Machine learning and natural language processing in mental health: systematic review

Le Glaz, Aziliz, Haralambous, Yannis, Kim-Dufor, Deok-Hee, Lenca, Philippe, Billot, Romain, Ryan, Taylor C, Marsh, Jonathan, DeVylder, Jordan +3 more·2021·Journal of Medical Internet Research

Cited by (577)

Items 201–300 of 577

  1. A procedural overview of why, when and how to use machine learning for psychiatry
    Christopher Lucasius, Mai Ali, Tanmay Patel, Deepa Kundur, Péter Szatmári, John Strauss, Marco Battaglia · 2025 · Nature Mental Health
  2. The Relative Review of Machine Learning in Natural Language Processing (NLP)
    Harsh Koushal, Rimpal Kaur, Chhinder Kaur · 2025 · International Journal of Scientific Research in Computer Science Engineering and Information Technology
  3. Decision-making on an AI-supported youth mental health app: A multilogue among ethicists, social scientists, AI-researchers, biomedical engineers, young experiential experts, and psychiatrists
    Dorothee Horstkötter, Mariël Kanne, Simona Karbouniaris, Noussair Lazrak, Maria Bulgheroni, Ella Sheltawy, Laura Giani, Margherita La Gamba, Esmeralda Ruiz Pujadas, Marina Camacho et al. · 2025 · Journal of Responsible Technology
  4. The role of AI-driven art therapy in supporting autism, mental health, and emotional well-being: An umbrella review
    Sumaiya Yeasmin, Sanchita Saha, Moustaq Karim Khan Rony, Mst Masuma Akter Semi, Srabani Das, Rukshanda Rahman, Rayhan Khan, Afia Fairooz Tasnim, A. S. M. Sanwar Hosen · 2025 · Digital Health
  5. Digital speech biomarkers for assessing cognitive decline across neurodegenerative conditions
    Daniel Kováč, Lubomira Novakova, Jiří Mekyska, Krystof Novotny, Luboš Brabenec, Patrícia Klobušiaková, Irena Rektorová · 2025 · Computers in Biology and Medicine
  6. Artificial Intelligence, Machine Learning, and Natural Language Processing
    Kimberly A. Shoenbill, Suranga Nath Kasthurirathne, Eneida A. Mendonça · 2023 · Springer eBooks
  7. Physics-Informed Neural Network for Solution of Nonlinear Differential Equations
    Ali Fallah, M.M. Aghdam · 2024 · Springer eBooks
  8. Natural language processing in the intensive care unit: A scoping review
    Julia K. Pilowsky, Jae-Won Choi, Aldo F. Saavedra, Maysaa Daher, Nhi Nguyen, Linda Williams, Sarah L. Jones · 2024 · Critical Care and Resuscitation
  9. Analyzing Dropout in Alcohol Recovery Programs: A Machine Learning Approach
    Adele Collin, Adrián Ayuso-Muñoz, Paloma Tejera Nevado, Lucia Prieto Santamaría, Antonio Verdejo-García, Carmen Díaz, Fermín Fernández‐Calderón, Natalia Albein‐Urios, Oscar Martin Lozano, Alejandro Rodríguez‐González · 2024 · Journal of Clinical Medicine
  10. Evaluating the Clinical Validity and Reliability of Artificial Intelligence-Enabled Diagnostic Tools in Neuropsychiatric Disorders
    Satneet Singh, Jade L Gambill, Mary Attalla, Rida Fatima, Amna R Gill, Humza Faisal Siddiqui · 2024 · Cureus
  11. Artificial Intelligence-Based Technological Advancements in Clinical Healthcare Applications: A Systematic Review
    Shivansh Mishra, Mohamed Abbas, Kanak Jindal, Jyotindra Narayan, Santosha K. Dwivedy · 2022 · Design science and innovation
  12. Innovative Digital Phenotyping Method to Assess Body Representations in Autistic Adults: A Perspective on Multisensor Evaluation
    Joanna Mourad, Kim Daniels, Katleen Bogaerts, Martin Desseilles, Bruno Bonnechère · 2024 · Sensors
  13. Clustering digital mental health perceptions using transformer-based models
    Ayodeji Ibitoye, Oladosu Oyebisi Oladimeji, Oluwaseyi F. Afe · 2025 · Franklin Open
