Published on in Vol 19, No 6 (2017): June
Journals
- 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 View
- 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 View
- Tran B, McIntyre R, Latkin C, Phan H, Vu G, Nguyen H, Gwee K, Ho C, Ho R. 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 View
- 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 View
- Kamiński M, Łoniewski I, Misera A, Marlicz W. 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 View
- 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 View
- 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) View
- 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 View
- Harb J, 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 View
- 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) View
- Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
- Cacheda F, Fernandez D, Novoa F, Carneiro V. Early Detection of Depression: Social Network Analysis and Random Forest Techniques. Journal of Medical Internet Research 2019;21(6):e12554 View
- 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 View
- 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 View
- Alonso S, de la Torre-Díez I, Hamrioui S, López-Coronado M, Barreno D, Nozaleda L, Franco M. Data Mining Algorithms and Techniques in Mental Health: A Systematic Review. Journal of Medical Systems 2018;42(9) View
- Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
- Chancellor S, Baumer E, De Choudhury M. Who is the "Human" in Human-Centered Machine Learning. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
- 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 View
- Wang L, Liu H, Zhou T. A Sequential Emotion Approach for Diagnosing Mental Disorder on Social Media. Applied Sciences 2020;10(5):1647 View
- Leis A, Ronzano F, Mayer M, Furlong L, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. Journal of Medical Internet Research 2019;21(6):e14199 View
- 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 View
- Su C, Xu Z, Pathak J, Wang F. Deep learning in mental health outcome research: a scoping review. Translational Psychiatry 2020;10(1) View
- Ahmad A, Murad H. 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 View
- Schmidt S, 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 View
- Kumar A, Sharma A, Arora A. Anxious Depression Prediction in Real-time Social Data. SSRN Electronic Journal 2019 View
- 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 View
- 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 View
- Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
- Zhang Y, Zhang O, Li R, Flores A, Selek S, Zhang X, Xu H. Psychiatric stressor recognition from clinical notes to reveal association with suicide. Health Informatics Journal 2019;25(4):1846 View
- Yoo D, Birnbaum M, Van Meter A, Ali A, Arenare E, Abowd G, 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 View
- Fernández-Sotos P, Fernández-Caballero A, González P, Aparicio A, Martínez-Gras I, Torio I, Dompablo M, García-Fernández L, Santos J, 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 View
- 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) View
- 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 View
- Naslund J, Gonsalves P, Gruebner O, Pendse S, Smith S, 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 View
- Walsh C, Chaudhry B, Dua P, Goodman K, 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 View
- Mavragani A, Ochoa G, Tsagarakis K. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270 View
- Hilty D. Research Directions for Clinical Care and Technology: the JTIBS Research Column. Journal of Technology in Behavioral Science 2020;5(4):303 View
- Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1) View
- 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 View
- 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 View
- Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1 View
- 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 View
- 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 View
- Leis A, Ronzano F, Mayer M, Furlong L, 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 View
- 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 View
- 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 View
- Tao X, Chi O, Delaney P, Li L, Huang J. Detecting depression using an ensemble classifier based on Quality of Life scales. Brain Informatics 2021;8(1) View
- 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 View
- Ignatiev N, Stankevich M, Smirnov I, Kiselnikova N, Grigoriev O. Predicting Personal Traits from Vkontakte Images. Scientific and Technical Information Processing 2020;47(6):383 View
- 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 View
- Goering S, Klein E, Specker Sullivan L, Wexler A, Agüera y Arcas B, Bi G, Carmena J, Fins J, Friesen P, Gallant J, Huggins J, 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 View
- Le Glaz A, Haralambous Y, Kim-Dufor D, Lenca P, Billot R, Ryan T, 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 View
- 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 View
- 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 View
- 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 View
- Moreno M, 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 View
- Grzenda A, Kraguljac N, McDonald W, Nemeroff C, Torous J, Alpert J, Rodriguez C, Widge A. Evaluating the Machine Learning Literature: A Primer and User’s Guide for Psychiatrists. American Journal of Psychiatry 2021;178(8):715 View
