Automated detection of follow-up appointments using text mining of discharge records. - Wikidata - awgldk - TriplyDB

Automated detection of follow-up appointments using text mining of discharge records.

Automated detection of follow-up appointments using text mining of discharge records.

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Text Mining of Journal Articles for Sleep Disorder Terminologies.Natural language processing to extract follow-up provider information from hospital discharge summaries.Clinical Information Extraction Applications: A Literature Review.

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Automated detection of follow-up appointments using text mining of discharge records.

http://www.wikidata.org/entity/Q37720345

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 27 March 2010

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

@cs

name

Automated detection of follow-up appointments using text mining of discharge records.

@en

Automated detection of follow-up appointments using text mining of discharge records.

@nl

type

label

Automated detection of follow-up appointments using text mining of discharge records.

@en

Automated detection of follow-up appointments using text mining of discharge records.

@nl

prefLabel

Automated detection of follow-up appointments using text mining of discharge records.

@en

Automated detection of follow-up appointments using text mining of discharge records.

@nl

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International Journal for Quality in Health Care

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Automated detection of follow-up appointments using text mining of discharge records.

@en

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Carrie A Grafft

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

James M Naessens

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Juliette T Liesinger

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Kari L Ruud

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Matthew G Johnson

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Mayo clinic NLP system for patient smoking status identification

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Automated detection of adverse events using natural language processing of discharge summaries.

BRIEF REPORT: Factors affecting outpatient follow-up compliance of emergency department patients.

Epidemiology of angina pectoris: role of natural language processing of the medical record.

Automatic classification of foot examination findings using clinical notes and machine learning.

Effect of discharge instructions on readmission of hospitalised patients with heart failure: do all of the Joint Commission on Accreditation of Healthcare Organizations heart failure core measures reflect better care?

Patient noncompliance with medical advice after the emergency department visit.

Rehospitalizations among patients in the Medicare fee-for-service program

Computerized extraction of information on the quality of diabetes care from free text in electronic patient records of general practitioners.

P304

229-235

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scholarly article

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10.1093/INTQHC/MZQ012

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3

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22

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2010-03-27T00:00:00Z

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42611250

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20348557

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