• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 214 matches

• 2023
• 
  Francisco Lepe Salazar, Sarita Salgado-Torres:
  Multiple Composite Scenarios: A Game-Based Methodology for the Prevention of Mental Disorders. Entertain. Comput. 44: 100519 (2023)
• 
  Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
  Detecting Mental Disorders in Social Media Through Emotional Patterns - The Case of Anorexia and Depression. IEEE Trans. Affect. Comput. 14(1): 211-222 (2023)
• 
  Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan:
  Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Trans. Biomed. Eng. 70(4): 1137-1149 (2023)
• 
  Kun Qian, Björn W. Schuller, Xiaohong Guan, Bin Hu:
  Intelligent Music Intervention for Mental Disorders: Insights and Perspectives. IEEE Trans. Comput. Soc. Syst. 10(1): 2-9 (2023)
• 
  Joana Câmara, Rute Ferreira, Liliana Teixeira, Joana Nóbrega, Carina Romeira, Sergi Bermúdez i Badia, Ana Lucia Faria:
  Efficacy of adaptive cognitive training through desktop virtual reality and paper-and-pencil in the treatment of mental and behavioral disorders. Virtual Real. 27(1): 291-306 (2023)
• 
  Ruixuan Dai, Thomas George Kannampallil, Seunghwan Kim, Vera Thornton, Laura J. Bierut, Chenyang Lu:
  Detecting Mental Disorders with Wearables: A Large Cohort Study. IoTDI 2023: 39-51
• 
  Miryam Elizabeth Villa-Pérez:
  Twitter Dataset for Mental Disorders Detection. IEEE DataPort, 2023 
• 
  (Withdrawn) Classifying Mental-Disorders through Clinicians Subjective Approach based on Three-way Decision. CoRR abs/2301.03351 (2023)
• 2022
• 
  Mariam A. Sheha, Mai S. Mabrouk, Amr A. Sharawy:
  Feature Engineering: Toward Identification of Symptom Clusters of Mental Disorders. IEEE Access 10: 134136-134156 (2022)
• 
  Manuel J. Rivera, Miguel A. Teruel, Alejandro Maté, Juan Trujillo:
  Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study. Artif. Intell. Rev. 55(2): 1209-1251 (2022)
• 
  Jiacheng Pan, Haocai Lin, Yihong Dong, Yu Wang, Yunxin Ji:
  MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder. Comput. Biol. Medicine 148: 105823 (2022)
• 
  Julia Brailovskaia, Julius Meier-Faust, Holger Schillack, Jürgen Margraf:
  A two-week gaming abstinence reduces Internet Gaming Disorder and improves mental health: An experimental longitudinal intervention study. Comput. Hum. Behav. 134: 107334 (2022)
• 
  Jaiteg Singh, Mir Aamir Hamid:
  Cognitive Computing in Mental Healthcare: a Review of Methods and Technologies for Detection of Mental Disorders. Cogn. Comput. 14(6): 2169-2186 (2022)
• 
  Patrick Dülsen, Katja Barck, Anne Daubmann, Alexandra Höller, Jan Zeidler, Reinhold Kilian, Silke Wiegand-Grefe, Harald Baumeister:
  Clinical- and Cost Effectiveness of a Guided Internet-Based Intervention for Children (12-18 Years) of Parents With Mental Disorders (iCHIMPS): Study Protocol of a Multicentered Cluster-Randomized Controlled Trial. Frontiers Digit. Health 4: 816412 (2022)
• 
  Amy Rusch, Isabel Carley, Pratiksha Badola, Celeste Liebrecht, Melvin McInnis, Kelly A. Ryan, Shawna N. Smith:
  Digital mental health interventions for chronic serious mental illness: Findings from a qualitative study on usability and scale-up of the Life Goals app for bipolar disorder. Frontiers Digit. Health 4 (2022)
• 
  Brent D. Winslow, Rebecca Kwasinski, Jeffrey Hullfish, Mitchell Ruble, Adam Lynch, Timothy Rogers, Debra Nofziger, William Brim, Craig Woodworth:
  Automated stress detection using mobile application and wearable sensors improves symptoms of mental health disorders in military personnel. Frontiers Digit. Health 4 (2022)
• 
  Ágnes Karolina Bakk:
  Representing mental disorders with virtual reality applications: Designing for multimodality and complex participation. Frontiers Virtual Real. 3 (2022)
• 
  Oluwashola David Adeniji, Samuel Oladele Adeyemi, Sunday Adeola Ajagbe:
  An Improved Bagging Ensemble in Predicting Mental Disorder using Hybridized Random Forest - Artificial Neural Network Model. Informatica (Slovenia) 46(4) (2022)
• 
  Esteban A. Ríssola, Mohammad Aliannejadi, Fabio Crestani:
  Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation. Inf. Process. Manag. 59(3): 102890 (2022)
• 
  Emanuele Tauro, Alessandra Gorini, Chiara Caglio, Paola Gabanelli, Enrico Gianluca Caiani:
  COVID-19 and mental disorders in healthcare Personnel: A novel framework to develop Personas from an online survey. J. Biomed. Informatics 126: 103993 (2022)
• 
  Kai Li, Chenyue Jiao, Cassidy R. Sugimoto, Vincent Larivière:
  Versioning boundary objects: the citation profile of the Diagnostic and Statistical Manual for Mental Disorders (DSM). J. Documentation 78(4): 871-889 (2022)
• 
  Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
  Approaching what and how people with mental disorders communicate in social media-Introducing a multi-channel representation. Neural Comput. Appl. 34(22): 20149-20164 (2022)
• 
  Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria:
  Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput. Appl. 34(13): 10309-10319 (2022)
• 
  Alaa A. Abd-Alrazaq, Dari AlHuwail, Jens Schneider, Carla T. Toro, Arfan Ahmed, Mahmood Alzubaidi, Mohannad Alajlani, Mowafa S. Househ:
  The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review. npj Digit. Medicine 5 (2022)
• 
  Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
  Information fusion for mental disorders detection: multimodal BERT against fusioning multiple BERTs. Proces. del Leng. Natural 69: 27-38 (2022)
• 
  Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha:
  MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks. ACM Trans. Embed. Comput. Syst. 21(6): 81:1-81:22 (2022)
• 
  Yixue Hao, Zaiyang Tang, Bander A. Alzahrani, Reem Alotaibi, Reem Alharthi, Miaomiao Zhao, Arif Mahmood:
  An End-to-End Human Abnormal Behavior Recognition Framework for Crowds With Mentally Disordered Individuals. IEEE J. Biomed. Health Informatics 26(8): 3618-3625 (2022)
• 
  Tianqi Zhao, Ming Kong, Kun Kuang, Zhengxing Huang, Qiang Zhu, Fei Wu:
  Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis. CICAI (2) 2022: 362-374
• 
  Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny:
  Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns. DSAA 2022: 1-10
• 
  Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu:
  Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media. EMNLP 2022: 9970-9985

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