Toward personalizing treatment for depression: predicting diagnosis and severity.
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'Big data' in mental health research: current status and emerging possibilitiesUsing LASSO Regression to Predict Rheumatoid Arthritis Treatment EfficacyThe Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic InsightSocial Media, Big Data, and Mental Health: Current Advances and Ethical ImplicationsOpportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.Predicting mortality over different time horizons: which data elements are needed?Improving risk prediction for depression via Elastic Net regression - Results from Korea National Health Insurance Services DataDevelopment of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy MakingHealth Informatics via Machine Learning for the Clinical Management of PatientsDeep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.Detecting unplanned care from clinician notes in electronic health recordsThe use of electronic health records for psychiatric phenotyping and genomics.Predicting Falls in People Aged 65 Years and Older from Insurance Claims.Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Data-based Decision Rules to Personalize Depression Follow-up.
P2860
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P2860
Toward personalizing treatment for depression: predicting diagnosis and severity.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Toward personalizing treatment for depression: predicting diagnosis and severity.
@ast
Toward personalizing treatment for depression: predicting diagnosis and severity.
@en
Toward personalizing treatment for depression: predicting diagnosis and severity.
@nl
type
label
Toward personalizing treatment for depression: predicting diagnosis and severity.
@ast
Toward personalizing treatment for depression: predicting diagnosis and severity.
@en
Toward personalizing treatment for depression: predicting diagnosis and severity.
@nl
prefLabel
Toward personalizing treatment for depression: predicting diagnosis and severity.
@ast
Toward personalizing treatment for depression: predicting diagnosis and severity.
@en
Toward personalizing treatment for depression: predicting diagnosis and severity.
@nl
P2093
P2860
P1476
Toward personalizing treatment for depression: predicting diagnosis and severity.
@en
P2093
David Carrell
Ming Tai-Seale
Nigam H Shah
Paea LePendu
Sandy H Huang
Srinivasan V Iyer
P2860
P304
P356
10.1136/AMIAJNL-2014-002733
P577
2014-07-02T00:00:00Z