Literature DB >> 29104964

A Machine Learning Algorithm for Identifying Atopic Dermatitis in Adults from Electronic Health Records.

Erin Gustafson1, Jennifer Pacheco1, Firas Wehbe1, Jonathan Silverberg1, William Thompson1.   

Abstract

The current work aims to identify patients with atopic dermatitis for inclusion in genome-wide association studies (GWAS). Here we describe a machine learning-based phenotype algorithm. Using the electronic health record (EHR), we combined coded information with information extracted from encounter notes as features in a lasso logistic regression. Our algorithm achieves high positive predictive value (PPV) and sensitivity, improving on previous algorithms with low sensitivity. These results demonstrate the utility of natural language processing (NLP) and machine learning for EHR-based phenotyping.

Entities:  

Year:  2017        PMID： 29104964      PMCID： PMC5664951          DOI： 10.1109/ICHI.2017.31

Source DB:  PubMed          Journal:  IEEE Int Conf Healthc Inform


  23 in total

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Journal:  J Am Acad Dermatol       Date:  2014-05-09       Impact factor: 11.527

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Journal:  JAMA Dermatol       Date:  2017-05-01       Impact factor: 10.282

10.  Guidelines of care for the management of atopic dermatitis: section 3. Management and treatment with phototherapy and systemic agents.

Authors:  Robert Sidbury; Dawn M Davis; David E Cohen; Kelly M Cordoro; Timothy G Berger; James N Bergman; Sarah L Chamlin; Kevin D Cooper; Steven R Feldman; Jon M Hanifin; Alfons Krol; David J Margolis; Amy S Paller; Kathryn Schwarzenberger; Robert A Silverman; Eric L Simpson; Wynnis L Tom; Hywel C Williams; Craig A Elmets; Julie Block; Christopher G Harrod; Wendy Smith Begolka; Lawrence F Eichenfield
Journal:  J Am Acad Dermatol       Date:  2014-05-09       Impact factor: 11.527
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  11 in total

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Review 5.  Electronic health records and polygenic risk scores for predicting disease risk.

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Review 6.  Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations.

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Journal:  Dermatol Ther (Heidelb)       Date:  2020-04-06

Review 7.  Skin Sensitization Testing-What's Next?

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10.  Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study.

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Journal:  JID Innov       Date:  2022-02-11
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