  14. Predicting anorexia nervosa treatment efficacy: an explainable machine learning approach
    Giulia Brizzi, Chiara Pupillo, Elena Sajno, Margherita Boltri, Federico Brusa, Federica Scarpina, Leonardo Mendolicchio, Giuseppe Riva · 2025 · Journal of Eating Disorders
  15. Deep learning-based detection of depression by fusing auditory, visual and textual clues
    Chenyang Xu, Yangbin Chen, Yanbao Tao, Wanqing Xie, Xiaofeng Liu, Yunhan Lin, Chunfeng Liang, Fan Du, Zhixiong Lin, Chuan Shi · 2025 · Journal of Affective Disorders
  16. Comparative Analysis of Machine Learning Techniques for Mental Health Prediction
    Naveen Paul E, Sujitha Juliet · 2023 · International Conference on Communication and Electronics Systems (ICCES)
  17. Development of intelligent system based on synthesis of affective signals and deep neural networks to foster mental health of the Indian virtual community
    Mandeep Kaur Arora, Jaspreet Singh, Anju Singh · 2024 · Social Network Analysis and Mining
  18. The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing
    Deborah Chiavi, Christina Haag, Andrew Chan, Christian P. Kamm, Chloé Sieber, Mina Stanikić, Stephanie Rodgers, Caroline Pot, Jürg Kesselring, Anke Salmen et al. · 2022 · JMIR Medical Informatics
  19. Synthesis of Affective Expressions and Artificial Intelligence to Discover Mental Distress in Online Community
    Anju Singh, Jaspreet Singh · 2022 · International Journal of Mental Health and Addiction
  20. An Ensemble Technique to Analyse Mental Health of Workforce in the Corporate Sector
    Abhinav Lohia, Abhinav Ranjith, Abhinav Sachdeva, Aruna Bhat · 2023 · International Conference on Intelligent Computing and Control Systems (ICICCS)
  21. Analyzing Textual Data for Mental Health Assessment: Natural Language Processing for Depression and Anxiety
    Krishna Kant Dixit, Sumit Pundir, Anurag Shrivastava, C Praveen Kumar, Arun Pratap Srivastava, Pankaj Singh · 2023 · IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
  22. Clinical Artificial Intelligence
    Matthew B. A. McDermott, Bret Nestor, Peter Szolovits · 2022 · Clinics in Laboratory Medicine
  23. Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work
    Ishita Kapur, Reeve S. Kennedy, Christy Hickman · 2025 · Journal of Evidence-Based Social Work
  24. The application of large language models in qualitative nursing research: A scoping review.
    Ting-Ting Zhou, Meng-Yao Xing, Yue Hu, Jun Liang, Qi Ren, Ye-Qin Yang, Lei Ye · 2025 · Nursing Outlook
  25. Deep linguistic analysis for depression in social media using RoBERTa and CNN
    Kawthar Salameh, Tasneem Suboh, Rawan ElAmayreh, Bushra Alhijawi · 2025 · International Journal of Speech Technology
  26. Effect of AI-Based Natural Language Feedback on Engagement and Clinical Outcomes in Fully Self-Guided Internet-Based Cognitive Behavioral Therapy for Depression: 3-Arm Randomized Controlled Trial
    Mirai So, Yoichi Sekizawa, Sora Hashimoto, Masami Kashimura, Hajime Yamakage, Norio Watanabe · 2025 · Journal of Medical Internet Research
  27. Cybersecurity Workforce Readiness Recommender System Using NLP
    Ramoni O. Lasisi · 2023 · Lecture notes in networks and systems
  28. Adaptive Mental Health And Mood Uplifting Chatbot
    Taha Siddiqui, Arun Sharma, Mamta Arora · 2023 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  29. EADR: an ensemble learning method for detecting adverse drug reactions from twitter
    Mohammad Reza Keyvanpour, Behnaz Pourebrahim, Soheila Mehrmolaei · 2024 · Social Network Analysis and Mining
  30. AI-Powered Mental Health Diagnosis: A Comprehensive Exploration of Machine and Deep Learning Techniques
