Learning statistical models of phenotypes using noisy labeled training data (Q31095809)

4 November 2017

Learning statistical models of phenotypes using noisy labeled training data (English)

1 reference

4 November 2017

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Juan M Banda

3

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Timothy E Sweeney

object named as

Timothy E Sweeney

7

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Tiffany I Leung

object named as

Tiffany I Leung

5

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Nigam H. Shah

9

object named as

Nigam H Shah

1 reference

4 November 2017

Vibhu Agarwal

1

1 reference

4 November 2017

Tanya Podchiyska

2

1 reference

4 November 2017

Veena Goel

4

1 reference

4 November 2017

Evan P Minty

6

1 reference

4 November 2017

Elsie Gyang

8

1 reference

4 November 2017

12 May 2016

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Journal of the American Medical Informatics Association

4 November 2017

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4 November 2017

23

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4 November 2017

6

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4 November 2017

1166-1173

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describes a project that uses

4 November 2017

SQL

1 reference

26 June 2022

https://europepmc.org/article/PMC/PMC5070523

based on heuristic

inferred from PubMed Central ID database lookup

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Personalized Predictive Modeling and Risk Factor Identification using Patient Similarity

21 June 2018

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21 June 2018

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Electronic medical records and genomics (eMERGE) network exploration in cataract: several new potential susceptibility loci.

21 June 2018

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Functional evaluation of out-of-the-box text-mining tools for data-mining tasks

21 June 2018

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Evaluation of matched control algorithms in EHR-based phenotyping studies: a case study of inflammatory bowel disease comorbidities

21 June 2018

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Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records

21 June 2018

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21 June 2018

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21 June 2018

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Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence

21 June 2018

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21 June 2018

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Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

21 June 2018

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A review of approaches to identifying patient phenotype cohorts using electronic health records.

21 June 2018

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21 June 2018

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Defining a comprehensive verotype using electronic health records for personalized medicine

21 June 2018

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Using electronic health records data to identify patients with chronic pain in a primary care setting

21 June 2018

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Applying active learning to high-throughput phenotyping algorithms for electronic health records data

21 June 2018

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A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury

21 June 2018

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Challenges in using electronic health record data for CER: experience of 4 learning organizations and solutions applied

21 June 2018

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21 June 2018

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Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network

21 June 2018

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21 June 2018

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A Clinical Database-Driven Approach to Decision Support: Predicting Mortality Among Patients with Acute Kidney Injury

21 June 2018

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Portability of an algorithm to identify rheumatoid arthritis in electronic health records.

21 June 2018

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Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 January 2018

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21 January 2018

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The U.S. Food and Drug Administration's Mini-Sentinel program: status and direction

21 January 2018

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Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data

25 November 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/27174893

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1093/JAMIA/OCW028

1 reference

journals/jamia/AgarwalPBGLMSGS16

4 November 2017

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

4 November 2017

PubMed publication ID

27174893

1 reference