Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA). Engchuan, W., Dimopoulos, A. C., Tyrovolas, S., Caballero, F. F., Sanchez-Niubo, A., Arndt, H., Ayuso-Mateos, J. L., Haro, J. M., Chatterji, S., & Panagiotakos, D. B. Medical Science Monitor, 25:1994–2001, March, 2019. ![Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{engchuan_sociodemographic_2019,
title = {Sociodemographic {Indicators} of {Health} {Status} {Using} a {Machine} {Learning} {Approach} and {Data} from the {English} {Longitudinal} {Study} of {Aging} ({ELSA})},
volume = {25},
issn = {1643-3750},
url = {https://www.medscimonit.com/abstract/index/idArt/913283},
doi = {10.12659/MSM.913283},
language = {en},
urldate = {2021-02-16},
journal = {Medical Science Monitor},
author = {Engchuan, Worrawat and Dimopoulos, Alexandros C. and Tyrovolas, Stefanos and Caballero, Francisco Félix and Sanchez-Niubo, Albert and Arndt, Holger and Ayuso-Mateos, Jose Luis and Haro, Josep Maria and Chatterji, Somnath and Panagiotakos, Demosthenes B.},
month = mar,
year = {2019},
pmcid = {PMC6436225},
pmid = {30879019},
keywords = {ML, Machine Learning},
pages = {1994--2001},
}
Downloads: 0
{"_id":"hSPBKS3MRYEuaJAxn","bibbaseid":"engchuan-dimopoulos-tyrovolas-caballero-sanchezniubo-arndt-ayusomateos-haro-etal-sociodemographicindicatorsofhealthstatususingamachinelearningapproachanddatafromtheenglishlongitudinalstudyofagingelsa-2019","author_short":["Engchuan, W.","Dimopoulos, A. C.","Tyrovolas, S.","Caballero, F. F.","Sanchez-Niubo, A.","Arndt, H.","Ayuso-Mateos, J. L.","Haro, J. M.","Chatterji, S.","Panagiotakos, D. B."],"bibdata":{"bibtype":"article","type":"article","title":"Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)","volume":"25","issn":"1643-3750","url":"https://www.medscimonit.com/abstract/index/idArt/913283","doi":"10.12659/MSM.913283","language":"en","urldate":"2021-02-16","journal":"Medical Science Monitor","author":[{"propositions":[],"lastnames":["Engchuan"],"firstnames":["Worrawat"],"suffixes":[]},{"propositions":[],"lastnames":["Dimopoulos"],"firstnames":["Alexandros","C."],"suffixes":[]},{"propositions":[],"lastnames":["Tyrovolas"],"firstnames":["Stefanos"],"suffixes":[]},{"propositions":[],"lastnames":["Caballero"],"firstnames":["Francisco","Félix"],"suffixes":[]},{"propositions":[],"lastnames":["Sanchez-Niubo"],"firstnames":["Albert"],"suffixes":[]},{"propositions":[],"lastnames":["Arndt"],"firstnames":["Holger"],"suffixes":[]},{"propositions":[],"lastnames":["Ayuso-Mateos"],"firstnames":["Jose","Luis"],"suffixes":[]},{"propositions":[],"lastnames":["Haro"],"firstnames":["Josep","Maria"],"suffixes":[]},{"propositions":[],"lastnames":["Chatterji"],"firstnames":["Somnath"],"suffixes":[]},{"propositions":[],"lastnames":["Panagiotakos"],"firstnames":["Demosthenes","B."],"suffixes":[]}],"month":"March","year":"2019","pmcid":"PMC6436225","pmid":"30879019","keywords":"ML, Machine Learning","pages":"1994–2001","bibtex":"@article{engchuan_sociodemographic_2019,\n\ttitle = {Sociodemographic {Indicators} of {Health} {Status} {Using} a {Machine} {Learning} {Approach} and {Data} from the {English} {Longitudinal} {Study} of {Aging} ({ELSA})},\n\tvolume = {25},\n\tissn = {1643-3750},\n\turl = {https://www.medscimonit.com/abstract/index/idArt/913283},\n\tdoi = {10.12659/MSM.913283},\n\tlanguage = {en},\n\turldate = {2021-02-16},\n\tjournal = {Medical Science Monitor},\n\tauthor = {Engchuan, Worrawat and Dimopoulos, Alexandros C. and Tyrovolas, Stefanos and Caballero, Francisco Félix and Sanchez-Niubo, Albert and Arndt, Holger and Ayuso-Mateos, Jose Luis and Haro, Josep Maria and Chatterji, Somnath and Panagiotakos, Demosthenes B.},\n\tmonth = mar,\n\tyear = {2019},\n\tpmcid = {PMC6436225},\n\tpmid = {30879019},\n\tkeywords = {ML, Machine Learning},\n\tpages = {1994--2001},\n}\n\n","author_short":["Engchuan, W.","Dimopoulos, A. C.","Tyrovolas, S.","Caballero, F. F.","Sanchez-Niubo, A.","Arndt, H.","Ayuso-Mateos, J. L.","Haro, J. M.","Chatterji, S.","Panagiotakos, D. B."],"key":"engchuan_sociodemographic_2019","id":"engchuan_sociodemographic_2019","bibbaseid":"engchuan-dimopoulos-tyrovolas-caballero-sanchezniubo-arndt-ayusomateos-haro-etal-sociodemographicindicatorsofhealthstatususingamachinelearningapproachanddatafromtheenglishlongitudinalstudyofagingelsa-2019","role":"author","urls":{"Paper":"https://www.medscimonit.com/abstract/index/idArt/913283"},"keyword":["ML","Machine Learning"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero-group/iagogv/4865242","dataSources":["ovn29uG6Mbp3JWCRR","hjeq3HDahJ7qoS8sT","RK5bcWgWLp968wLki","3ixEQFKYYWDDWTnwK","EekRJZD7srjLmd9Ap","PrXaCySQeR2dtgEBN","8dFW2ZNWbxwcNuqsb"],"keywords":["ml","machine learning"],"search_terms":["sociodemographic","indicators","health","status","using","machine","learning","approach","data","english","longitudinal","study","aging","elsa","engchuan","dimopoulos","tyrovolas","caballero","sanchez-niubo","arndt","ayuso-mateos","haro","chatterji","panagiotakos"],"title":"Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)","year":2019}