(Q45945305)

18 December 2017

editorial

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title

The revolution of personalized psychiatry: will technology make it happen sooner? (English)

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18 December 2017

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G Perna

1

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author name string

M Grassi

series ordinal

2

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18 December 2017

D Caldirola

series ordinal

3

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18 December 2017

C B Nemeroff

series ordinal

4

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18 December 2017

language of work or name

English

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publication date

2 October 2017

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18 December 2017

published in

Psychological Medicine

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18 December 2017

page(s)

1-9

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18 December 2017

Cross-trial prediction of treatment outcome in depression: a machine learning approach

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Development and validation of a risk-prediction algorithm for the recurrence of panic disorder

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There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders.

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The potential of biomarkers in psychiatry: focus on proteomics

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Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis

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Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.

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Altered anatomical patterns of depression in relation to antidepressant treatment: Evidence from a pattern recognition analysis on the topological organization of brain networks

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A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder

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Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests

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Brainstem abnormalities in attention deficit hyperactivity disorder support high accuracy individual diagnostic classification.

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Characteristics and profiles of bipolar I patients according to age-at-onset: findings from an admixture analysis

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Predictors of treatment response in young people at ultra-high risk for psychosis who received long-chain omega-3 fatty acids

21 January 2018

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Predicting treatment response to cognitive behavioral therapy in panic disorder with agoraphobia by integrating local neural information.

21 January 2018

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Rapid evidence review of the comparative effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment versus usual care for major depressive disorder

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Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model

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New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet

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Use of large data sets and the future of personalized treatment

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Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes

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Mental disorders of known aetiology and precision medicine in psychiatry: a promising but neglected alliance.

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Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction

21 January 2018

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Smartphone data as an electronic biomarker of illness activity in bipolar disorder

21 January 2018

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Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach

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Optimization of anemia treatment in hemodialysis patients via reinforcement learning.

21 January 2018

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Personalized medicine in psychiatry: problems and promises

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Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age.

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Building a genetic risk model for bipolar disorder from genome-wide association data with random forest algorithm

21 January 2018

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Soft Microfluidic Assemblies of Sensors, Circuits, and Radios for the Skin

21 January 2018

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inferred from DOI database lookup

7 January 2021

based on heuristic

An introduction to causal inference.

1 reference

https://api.crossref.org/works/10.1017%2FS0033291717002859

inferred from DOI database lookup

7 January 2021

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Electrocardiographic patch devices and contemporary wireless cardiac monitoring

1 reference

https://api.crossref.org/works/10.1017%2FS0033291717002859

inferred from DOI database lookup

7 January 2021

based on heuristic

Identifiers

DOI

10.1017/S0033291717002859

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18 December 2017

1 reference

18 December 2017