Prevalence of heart failure signs and symptoms in a large primary care population identified through the use of text and data mining of the electronic health record.
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Using recurrent neural network models for early detection of heart failure onset.Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis.Big data analytics to improve cardiovascular care: promise and challenges.Opportunities and challenges in leveraging electronic health record data in oncology.Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.Clinical Natural Language Processing in 2014: Foundational Methods Supporting Efficient Healthcare.Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records.A rule-based electronic phenotyping algorithm for detecting clinically relevant cardiovascular disease casesCongestive heart failure information extraction framework for automated treatment performance measures assessment.Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.Studying Associations Between Heart Failure Self-Management and Rehospitalizations Using Natural Language Processing.Psychometric Analysis of the Heart Failure Somatic Perception Scale as a Measure of Patient Symptom Perception.Diabetes and the direct secondary use of electronic health records: Using routinely collected and stored data to drive research and understandingMonte Carlo Simulations Demonstrate Algorithmic Interventions Over Time Reduce Hospitalisation in Patients With Schizophrenia and Bipolar DisorderA Survey of Big Data Issues in Electronic Health Record Analysis
P2860
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P2860
Prevalence of heart failure signs and symptoms in a large primary care population identified through the use of text and data mining of the electronic health record.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին 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
Prevalence of heart failure si ...... the electronic health record.
@ast
Prevalence of heart failure si ...... the electronic health record.
@en
type
label
Prevalence of heart failure si ...... the electronic health record.
@ast
Prevalence of heart failure si ...... the electronic health record.
@en
prefLabel
Prevalence of heart failure si ...... the electronic health record.
@ast
Prevalence of heart failure si ...... the electronic health record.
@en
P2093
P2860
P921
P1476
Prevalence of heart failure si ...... the electronic health record.
@en
P2093
Brent A Williams
Christopher deFilippi
Jimeng Sun
Rajakrishnan Vijayakrishnan
Roy J Byrd
Shahram Ebadollahi
Walter F Stewart
Zahra Daar
P2860
P304
P356
10.1016/J.CARDFAIL.2014.03.008
P577
2014-04-04T00:00:00Z