- 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 View
- Wongkoblap A, Vadillo M, 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 View
- 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 View
- Amusa L, Twinomurinzi H, Okonkwo C. Modeling COVID-19 incidence with Google Trends. Frontiers in Research Metrics and Analytics 2022;7 View
- Hänsel K, Lin I, Sobolev M, Muscat W, Yum-Chan S, De Choudhury M, Kane J, Birnbaum M. Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders. Frontiers in Psychiatry 2021;12 View
- Bhattacharya M, Roy S, Chattopadhyay S, Das A, 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) View
- Schindler M, Domahidi E. The computational turn in online mental health research: A systematic review. New Media & Society 2023;25(10):2781 View
- Skaik R, Inkpen D. Predicting Depression in Canada by Automatic Filling of Beck’s Depression Inventory Questionnaire. IEEE Access 2022;10:102033 View
- Erturk S, Hudson G, Jansli S, Morris D, Odoi C, 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 View
- 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 View
- 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 View
- Jang J, Yoon S, Son G, Kang M, Choeh J, Choi K. Predicting Personality and Psychological Distress Using Natural Language Processing: A Study Protocol. Frontiers in Psychology 2022;13 View
- Baniata M, 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 View
- 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 View
- Xu X. Detecting Suicide Ideation in the Online Environment: A Survey of Methods and Challenges. IEEE Transactions on Computational Social Systems 2022;9(3):679 View
- 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 View
- Ulep A, Deshpande A, Beukes E, 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 View
- Safa R, Bayat P, Moghtader L. Automatic detection of depression symptoms in twitter using multimodal analysis. The Journal of Supercomputing 2022;78(4):4709 View
- Zhenhua H, Nan W. Empirical analysis based on the related factors of college students’ mental health problems. Frontiers in Psychology 2022;13 View
- 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 View
- 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 View
- 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 View
- Acosta J, Chandra A, Yeung D, Nelson C, Qureshi N, Blagg T, Martin L. What Data Should Be Included in a Modern Public Health Data System. Big Data 2022;10(S1):S9 View
- 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 View
- 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 View
- Taghvaei N, Masoumi B, Keyvanpour M. Analytical framework for mental health feature extraction methods in social networks. Intelligent Decision Technologies 2021;15(3):343 View
- Ma J, O’Riordan M, Mazzer K, Batterham P, Bradford S, Kõlves K, Titov N, Klein B, Rickwood D. 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 View
- Suarez-Lledo V, Mejova Y. Behavior Change Around an Online Health Awareness Campaign: A Causal Impact Study. Frontiers in Public Health 2022;10 View
- 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 View
- 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) View
- Amusa L, Twinomurinzi H, Phalane E, Phaswana-Mafuya R. Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda. Interactive Journal of Medical Research 2023;12:e42292 View
- FOWLER J, MADAN A, BRUCE C, FRUEH B, KASH B, JONES S, SASANGOHAR F. Improving Psychiatric Care Through Integrated Digital Technologies. Journal of Psychiatric Practice 2021;27(2):92 View
- Rutter L, 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 View
- Hu M, Benson R, Chen A, 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 View
- 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 View
- Diniz E, Fontenele J, de Oliveira A, Bastos V, Teixeira S, Rabêlo R, Calçada D, dos Santos R, de Oliveira A, Teles A. Boamente: A Natural Language Processing-Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation. Healthcare 2022;10(4):698 View
- 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 View
- 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 View
- Figuerêdo J, Maia A, Calumby R. Early depression detection in social media based on deep learning and underlying emotions. Online Social Networks and Media 2022;31:100225 View
- Iyortsuun N, 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 View
- 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 View
- 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 View
- 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 View
- Varanasi L, Dasari C. Deep Learning based techniques for Neuro-degenerative disorders detection. Engineering Applications of Artificial Intelligence 2023;122:106103 View
- Lin Y, Alshehri Y, Alnazzawi N, Abid M, Khan S, Jabeen F, Elwarfalli I. RETRACTED ARTICLE: Social media analytics and their applications to evaluate an activity in online health interventions using CRITIC and TOPSIS techniques. Soft Computing 2024;28(S2):481 View
- Di Cara N, Maggio V, Davis O, Haworth C. Methodologies for Monitoring Mental Health on Twitter: Systematic Review. Journal of Medical Internet Research 2023;25:e42734 View
- Cascalheira C, Flinn R, Zhao Y, Klooster D, Laprade D, Hamdi S, Scheer J, Gonzalez A, Lund E, Gomez I, 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 View
- Guiñazú M, González M, Ruiz R, Hernández V, Diez S, Velásquez J. 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 View
