth CMA. Methodologies for Monitoring Mental Health on Twitter: Systematic Review. Journal of Medical Internet Research 2023;25:e42734
    CrossRef
  104. Cascalheira CJ, Flinn RE, Zhao Y, Klooster D, Laprade D, Hamdi SM, Scheer JR, Gonzalez A, Lund EM, Gomez IN, Saha K, De Choudhury M. Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study. JMIR Formative Research 2023;7:e47256
    CrossRef
  105. Guiñazú MF, González M, Ruiz RB, Hernández V, Diez SB, Velásquez JD. A novel depression risk prediction model based on data fusion from Chilean National Health Surveys to diagnose risk depression among patients with mood disorders. Information Fusion 2023;100:101960
    CrossRef
  106. Khorasani M, Kahani M, Yazdi SAA, Hajiaghaei-Keshteli M. Towards finding the lost generation of autistic adults: A deep and multi-view learning approach on social media. Knowledge-Based Systems 2023;276:110724
    CrossRef
  107. Arji G, Erfannia L, alirezaei S, Hemmat M. A systematic literature review and analysis of deep learning algorithms in mental disorders. Informatics in Medicine Unlocked 2023;40:101284
    CrossRef
  108. Chatterjee M, Kumar P, Sarkar D. Generating a Mental Health Curve for Monitoring Depression in Real Time by Incorporating Multimodal Feature Analysis Through Social Media Interactions. International Journal of Intelligent Information Technologies 2023;19(1):1
    CrossRef
  109. Kolasa K, Admassu B, Hołownia-Voloskova M, Kędzior KJ, Poirrier J, Perni S. Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(1):63
    CrossRef
  110. Nghiem J, Adler DA, Estrin D, Livesey C, Choudhury T. Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study. JMIR Formative Research 2023;7:e47380
    CrossRef
  111. Villa-Pérez ME, Trejo LA, Moin MB, Stroulia E. Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach. IEEE Access 2023;11:128135
    CrossRef
  112. Kerz E, Zanwar S, Qiao Y, Wiechmann D. Toward explainable AI (XAI) for mental health detection based on language behavior. Frontiers in Psychiatry 2023;14
    CrossRef
  113. Shahzadi I, Fuzail MM, Aslam DN. Deep Emotions Recognition from Facial Expressions using Deep Learning. VFAST Transactions on Software Engineering 2023;11(2):58
    CrossRef
  114. Jin Z, Su R, Liu Y, Duan C. A psychological evaluation method incorporating noisy label correction mechanism. Soft Computing 2024;
    CrossRef
  115. Mieles Toloza I, Delgado Meza J, Acevedo-Suárez J. Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios. Revista Politécnica 2024;53(1):57
    CrossRef
  116. Nicomedes CJC, Sasot CF, Santos GF, Distor JMS, Marzan PB, Manda AR. A Convergent-mixed Method Study on the Attitudes and Perception Towards Suicide Memes and Suicidality. The Open Psychology Journal 2024;17(1)
    CrossRef
  117. BAYRAM HM, ÖZTÜRKCAN A. Türkiye’de Popüler Diyet Terimlerine Gösterilen İlginin İncelenmesi: Bir İnfodemiyoloji Çalışması. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 2024;
    CrossRef

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  8. Bhunia GS, Shit PK. Spatial Modeling in Forest Resources Management. 2021. Chapter 1:3
    CrossRef
  9. Arora S, Malik A, Khurana P, Batra I. Advanced Informatics for Computing Research. 2021. Chapter 13:141
    CrossRef
  10. Gupta S, Mehndiratta N, Sinha S, Chaturvedi S, Singla M. Biomedical Data Mining for Information Retrieval. 2021. :263
    CrossRef
  11. Tenenbaum E, Ranallo PA, Hastings J. Mental Health Informatics. 2021. Chapter 9:217
    CrossRef
  12. Hussain Z, Borah MD. Deep Learning for Social Media Data Analytics. 2022. Chapter 10:177
    CrossRef
  13. Andavar V, Gupta S. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies. 2022. chapter 5:70
    CrossRef
  14. Kern M, Armstrong P. Encyclopedia of Mental Health. 2023. :849
    CrossRef
  15. Wajnerman A, López-Silva P. Protecting the Mind. 2022. Chapter 12:141
    CrossRef
  16. Ingram WM, Khanna R, Weston C. Mental Health Informatics. 2021. Chapter 17:453
    CrossRef
  17. Cachia A, Camilleri V, Dingli A, Galea M, Grech P, Sammut A, Scerri J. Ethical Implications of Reshaping Healthcare With Emerging Technologies. 2022. chapter 6:104
    CrossRef
  18. Hilty DM, Armstrong CM, Edwards-Stewart A, Luxton DD. Digital Therapeutics for Mental Health and Addiction. 2023. :217
    CrossRef
  19. Smirnov I, Stankevich M, Kuznetsova Y, Suvorova M, Larionov D, Nikitina E, Savelov M, Grigoriev O. Artificial Intelligence. 2021. Chapter 16:232
    CrossRef
  20. Mubashir A, Shafique N, Bibi E. Panic Buying and Environmental Disasters. 2022. Chapter 18:307
    CrossRef
  21. Arora S, Malik A. Computational Intelligence for Engineering and Management Applications. 2023. Chapter 23:293
    CrossRef
  22. Chatterjee M, Modak S, Sarkar D. Cognitive Cardiac Rehabilitation Using IoT and AI Tools. 2023. chapter 4:44
    CrossRef
  23. Safa R, Edalatpanah S, Sorourkhah A. Deep Learning in Personalized Healthcare and Decision Support. 2023. :285
    CrossRef
  24. Tapu MABS, Akash RS, Al Fahim H, Jarin TM, Bhuiyan T, Reza AW, Arefin MS. Intelligent Computing and Optimization. 2023. Chapter 19:181
    CrossRef