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Treatment selection using prototyping in latent-space with application to depression treatment

PloS one, 2021-11, Vol.16 (11), p.e0258400-e0258400

2021

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Challenges when identifying migration from geo-located Twitter data

EPJ data science, 2021-01, Vol.10 (1), p.1-14, Article 1

2021

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Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets

Translational psychiatry, 2024-06, Vol.14 (1), p.263-9, Article 263

2024

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Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare

Frontiers in big data, 2021-07, Vol.4, p.727856-727856

2021

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Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STARD and CO-MED Data

Computational psychiatry, 2020, Vol.4, p.61-75

2020

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A mixed-methods feasibility study of a novel AI-enabled, web-based, clinical decision support system for the treatment of major depression in adults

Journal of affective disorders reports, 2023-12, Vol.14, p.100677, Article 100677

2023

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Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center

Psychiatry research, 2022-02, Vol.308, p.114336-114336, Article 114336

2022

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Applying artificial intelligence to clinical decision support in mental health: What have we learned?

Health policy and technology, 2024-06, Vol.13 (2), p.100844, Article 100844

2024

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Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies

The American journal of geriatric psychiatry, 2024-03, Vol.32 (3), p.280-292

2024

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Linguistic Alignment and the Behaviour of Online Groups

Armstrong, Caitrin

2019

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Pseudo-morphemic structure inhibits, but morphemic structure facilitates, processing of a repeated free morpheme

Language, cognition and neuroscience, 2018-11, Vol.33 (10), p.1252-1274

2018

Volltextzugriff (PDF)

Treatment selection using prototyping in latent-space with application to depression treatment

PloS one, 2021-01, Vol.16 (11), p.e0258400

2021

Volltextzugriff (PDF)

Differential Treatment Benet Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STARD and CO-MED Data

Computational psychiatry, 2020-01, Vol.4, p.61

2020

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Contribution of Common Genetic Variants to Risk of Early-Onset Ischemic Stroke

Neurology, 2022-10, Vol.99 (16), p.e1738

2022

Volltextzugriff (PDF)

Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program

Frontiers in genetics, 2023, Vol.14, p.1278215

2023

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Treatment selection using prototyping in latent-space with application to depression treatment

Challenges when identifying migration from geo-located Twitter data

Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare

Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STARD and CO-MED Data

Correction: Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility Study

A mixed-methods feasibility study of a novel AI-enabled, web-based, clinical decision support system for the treatment of major depression in adults

Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center

Applying artificial intelligence to clinical decision support in mental health: What have we learned?

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies

Linguistic Alignment and the Behaviour of Online Groups

Pseudo-morphemic structure inhibits, but morphemic structure facilitates, processing of a repeated free morpheme

Evaluating the Usability and Impact of an Artificial Intelligence-Powered Clinical Decision Support System for Depression Treatment

Treatment selection using prototyping in latent-space with application to depression treatment

Differential Treatment Benet Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STARD and CO-MED Data

Adverse Cardiovascular Outcomes and Antihypertensive Treatment: A Genome‐Wide Interaction Meta‐Analysis in the International Consortium for Antihypertensive Pharmacogenomics Studies

Genetic Contributors of Efficacy and Adverse Metabolic Effects of Chlorthalidone in African Americans from the Genetics of Hypertension Associated Treatments (GenHAT) Study

Contribution of Common Genetic Variants to Risk of Early-Onset Ischemic Stroke

Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program

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