Výsledky vyhledávání - "wraparound social services"

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Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

Autor: Shaun J. Grannis, Joshua R. Vest, Paul K. Halverson, Nir Menachemi, Justin Morea, Suranga N. Kasthurirathne

Publikováno v: JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 7, p e16129 (2020)

Background Emerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1ef7bea11d9ab7c6ea8f4c8291b7e5
http://europepmc.org/articles/PMC7380999

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Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation (Preprint)

Autor: Suranga N Kasthurirathne, Shaun Grannis, Paul K Halverson, Justin Morea, Nir Menachemi, Joshua R Vest

BACKGROUND Emerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07bc7bf2175f68d2d88c464172f20106
https://doi.org/10.2196/preprints.16129

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Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services

Autor: Suranga N. Kasthurirathne, Paul K. Halverson, Shaun J. Grannis, Joshua R. Vest, Nir Menachemi

Publikováno v: Journal of the American Medical Informatics Association. 25:47-53

Introduction A growing variety of diverse data sources is emerging to better inform health care delivery and health outcomes. We sought to evaluate the capacity for clinical, socioeconomic, and public health data sources to predict the need for vario

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a6371d2e6882bced2fd62a62c092220
https://doi.org/10.1093/jamia/ocx130

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Editorial & Opinion

Response to letter to the Editor on "Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services".

Autor: Kasthurirathne SN; School of Informatics and Computing, Indiana University, Indianapolis, Indiana, USA., Vest JR; Center for Biomedical Informatics (CBMI), Regenstrief Institute, Indianapolis, Indiana, USA.; Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA and., Menachemi N; Center for Biomedical Informatics (CBMI), Regenstrief Institute, Indianapolis, Indiana, USA.; Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA and., Halverson PK; Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA and., Grannis SJ; Center for Biomedical Informatics (CBMI), Regenstrief Institute, Indianapolis, Indiana, USA.; Indiana University School of Medicine, Indianapolis, Indiana, USA.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2018 Aug 01; Vol. 25 (8), pp. 1108.

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Response to letter to the Editor on 'Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services'

Autor: Paul K. Halverson, Suranga N. Kasthurirathne, Nir Menachemi, Shaun J. Grannis, Joshua R. Vest

Publikováno v: J Am Med Inform Assoc

INTRODUCTION: A growing variety of diverse data sources is emerging to better inform health care delivery and health outcomes. We sought to evaluate the capacity for clinical, socioeconomic, and public health data sources to predict the need for vari

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b0d20622379fbb007637e872f3f3dc
https://europepmc.org/articles/PMC7646897/

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