Research graph
References from An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness. Local targets link to admitted publications; unresolved targets remain external evidence.
Learning for personalized medicine: a comprehensive review from a deep learning perspective
10.1109/rbme.2018.2864254 · 2018 · External reference
10.1016/j.cmpb.2022.106874
10.1016/j.cmpb.2022.106874 · External reference
Predicting the onset of psychosis in patients at clinical high risk: practical guide to probabilistic prognostic reasoning
2016 · External reference
10.1146/annurev-clinpsy-032816-045037
10.1146/annurev-clinpsy-032816-045037 · External reference
Evidence-based strategies for treatment personalization: a review
10.1016/j.cbpra.2021.10.004 · 2022 · External reference
Toward a dynamic model of psychological assessment: implications for personalized care
10.1037/ccp0000026 · 2015 · External reference
Quantifying the global burden of mental disorders and their economic value
10.1016/j.eclinm.2022.101675 · 2022 · External reference
Economic burden of schizophrenia: the European situation. A scientific literature review
10.1093/eurpub/cku166.129 · 2014 · External reference
Cost of disorders of the brain in Spain
10.1371/journal.pone.0105471 · 2014 · External reference
Cognitive therapy for people with schizophrenia spectrum disorders not taking antipsychotic drugs: a single-blind randomised controlled trial
10.1016/s0140-6736(13)62246-1 · 2014 · External reference
Is metacognitive training for psychosis effective?
10.1586/14737175.2016.1135737 · 2016 · External reference
Metacognitive training for psychosis (MCT): past, present, and future
10.1007/s00406-022-01394-9 · 2023 · External reference
Metakognitives training für psychose
2025 · External reference
Reducing self-stigma in psychosis: a systematic review and meta-analysis of psychological interventions
10.1016/j.psychres.2024.116262 · 2024 · External reference
Metacognitive training for psychosis (MCT): a systematic meta-review of its effectiveness
10.1038/s41398-025-03344-0 · 2025 · External reference
Efficacy of metacognitive training in a Chilean sample of people with schizophrenia
2022 · External reference
Assessing patient satisfaction with metacognitive training (mct) for psychosis: a systematic review of randomized clinical trials
10.1002/cpp.3065 · 2024 · External reference
Gender differences in response to metacognitive training in people with first-episode psychosis
10.1037/ccp0000468 · 2020 · External reference
Moderators of symptomatic outcome in metacognitive training for psychosis (MCT). Who benefits and who does not?
10.1007/s10608-017-9868-3 · 2018 · External reference
Moderators of treatment efficacy in individualized metacognitive training for psychosis (MCT+)
10.1016/j.jbtep.2020.101547 · 2020 · External reference
Moderators of cognitive insight outcome in metacognitive training for first-episode psychosis
10.1016/j.jpsychires.2021.06.040 · 2021 · External reference
Metacognitive training in schizophrenia: from basic research to knowledge translation and intervention
10.1097/yco.0b013e3282f0b8ed · 2007 · External reference
Unresolved reference
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10.1038/s41746-024-01213-6
10.1038/s41746-024-01213-6 · External reference
10.1016/j.neucom.2023.02.040
10.1016/j.neucom.2023.02.040 · External reference
A survey on the explainability of supervised machine learning
10.1613/jair.1.12228 · 2021 · External reference
10.1145/2939672.2939778
10.1145/2939672.2939778 · 2016 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Unresolved reference
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A survey on bias and fairness in machine learning
10.1145/3457607 · 2021 · External reference
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
10.1038/s41746-020-0288-5 · 2020 · External reference
10.1145/2783258.2783311
10.1145/2783258.2783311 · 2015 · External reference
Data harmonization for the analysis of personalized treatment of psychosis with metacognitive training
10.1038/s41598-025-94815-3 · 2025 · External reference
Unresolved reference
2024 · External reference
Comprehensive guidelines for appropriate statistical analysis methods in research
10.4097/kja.24016 · 2024 · External reference
The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
10.1093/tbm/ibac069 · 2023 · External reference
Unresolved reference
2024 · External reference
10.1093/schbul/13.2.261
10.1093/schbul/13.2.261 · External reference
Scales to measure dimensions of hallucinations and delusions: the psychotic symptom rating scales (PSYRATS)
10.1017/s0033291799008661 · 1999 · External reference
Unresolved reference
1965 · External reference
A new instrument for measuring insight: the Beck cognitive insight scale
10.1016/s0920-9964(03)00189-0 · 2004 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
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Unresolved reference
2023 · External reference
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
10.1186/s12864-019-6413-7 · 2020 · External reference
10.1023/a:1010933404324
10.1023/a:1010933404324 · External reference
10.1093/bioinformatics/btq134
10.1093/bioinformatics/btq134 · External reference
LightGBM: a highly efficient gradient boosting decision tree
2017 · External reference
10.1214/aos/1013203451
10.1214/aos/1013203451 · External reference
Unresolved reference
2005 · External reference
Logistic regression: from art to science
2017 · External reference
́SMOTE: synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
10.1007/s10115-013-0679-x
10.1007/s10115-013-0679-x · External reference
Unresolved reference
1953 · External reference
10.1038/s42256-019-0138-9
10.1038/s42256-019-0138-9 · External reference
Unresolved reference
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Fairmodels: a flexible tool for bias detection, visualization, and mitigation in binary classification models
10.32614/rj-2022-019 · 2022 · External reference
Unresolved reference
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The paired t-test
2011 · External reference
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The role of explainability and transparency in fostering trust in ai healthcare systems: a systematic literature review, open issues and potential solutions
10.1007/s00521-024-10868-x · 2025 · External reference
Digital technologies impact on healthcare delivery: a systematic review of artificial intelligence (AI) and machine-learning (ML) adoption, challenges, and opportunities
10.3390/ai5040095 · 2024 · External reference
10.1038/s41746-021-00385-9
10.1038/s41746-021-00385-9 · External reference
Explanations can reduce overreliance on ai systems during decision-making
10.1145/3579605 · 2023 · External reference
Exploring multidisciplinary approaches to comorbid psychiatric and medical disorders: a scoping review
10.3390/life15020251 · 2025 · External reference
Revised manual for the global assessment of functioning scale
10.1016/j.eurpsy.2017.12.028 · 2018 · External reference
An Integrated Recovery-oriented Model (IRM) for mental health services: evolution and challenges
10.1186/s12888-016-1164-3 · 2017 · External reference
Unresolved reference
2010 · External reference
Development, reliability and acceptability of a new version of the DSM-IV social and occupational functioning assessment scale (sofas) to assess routine social functioning
2000 · External reference
Cognitive trajectories following onset of psychosis: a meta-analysis
10.1192/bjp.2022.131 · 2022 · External reference
European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia
10.1192/j.eurpsy.2022.2316 · 2022 · External reference
Alliance in individual psychotherapy
10.1037/a0022186 · 2011 · External reference
Patients' perspective on the therapeutic relationship and session quality: the central role of alliance
10.3389/fpsyg.2024.1367516 · 2024 · External reference
Development and validation of the working alliance inventory
10.1037/0022-0167.36.2.223 · 1989 · External reference
The session rating scale: preliminary psychometric properties of a “working” alliance measure
2003 · External reference
Therapists' cultural comfort and clients' distress: an initial exploration
10.1037/pst0000331 · 2021 · External reference
Evaluating the impact of prediction models: lessons learned, challenges, and recommendations
10.1186/s41512-018-0033-6 · 2018 · External reference
Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper
10.1186/s12911-025-02883-2 · 2025 · External reference
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