    M. S. Supriya, Antham Aniket, Rakshitha N. M, J Aakanksha, Kenith Peter · 2024 · International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
  31. Exploring Opportunities to Augment Psychotherapy with Language Models
    Yuewen Yang, Thalia Viranda, Anna Van Meter, Tanzeem Choudhury, Daniel A. Adler · 2024 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
  32. Machine Learning and Artificial Intelligence in Suicide Prevention: A Bibliometric Analysis of Emerging Trends and Implications for Nursing
    Erman Yıldız · 2025 · Issues in Mental Health Nursing
  33. Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models
    Deok-Hee Kim-Dufor, Michel Walter, Marie‐Odile Krebs, Yannis Haralambous, Philippe Lenca, Christophe Lemey · 2025 · Frontiers in Psychiatry
  34. Mental Health and Relations: Detection of Mental Health Disorders Related to Relationship Issues Through Reddit Posts
    Leela Prasad Gorrepati, Raj Sonani, Venkatesh Velugubantla, Ravi Teja Potla, MSVPJ Sathvik · 2025 · International World Wide Web Conference (WWW)
  35. A Comparison of Web Services for Sentiment Analysis in Digital Mental Health Interventions
    Toh Hsiang Benny Tan, Sufang Lim, Yang Qiu, Chunyan Miao · 2022 · Lecture notes in computer science
  36. Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum
    Ellie Fan Yang, Rachel Kornfield, Yan Liu, Ming‐Yuan Chih, Prathusha K Sarma, David H. Gustafson, John Joseph Curtin, Dhavan V. Shah · 2023 · Journal of Medical Internet Research
  37. Investigating the Readability and Linguistic, Psychological, and Emotional Characteristics of Digital Dementia Information Written in the English Language: Multitrait-Multimethod Text Analysis
    Margi Engineer, Sushant Kot, Emma Dixon · 2023 · JMIR Formative Research
  38. Uncovering Trauma in Genocide Tribunals
    Miriam Schirmer, Isaac Misael Olguín Nolasco, Edoardo Mosca, Shanshan Xu, Jürgen Pfeffer · 2023 · International Conference on Artificial Intelligence and Law
  39. What can we learn from a Chinese social media used by glaucoma patients?
    Junxia Fu, Junrui Yang, Qiuman Li, Danqing Huang, Hongyang Yang, Xiaoling Xie, Huaxin Xu, Mingzhi Zhang, Ce Zheng · 2023 · BMC Ophthalmology
  40. IMPLEMENTATION OF SUPPORT VECTOR MACHINE METHOD IN CLASSIFYING SCHOOL LIBRARY BOOKS WITH COMBINATION OF TF-IDF AND WORD2VEC
    Salsabila Nida Cahyani, Galuh Wilujeng Saraswati · 2023 · Jurnal Teknik Informatika (Jutif)
  41. Unveiling Mental Stress: Examining the Impact on College Students' Well-being Using Machine Learning Based Solutions
    Kanak Kumar, Anshul Verma, Pradeepika Verma, Suman Lata Tripathi · 2024 · IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON)
  42. Quantitative natural language processing markers of psychoactive drug effects: A pre-registered systematic review
    Sachin Ahuja, Farida Zaher, Lena K. Palaniyappan · 2025 · Journal of Psychopharmacology
  43. Are Experts Needed? On Human Evaluation of Counselling Reflection Generation
    Zixiu Wu, Simone Balloccu, Ehud Reiter, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  44. Comparative Analysis of Mental Health disorder in Higher Education Students using Predictive Algorithms
    Aftab Ahmad Mir, Nithin Gladson G Jerome, Revelle Akshara, Sandhi Kranthi Reddy, Srikanta Kumar Mohapatra, Jayashree Mohanty · 2023 · International Conference on Applied Intelligence and Sustainable Computing (ICAISC)
  45. Strategic Formation of CEO Apologies: Emulating Post-Crisis Public Statements Through GPT-4
    Jeong-Ah Park, Hye-jin Kim · 2023 · Customer Needs and Solutions
