SynthesisInternational journal of methods in psychiatric research2016
Text mining applications in psychiatry: a systematic literature review.
Synthesis in International journal of methods in psychiatric research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 6 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Linguistic markers for identifying post-traumatic stress disorder and associated symptoms: a systematic literature review.Journal of the American Medical Informatics Association : JAMIA · 2025Pooled it
- Transforming epilepsy research: A systematic review on natural language processing applications.Epilepsia · 2023Pooled it
- Natural language processing in clinical neuroscience and psychiatry: A review.Frontiers in psychiatry · 2022Pooled it
- Using Natural Language Processing to Measure and Improve Quality of Diabetes Care: A Systematic Review.Journal of diabetes science and technology · 2021Pooled it
- Towards text mining therapeutic change: A systematic review of text-based methods for Therapeutic Change Process Research.PloS one · 2019Pooled it
- Text mining applications in psychiatry: a systematic literature review.International journal of methods in psychiatric research · 2016Pooled it
- Secondary benefits of residential treatment camp for parents of adolescents with problematic internet use.PCN reports : psychiatry and clinical neurosciences · 2026Article
- Private garden uses and associated mental well-being benefits during the first UK Covid-19 lockdown - a social media investigation.PloS one · 2026Article
- Toward the automation of family semantic grids: a pilot exploration of text mining for evidence-informed systemic-relational psychotherapy.Frontiers in child and adolescent psychiatry · 2026Article
- Exploring trauma recovery in nurses: a text mining and thematic analysis based on Swanson's theory of caring.BMC nursing · 2025Article
- Text mining of outpatient narrative notes to predict the risk of psychiatric hospitalization.Translational psychiatry · 2025Article
- Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences.Journal of medical Internet research · 2024Article
- The Impact of Collaborative Documentation on Person-Centered Care: Textual Analysis of Clinical Notes.JMIR medical informatics · 2024Article
- Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.Journal of medical Internet research · 2024Article
- Predicting which patients with cancer will see a psychiatrist or counsellor from their initial oncology consultation document using natural language processing.Communications medicine · 2024Article
- Large Language Models in Neurology Research and Future Practice.Neurology · 2023Article
- Finding the Best Match - a Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions.Journal of healthcare informatics research · 2023Article
- Using patient comments from a standardised experience survey to investigate their perceptions and prioritise improvement actions: a thematic and syntactic analysis.BMC health services research · 2023Article
- Lexical stability of psychiatric clinical notes from electronic health records over a decade.Acta neuropsychiatrica · 2023Article
- A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.Annual review of biomedical data science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The expansion of biomedical literature is creating the need for efficient tools to keep pace with increasing volumes of information. Text mining (TM) approaches are becoming essential to facilitate the automated extraction of useful biomedical information from unstructured text. We reviewed the applications of TM in psychiatry, and explored its advantages and limitations. A systematic review of the literature was carried out using the CINAHL, Medline, EMBASE, PsycINFO and Cochrane databases. In this review, 1103 papers were screened, and 38 were included as applications of TM in psychiatric research. Using TM and content analysis, we identified four major areas of application: (1) Psychopathology (i.e. observational studies focusing on mental illnesses) (2) the Patient perspective (i.e. patients' thoughts and opinions), (3) Medical records (i.e. safety issues, quality of care and description of treatments), and (4) Medical literature (i.e. identification of new scientific information in the literature). The information sources were qualitative studies, Internet postings, medical records and biomedical literature. Our work demonstrates that TM can contribute to complex research tasks in psychiatry. We discuss the benefits, limits, and further applications of this tool in the future. Copyright © 2015 John Wiley & Sons, Ltd.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.