- Khorasani M, Kahani M, Yazdi S, 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 View
- 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 View
- 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 View
- Kolasa K, Admassu B, Hołownia-Voloskova M, Kędzior K, Poirrier J, Perni S. Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(1):63 View
- Nghiem J, Adler D, 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 View
- Villa-Pérez M, Trejo L, Moin M, Stroulia E. Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach. IEEE Access 2023;11:128135 View
- 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 View
- Shahzadi I, Fuzail M, Aslam D. Deep Emotions Recognition from Facial Expressions using Deep Learning. VFAST Transactions on Software Engineering 2023;11(2):58 View
- Jin Z, Su R, Liu Y, Duan C. A psychological evaluation method incorporating noisy label correction mechanism. Soft Computing 2024;28(11-12):7395 View
- 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 View
- Nicomedes C, Sasot C, Santos G, Distor J, Marzan P, Manda A. A Convergent-mixed Method Study on the Attitudes and Perception Towards Suicide Memes and Suicidality. The Open Psychology Journal 2024;17(1) View
- Bayram H, Öztürkcan A. Türkiye’de Popüler Diyet Terimlerine Gösterilen İlginin İncelenmesi: Bir İnfodemiyoloji Çalışması. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 2024;6(1):120 View
- Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View
- Wang Y. The Construction of Teaching Reform Mode of University students’ Psychological health instruction Course under the Perspective of New Media. Applied Mathematics and Nonlinear Sciences 2024;9(1) View
- Alomoto W, Niñerola A, Sánchez-Rebull M. Evaluating the social return on investment of a mental health disorders club: a case study. Social Enterprise Journal 2024 View
- Evangelou S, Michanetzi E, Xenos M. Exploring the impact of negative online feedback on well-being: A comprehensive analysis incorporating Big-Five personality traits and physiological responses. Computers in Human Behavior Reports 2024;15:100457 View
- Gautam R, Sharma M. Computational Approaches for Anxiety and Depression: A Meta- Analytical Perspective. ICST Transactions on Scalable Information Systems 2024;11 View
- Garcia J, Tayo L. Codes between Poles: Linking Transcriptomic Insights into the Neurobiology of Bipolar Disorder. Biology 2024;13(10):787 View
- Akhund T, Ajabani D, Shaikh Z, Elrashidi A, Nureldeen W, Bhatti M, Sarker M. A comprehensive exploration of human communal media interaction and its evolving impact on psychological health across demographics and time. PeerJ Computer Science 2024;10:e2398 View
- Arık E, İnce M, Koçak M, Bilişli Y, Karataş E, Akgün H, Aşlakçı F. Communication dynamics and media interactions of young adults who have attempted suicide: a qualitative thematic analysis. Frontiers in Psychology 2024;15 View
- Kaushik P, Bansal K, Kumar Y, Changela A. Mental Disorders Prognosis and Predictions Using Artificial Intelligence Techniques: a Comprehensive Study. SN Computer Science 2024;5(8) View
- Ammerman B, McClure K, Law K, O’Loughlin C, Jacobucci R. Online disclosure of suicide method: What can online posts tell us about suicidal planning?. Journal of Psychiatric Research 2024 View
- Smrke U, Mlakar I, Rehberger A, Žužek L, Plohl N. Decoding anxiety: A scoping review of observable cues. DIGITAL HEALTH 2024;10 View
- Chandrasekaran R, Kotaki S, Nagaraja A. Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study. npj Mental Health Research 2024;3(1) View
Books/Policy Documents
- de Araújo Novaes M, Basu A. Fundamentals of Telemedicine and Telehealth. View
- Baba T, Baba K, Ikeda D. Advanced Information Networking and Applications. View
- Teles A, Barros F, Rodrigues I, Barbosa A, Silva F, Coutinho L, Teixeira S. IoT and ICT for Healthcare Applications. View
- . Fundamentals of Telemedicine and Telehealth. View
- Valdez R, Keim-Malpass J. Social Web and Health Research. View
- Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
- Jain P, Quadri S. Intelligent Data Communication Technologies and Internet of Things. View
- Bhunia G, Shit P. Spatial Modeling in Forest Resources Management. View
- Arora S, Malik A, Khurana P, Batra I. Advanced Informatics for Computing Research. View
- Gupta S, Mehndiratta N, Sinha S, Chaturvedi S, Singla M. Biomedical Data Mining for Information Retrieval. View
- Tenenbaum E, Ranallo P, Hastings J. Mental Health Informatics. View
- Hussain Z, Borah M. Deep Learning for Social Media Data Analytics. View
- Andavar V, Gupta S. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies. View
- Kern M, Armstrong P. Encyclopedia of Mental Health. View
- Wajnerman A, López-Silva P. Protecting the Mind. View
- Ingram W, Khanna R, Weston C. Mental Health Informatics. View
- Cachia A, Camilleri V, Dingli A, Galea M, Grech P, Sammut A, Scerri J. Ethical Implications of Reshaping Healthcare With Emerging Technologies. View
- Hilty D, Armstrong C, Edwards-Stewart A, Luxton D. Digital Therapeutics for Mental Health and Addiction. View
- Smirnov I, Stankevich M, Kuznetsova Y, Suvorova M, Larionov D, Nikitina E, Savelov M, Grigoriev O. Artificial Intelligence. View
- Mubashir A, Shafique N, Bibi E. Panic Buying and Environmental Disasters. View
- Arora S, Malik A. Computational Intelligence for Engineering and Management Applications. View
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