  46. Systematic Reviews of Machine Learning in Healthcare: A Literature Review
    Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Ewa Hołownia-Voloskova, Katarzyna Joanna Kędzior, Jean‐Etienne Poirrier, Stefano Perni · 2023 · Research Square
  47. Editorial: AI approach to the psychiatric diagnosis and prediction
    Wen-Jing Gao, Long Lu, Xuntao Yin · 2024 · Frontiers in Psychiatry
  48. M.I.N.I.-KID interviews with adolescents: a corpus-based language analysis of adolescents with depressive disorders and the possibilities of continuation using Chat GPT
    Irina Jarvers, Angelika Ecker, Pia Donabauer, Katharina Kampa, Maximilian Weißenbacher, Daniel Schleicher, Stephanie Kandsperger, Romuald M. Brunner, Bernd Ludwig · 2024 · Frontiers in Psychiatry
  49. Enhancement of radial basis function model via quantum kernel estimation
    Xiaojian Zhou, Meng Zhang, Qi Cui, Ting Jiang · 2025 · Journal of Mathematical Analysis and Applications
  50. Prospects of machine learning applications in affective disorders
    Ekaterina Mosolova, A. Е. Alfimov, Elena G. Kostyukova, Sergey N Mosolov · 2025 · Digital Diagnostics
  51. Detecting Narcissistic Personality Disorder (NPD): A Hybrid Regex and NLP-Based AI Approach With Phase-Aware Classification
    Dhruv Patel, Anju P. Johnson · 2025 · IEEE Access
  52. Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods
    Chaofang Lei, Zhigang Chen, Chongyang Ma, Le Xie, Dahua Wu, Jianbei Chen, Jiaxu Chen · 2026 · Chinese Medicine
  53. Asking questions that are “close to the bone”: integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures
    Daniela Di Basilio, Lorraine King, Sarah Lloyd, Panayiotis Michael, Matthew Shardlow · 2024 · Frontiers in Digital Health
  54. Sentiment and emotion analysis using pretrained deep learning models
    Davidson Kwamivi Aidam, Ben‐Bright Benuwa, Stephen Opoku Oppong, Edward Nwiah · 2024 · Journal of Data Information and Management
  55. An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study
    John Novoa-Laurentiev, Mica Curtin-Bowen, Avery Pullman, Wenyu Song, Ania Syrowatka, Jin Chen, Michael Sainlaire, FRANK Y. CHANG, Krissy Gray, Purushottam Panta et al. · 2025 · JMIR Medical Informatics
  56. Bridging fair-aware artificial intelligence and co-creation for equitable mental healthcare
    Adela C. Timmons, Jacqueline B. Duong, Sierra N. Walters, Kayla E. Carta, Grace A. Jumonville, Alyssa S. Carrasco, Daniela Romero, Matthew W. Ahle, Jonathan S. Comer, Ishita P. Khurd et al. · 2025 · Nature Reviews Psychology
  57. Untargeted Code Authorship Evasion with Seq2Seq Transformation
    Soohyeon Choi, Rhongho Jang, DaeHun Nyang, Aziz Mohaisen · 2024 · Lecture notes in computer science
  58. Unveiling the Transformative Potential of AI-Generated Imagery in Enriching Mental Health Research
    Lucian Hadrian Milasan · 2024 · Qualitative Health Research
  59. Prediction of the End of a Romantic Relationship in Peruvian Youth and Adults: A Machine Learning Approach
    José Ventura‐León, Cristopher Lino‐Cruz, Andy Rick Sánchez‐Villena, Shirley Tocto‐Muñoz, Renzo Martinez‐Munive, Karim Talledo‐Sánchez, Kenia Casiano‐Valdivieso · 2024 · The Journal of General Psychology
  60. Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior
    Lauren E. McBride, Varsha D. Badal, Philip D. Harvey, Amy Elizabeth Pinkham, Ankit Aich, Natalie Parde, Colin A. Depp · 2025 · Journal of Psychiatric Research
  61. Zero-shot Emotion Annotation in Facial Images Using Large Multimodal Models: Benchmarking and Prospects for Multi-Class, Multi-Frame Approaches
