Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.
about
'Big data' in mental health research: current status and emerging possibilitiesBig data for bipolar disorder.Big data in medicine is driving big changesAutomated computerized analysis of speech in psychiatric disorders."Big data" and the electronic health record.Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.Missing value imputation in high-dimensional phenomic data: imputable or not, and how?An ontology for Autism Spectrum Disorder (ASD) to infer ASD phenotypes from Autism Diagnostic Interview-Revised data.Molecular network analysis enhances understanding of the biology of mental disorders.EHR-based phenome wide association study in pancreatic cancer.Classification of hospital acquired complications using temporal clinical information from a large electronic health record.Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.Autism biomarkers: challenges, pitfalls and possibilities.Detecting unplanned care from clinician notes in electronic health records21st century toolkit for optimizing population health through precision nutrition.The use of electronic health records for psychiatric phenotyping and genomics.The Diagnosis-Wide Landscape of Hospital-Acquired AKI.EHR-based phenotyping: Bulk learning and evaluation.Electronic health records-driven phenotyping: challenges, recent advances, and perspectivesClinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Applications of network analysis to routinely collected health care data: a systematic review.Clinical Information Extraction Applications: A Literature Review.Network approach to autistic traits: group and subgroup analyses of ADOS item scores.Comparison of MetaMap and cTAKES for entity extraction in clinical notes
P2860
Q26741297-0C894C5C-F460-4B59-97D2-2909C1279480Q26749257-78E95FBD-72C2-4B26-B676-41F2B63F9FA8Q28652529-BF40A26C-0B91-4EAE-A8D4-9B134C4A1BA1Q30412969-0CDC4809-C236-4326-AEF0-12ED7B287B5BQ30842802-6091709A-7496-4541-AC8A-041AA773E655Q30863601-EA584C97-4764-4A53-9215-7A7CABAD8ADDQ30867594-F5D44E2E-A7BE-4C5D-8AF5-30726D7D9162Q30979052-9A92D052-D5BE-4A2F-9287-B8C279B2BD14Q34992037-38A4A3E7-D3B3-4797-A85F-3BD4F0AABD46Q35098981-75E0B178-FA8C-486F-A5CD-27537764A969Q36689410-774FA53A-BD01-49F8-87FE-51D55A7767CDQ36906830-0DF0C4A9-2786-4092-BCBF-F0B5D200B07CQ38246388-EAE45262-0BD7-40D5-95FF-34CFCE66AF82Q38484099-AF7EEE4C-ACC5-4BA9-B208-975E2CB93199Q38693004-963C8DB9-27C9-4087-9474-0AAF969E2828Q38756857-0C0EE616-B7A0-4EAE-BFBA-389797FB7A62Q38790976-A63E713C-F40E-43FE-858A-158440BA35B5Q38836310-39878F96-EEDA-49A7-9C5E-7BACAA1BA4C1Q42798335-5A366FE9-39A8-4774-8E71-7B666046F8F6Q47261230-C711B19A-B721-48D2-A425-3C08A1F6572CQ47314703-A386DF16-8E6A-4CEE-9070-68257406103CQ47433545-5FB91575-236E-42F5-BB44-50E8485E63DAQ50309519-EA3ADAA8-8821-4582-B926-382F42925AD8Q57157128-F5813657-1161-44DF-A0D6-F670CAD89CC9
P2860
Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 16 August 2013
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Identifying phenotypic signatu ...... om electronic medical records.
@en
Identifying phenotypic signatu ...... om electronic medical records.
@nl
type
label
Identifying phenotypic signatu ...... om electronic medical records.
@en
Identifying phenotypic signatu ...... om electronic medical records.
@nl
prefLabel
Identifying phenotypic signatu ...... om electronic medical records.
@en
Identifying phenotypic signatu ...... om electronic medical records.
@nl
P2093
P2860
P1476
Identifying phenotypic signatu ...... om electronic medical records.
@en
P2093
Bethany Percha
Nigam H Shah
Paea LePendu
Srinivasan V Iyer
Svetlana Lyalina
P2860
P304
P356
10.1136/AMIAJNL-2013-001933
P50
P577
2013-08-16T00:00:00Z