Intelligent real-time therapy: harnessing the power of machine learning to optimise the delivery of momentary cognitive-behavioural interventions.
about
The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application.Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: a qualitative study.A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations.Optimizing prediction of binge eating episodes: a comparison approach to test alternative conceptualizations of the affect regulation model.Dynamic treatment regimes: technical challenges and applicationsCBT for psychosis: effectiveness, diversity, dissemination, politics, the future and technology.Predictors of Self-Stigma in Schizophrenia: New Insights Using Mobile Technologies.TechCare: mobile assessment and therapy for psychosis - an intervention for clients in the Early Intervention Service: A feasibility study protocol.Emotional response to a therapeutic technique: The social Broad Minded Affective Coping.The Efficacy of Internet-Based Mindfulness Training and Cognitive-Behavioral Training With Telephone Support in the Enhancement of Mental Health Among College Students and Young Working Adults: Randomized Controlled Trial.Evolution of cognitive-behavioral therapy for eating disorders.An experience sampling study of worry and rumination in psychosis.A therapeutic application of the experience sampling method in the treatment of depression: a randomized controlled trial.Economic evaluation of an experience sampling method intervention in depression compared with treatment as usual using data from a randomized controlled trial.Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.Advanced Daily Prediction Model for National Suicide Numbers with Social Media Data.Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
P2860
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P2860
Intelligent real-time therapy: harnessing the power of machine learning to optimise the delivery of momentary cognitive-behavioural interventions.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Intelligent real-time therapy: ...... ive-behavioural interventions.
@en
Intelligent real-time therapy: ...... ive-behavioural interventions.
@nl
type
label
Intelligent real-time therapy: ...... ive-behavioural interventions.
@en
Intelligent real-time therapy: ...... ive-behavioural interventions.
@nl
prefLabel
Intelligent real-time therapy: ...... ive-behavioural interventions.
@en
Intelligent real-time therapy: ...... ive-behavioural interventions.
@nl
P2093
P2860
P1476
Intelligent real-time therapy: ...... ive-behavioural interventions.
@en
P2093
James Kelly
John Ainsworth
Mary Welford
Nicholas Tarrier
P2860
P304
P356
10.3109/09638237.2011.638001
P577
2012-01-17T00:00:00Z