    H. Zhang, Xinyi Fu · 2025 · International Workshop on Multimodal and Responsible Affective Computing (MRAC)
  62. Mental Health for Medical Students, what do we know today?
    Vaidehi Yogeswaran, Christo El Morr · 2022 · Procedia Computer Science
  63. A Systematic Review of Artificial Intelligence and Mental Health in the Context of Social Media
    Xing Chen, Yegin Genc · 2022 · Lecture notes in computer science
  64. Null-values imputation using different modification random forest algorithm
    Maad Mohsin Mijwil, Alaa Wagih Abdulqader, Sura Mazin Ali, Ahmed T. Sadiq · 2022 · IAES International Journal of Artificial Intelligence
  65. Machine learning methods revealed the roles of immune-metabolism related genes in immune infiltration, stemness, and prognosis of neuroblastoma
    Jianhua Mu, Jianan Gong, Peng Lin, Mengzhen Zhang, Kai Wu · 2023 · Cancer Biomarkers
  66. Natural Language as a Window into the Subjective Effects and Neurochemistry of Psychedelic Drugs
    E. Tagliazucchi · 2021 · Preprints.org
  67. Exploratory Study of Perceptions on Generative Artificial Intelligence Applications in Tutorial Action Within University Education
    Antonio Carrasco Rodríguez, Sofía Ángela Albero Verdú · 2025 · IGI Global eBooks
  68. Diagnostic report generation for macular diseases by natural language processing algorithms
    Xufeng Zhao, Chunshi Li, Jingyuan Yang, Xingwang Gu, Bing Li, Yuelin Wang, Bilei Zhang, Xirong Li, Jianchun Zhao, Jie Wang et al. · 2025 · British Journal of Ophthalmology
  69. Transforming social media text into predictive tools for depression through AI: A test-case study on the Beck Depression Inventory-II
    Federico Ravenda, Antonio Preti, Michele Poletti, Antonietta Mira, Fábio Crestani, Andrea Raballo · 2025 · PLOS Digital Health
  70. Different artificial neural networks for predicting burnout risk in Italian anesthesiologists
    Marco Cascella, Alessandro Simonini, Sergio Coluccia, Elena Giovanna Bignami, Gilberto Fiore, Emiliano Petrucci, Alessandro Vergallo, Giacomo Sollecchia, Franco Marinangeli, Roberto Pedone et al. · 2025 · Journal of Anesthesia Analgesia and Critical Care
  71. Physics-Informed Neural Network for Nonlinear Bending Analysis of Nano-Beams: A Systematic Hyperparameter Optimization
    Saba Sadat Mirsadeghi Esfahani, Ali Fallah, M.M. Aghdam · 2025 · Mathematical and Computational Applications
  72. Can artificial intelligence models provide reliable medical counselling to fertility patients?
    Idan Alcalay, Ariel Weissman, Hadas Ganer Herman, Avi Tsafrir, Matan Friedman, Eran Weiner, Raoul Orvieto, Nikolaos P. Polyzos, Michael Haim Dahan, Alex Polyakov et al. · 2025 · Reproductive BioMedicine Online
  73. Is Addiction Research Addicted to Artificial Intelligence ? Mapping the Intersection of Artificial Intelligence, Substance Use and Mental Health Through a Bibliometric Analysis
    Loïs Vanhée, Simone Scarpa · 2025 · Drug and Alcohol Review
  74. Using large language models as a scalable mental status evaluation technique
    Margot Wagner, Callum Stephenson, Jasleen Jagayat, Anchan Kumar, Amir Shirazi, Nazanin Alavi, Mohsen Omrani · 2025 · NPP—Digital Psychiatry and Neuroscience
  75. Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications
    Mahdi Ghorbankhani, Maryam Safara · 2025 · Artificial Intelligence in Medicine
  76. AI-Human synergy in single-session therapy: augmenting capacity for scalable mental health support
    Jasmine Joseph, Manesh Pai, Keigo Asai, Magdalena Turek · 2026 · Journal of Psychology and AI
  77. Wearable Sensors and Artificial Intelligence for Ecological Knee Osteoarthritis Assessment: Development and Feasibility of a Hybrid Digital Phenotyping Framework
    Jean Mapinduzi, Kim Daniels, Oyéné Kossi, Jonas Verbrugghe, Bruno Bonnechère · 2026 · Sensors
  78. Ideal Construction of Chatbot Based on Intelligent Depression Detection Techniques
    Xiao Huan Huang · 2022 · IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
  79. Identifying self-reported health-related problems in home-based rehabilitation of older patients after hip replacement in China: a machine learning study based on Omaha system theory
    Jing Chen, Fan He, Qian Wu, Li Wang, Xiaoxia Zhu, Yan Qi, Jialing Wu, Yan Shi · 2023 · BMC Medical Informatics and Decision Making
  80. Detecting Multiple Mental Health Disorders with Large Language Models
