About: Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems

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scientific article published on 10 August 2016

Attributes	Values
rdf:type	Item
description	videnskabelig artikel (da) article científic (ca) articolo scientifico (it) artigo científico (pt) bilimsel makale (tr) vedecký článok (sk) vetenskaplig artikel (sv) vědecký článek (cs) wetenschappelijk artikel (nl) wissenschaftlicher Artikel (de) научни чланак (sr) article scientifique (fr) artículu científicu espublizáu en 2016 (ast) наукова стаття, опублікована в серпні 2016 (uk) 2016 թվականի օգոստոսի 10-ին հրատարակված գիտական հոդված (hy) scientific article published on 10 August 2016 (en) مقالة علمية نشرت في 10 أغسطس 2016 (ar)
publication date	wds:Q37248769-30675BB4-DC5A-47AA-AA89-573426E44BAD
publication date	2016-08-10 00:00:00Z (xsd:dateTime)
cites work	wds:Q37248769-02A85AC5-1B9E-4ED0-B0A8-72A5C8718112 wds:Q37248769-1873FE0E-94EC-4B96-A711-B349E472EA80 wds:Q37248769-39A80928-2FCA-49B7-B65C-2479C2873F4C wds:Q37248769-489015A0-7E9E-4DBA-A3BF-CB50A59EBA4F wds:Q37248769-7D568CB0-327E-43B7-8CCC-82DEA78DB4CF wds:Q37248769-7D76B4BB-DA78-4B6C-B29E-E6C8D8C3E4EB wds:Q37248769-8F61043D-09C1-4A13-8A9F-503FA352DC77 wds:Q37248769-9B554414-5581-44F2-8FDE-AA3046722E16 wds:Q37248769-ABF0710A-18EF-4EBF-AE67-E58F0C15B706 wds:Q37248769-B2CED236-8F87-4F14-87EE-CDEF623BE965 wds:Q37248769-D38D13E2-5A05-44B5-AADA-6DE96ADD8062 wds:Q37248769-FC652268-FB43-411A-9DEA-6E564DE1FA4D wds:Q37248769-FD361390-7FD8-4165-A1A8-5F859E0A8D4E
cites work	Comparison of the Canadian CT Head Rule and the New Orleans Criteria in patients with minor head injury External validation of the Canadian CT Head Rule and the New Orleans Criteria for CT scanning in patients with minor head injury Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts Performance of the Canadian CT Head Rule and the New Orleans Criteria for predicting any traumatic intracranial injury on computed tomography in a United States Level I trauma center Minor head injury: guidelines for the use of CT--a multicenter validation study External validation of the New Orleans Criteria (NOC), the Canadian CT Head Rule (CCHR) and the National Emergency X-Radiography Utilization Study II (NEXUS II) for CT scanning in pediatric patients with minor head injury in a non-trauma center Prediction value of the Canadian CT head rule and the New Orleans criteria for positive head CT scan and acute neurosurgical procedures in minor head trauma: a multicenter external validation study Comparison of the Canadian CT head rule and the new orleans criteria in patients with minor head injury. The use of natural language processing of infusion notes to identify outpatient infusions. Canadian CT head rule study for patients with minor head injury: Methodology for phase II (validation and economic analysis) The potential of electronic medical record systems to support quality improvement work and research in Norwegian general practice The Canadian CT Head Rule reduced the need for CT scans more than the New Orleans Criteria in minor head injury The Canadian CT Head Rule was as sensitive as, but more specific than, the New Orleans Criteria for identifying minor head injury
author name string	wds:Q37248769-517E2016-106F-40C0-B1B7-E81F89346D2E wds:Q37248769-97A9C260-3ACE-46D2-923D-0C5B17CBD514
author name string	Donald A Szlosek Jonathan Ferrett
rdfs:label	Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems. (nl) Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems (en) Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems (ast)
skos:prefLabel	Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems. (nl) Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems (en) Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems (ast)
name	Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems. (nl) Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems (en) Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems (ast)
title	wds:Q37248769-0806904C-B1A9-4087-BE07-8B7666269C51
title	Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems (en)
page(s)	wds:Q37248769-5153501B-04E4-4E78-81A7-DF435257C001
page(s)	1222
instance of	wds:Q37248769-805E65B7-7B06-4B8B-8F6A-99C52EDB4DB8
instance of	scholarly article
main subject	wds:Q37248769-1E392EDC-44E9-4CF7-B73C-CB6032D1775D wds:Q37248769-47580980-67C0-4C39-96B7-9E2D8CBC1256 wds:Q37248769-90260B2D-F2F6-4B19-8951-4117897EA64B wds:Q37248769-B28CF955-C545-47C8-809E-E0C3362C9DD0 wds:Q37248769-CD88F9EE-D3E3-493D-995C-B2EDB1D76C80
main subject	decision support system machine learning algorithm natural language processing automation
PubMed ID	wds:Q37248769-27E54162-4ACF-4BDB-832A-A0C60E14CB42
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/27683664
PubMed ID	27683664
published in	wds:Q37248769-CA6DA5DC-8375-4CD4-9D8F-734BCD39F5DB
published in	EGEMS (Washington, DC)
issue	wds:Q37248769-79F23179-71CB-448B-985D-A3E427665954
volume	wds:Q37248769-17C198B8-15C8-41FC-98CE-4B7ECC9064E5
issue	3
volume	4
DOI	wds:Q37248769-76A9136C-14CE-4C6D-B306-BBDF476793EC
DOI	http://dx.doi.org/10.13063/2327-9214.1222
DOI	10.13063/2327-9214.1222
copyright license	wds:Q37248769-7926C803-88EB-459F-8909-FA846FCC5E95
copyright status	wds:Q37248769-5D5CE182-8A0D-460F-AEA2-E04BA5D86665
copyright license	Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
copyright status	copyrighted
describes a project that uses	wds:Q37248769-1387110F-BD65-4A6F-BB0A-58B179B869C4 wds:Q37248769-8A782E93-8BA1-4466-98BC-8B333387907B
describes a project that uses	machine learning SQL
PMCID	wds:Q37248769-3A8B86AF-B9B9-43A0-A4DC-78470079C547
PMCID	5019306
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q37248769
is cites work of	Artificial neural network approach to predict surgical site infection after free-flap reconstruction in patients receiving surgery for head and neck cancer. Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models

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