Automatic health record review to help prioritize gravely ill Social Security disability applicants.

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Automatic health record review to help prioritize gravely ill Social Security disability applicants.

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http://www.wikidata.org/entity/Q39008896

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

Automatic health record review ...... ecurity disability applicants.

@en

Automatic health record review ...... ecurity disability applicants.

@nl

type

Item

label

Automatic health record review ...... ecurity disability applicants.

@en

Automatic health record review ...... ecurity disability applicants.

@nl

prefLabel

Automatic health record review ...... ecurity disability applicants.

@en

Automatic health record review ...... ecurity disability applicants.

@nl

P1476

Automatic health record review ...... ecurity disability applicants.

@en

P2093

Jennifer Erickson

http://www.w3.org/2001/XMLSchema#string

Yen-Yi Ho

http://www.w3.org/2001/XMLSchema#string

P2860

Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge

Discovering body site and severity modifiers in clinical texts

The Unified Medical Language System (UMLS): integrating biomedical terminology.

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

pROC: an open-source package for R and S+ to analyze and compare ROC curves

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

First in line: prioritizing receipt of Social Security disability benefits based on likelihood of death during adjudication.

Letter to the editor: on the stability and ranking of predictors from random forest variable importance measures.

The Yale cTAKES extensions for document classification: architecture and application.

Development and validation of a classification approach for extracting severity automatically from electronic health records

P304

709-716

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P31

scholarly article

P356

10.1093/JAMIA/OCW159

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Kenneth L Abbott

P577

2017-01-20T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28108546

http://www.w3.org/2001/XMLSchema#string

P921

disability

automation