    Mehul Nanda, Diana Zaiu Inkpen, Aroldo Dargél · 2024 · International Conference on Information Visualisation (IV)
  81. Using machine learning methods to predict the outcome of psychological therapies for post-traumatic stress disorder: A systematic review
    James Tait, Stephen Kellett, Jaime Delgadillo · 2025 · Journal of Anxiety Disorders
  82. Artificial intelligence in cardiovascular practice
    Marci Farquhar-Snow, Amy E. Simone, Sheel V. Singh, Reamer L. Bushardt · 2025 · JAAPA
  83. Impact of Artificial Intelligence on SEO and Online Visibility
    Yassine Elkhatibi, Faouzi BOUSSEDRA · 2025 · IGI Global eBooks
  84. Psychological Disorders Are a Non-negligible Factor in Medical Aesthetic Disputes
    Chao Yan, Ruiling Wen, Nian Chen, Yijie Fan, Jinfu Li, Yuhuan Peng, Xiangyang Li, Xiangping Xu, Chiyu Jia, Yiping Wang · 2025 · Aesthetic Plastic Surgery
  85. Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis
    Yu Chi, Huai-yu Chen, Khushboo Maulikmihir Thaker · 2025 · JMIR Formative Research
  86. Leveraging AI for Mental Healthcare in Social Fintech: A Multilingual Evaluation of Large Language Models
    Nguyen Khanh Son, Arun Kumar Sangaiah, Luh Komang Monika Paramarthika, Vanathi Rajendran, Gui‐Bin Bian, Mohammed J. F. Alenazi · 2025 · IEEE Transactions on Computational Social Systems
  87. Feelings behind words: A systematic review on how effective IS NLP-based assessment for mental health diagnosis in human studies
    Eka Putri Yulianti, Yossie Susanti Eka Putri, Budi Anna Keliat, Achmad Nizar Hidayanto · 2025 · International Journal of Medical Informatics
  88. Predicting Patients' Satisfaction With Mental Health Drug Treatment Using Their Reviews: Unified Interchangeable Model Fusion Approach
    Yi Wang, Yide Yu, Yue Liu, Yan Ma, Patrick Cheong‐Iao Pang · 2023 · JMIR Mental Health
  89. An Efficient KNN Algorithm for the Mental Health Performance Assessment Using K-means Clustering
    Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang · 2024 · Lecture notes in electrical engineering
  90. SOK: Application of machine learning models in child and youth mental health decision-making
    Hirad Daneshvar, Omar Boursalie, Reza Samavi, Thomas E. Doyle, Laura Duncan, Paulo Pires, Roberto B. Sassi · 2024 · Elsevier eBooks
  91. Empowerment of Large Language Models in Psychological Counseling through Prompt Engineering
    Shanshan Huang, Fuxiang Fu, Ke Qiang Yang, Ke Zhang, Fan Yang · 2024 · IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI)
  92. Creative Artificial Intelligence Supports to FinOps
    Vinay Kandpal, Peterson K Ozili, P. Jeyanthi, Deepak Kumar Ranjan, Deep Chandra · 2025 · Emerald Group Publishing Limited eBooks
  93. Classifying Psychiatric Patients Using Machine Learning
    Hmmam M. Alrjoob, Raed Alazaidah, Radwan M. Batyha, Hayel Khafajeh, Esraa Abu Elsoud, Ala'a Saeb Al-Sherideh, Ali M. Elrashidi, Muhyeeddin Kamel Salman Alqaraleh, Waleed Amer · 2024 · International Arab Conference on Information Technology (ACIT)
  94. A Unified Training Process for Fake News Detection Based on Finetuned Bidirectional Encoder Representation from Transformers Model
    Vijay Srinivas Tida, Sonya Hsu, Xiali Hei · 2023 · Big Data
  95. Supervised Classification of Healthcare Text Data Based on Context-Defined Categories
    Sergio Bolívar, Alicia Nieto-Reyes, Heather Lynn Rogers · 2022 · Mathematics
  96. A Comprehensive Survey on Various Cancer Prediction Using Natural Language Processing Techniques
    K. Jabir, A. Thirumurthi Raja · 2022 · International Conference on Advanced Computing and Communication Systems (ICACCS)
  97. Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare
    Gregor Štiglic, Kasandra Musović, Lucija Gosak, Nino Fijačko, Primož Kocbek · 2022 · IEEE International Conference on Healthcare Informatics (ICHI)
  98. How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment
    Vivek Kumar, Giacomo Medda, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui, Gianni Fenu · 2023 · Communications in computer and information science
  99. Using Natural Language Processing as a Scalable Mental Status Evaluation Technique
    Margot Wagner, Jasleen Jagayat, Anchan Kumar, Amir Shirazi, Nazanin Alavi, Mohsen Omrani · 2023 · medRxiv
  100. Digital innovations for sustainable radiology: Reducing waste, emissions, and inefficiencies in imaging workflows
    Igor Toker, Sven Jansen, Julius Knoche, Daniel Lorenz · 2025 · Digital Health