Enhancing early autism prediction based on electronic records using clinical narratives

Junya Chen; Matthew Engelhard; Ricardo Henao; Samuel Berchuck; Brian Eichner; Eliana M. Perrin; Guillermo Sapiro; Geraldine Dawson

doi:10.1016/j.jbi.2023.104390

Enhancing early autism prediction based on electronic records using clinical narratives

Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (

Original language	English (US)
Journal	Journal of Biomedical Informatics
Volume	144
DOIs	https://doi.org/10.1016/j.jbi.2023.104390
State	Published - Aug 1 2023
Externally published	Yes

ASJC Scopus subject areas

Health Informatics
Computer Science Applications

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10.1016/j.jbi.2023.104390

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title = "Enhancing early autism prediction based on electronic records using clinical narratives",

abstract = "Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (",

author = "Junya Chen and Matthew Engelhard and Ricardo Henao and Samuel Berchuck and Brian Eichner and Perrin, {Eliana M.} and Guillermo Sapiro and Geraldine Dawson",

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T1 - Enhancing early autism prediction based on electronic records using clinical narratives

AU - Chen, Junya

AU - Engelhard, Matthew

AU - Henao, Ricardo

AU - Berchuck, Samuel

AU - Eichner, Brian

AU - Perrin, Eliana M.

AU - Sapiro, Guillermo

AU - Dawson, Geraldine

N1 - Generated from Scopus record by KAUST IRTS on 2023-09-25

PY - 2023/8/1

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N2 - Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (

AB - Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (

UR - https://linkinghub.elsevier.com/retrieve/pii/S1532046423001119

UR - http://www.scopus.com/inward/record.url?scp=85164022516&partnerID=8YFLogxK

U2 - 10.1016/j.jbi.2023.104390

DO - 10.1016/j.jbi.2023.104390

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SN - 1532-0464

VL - 144

JO - Journal of Biomedical Informatics

JF - Journal of Biomedical Informatics

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Enhancing early autism prediction based on electronic records using clinical narratives

Abstract

ASJC Scopus subject areas

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