{"id":"https://openalex.org/W3042895962","doi":"https://doi.org/10.1038/s41746-020-0301-z","title":"Deep representation learning of electronic health records to unlock patient stratification at scale","display_name":"Deep representation learning of electronic health records to unlock patient stratification at scale","publication_year":2020,"publication_date":"2020-07-17","ids":{"openalex":"https://openalex.org/W3042895962","doi":"https://doi.org/10.1038/s41746-020-0301-z","mag":"3042895962","pmid":"https://pubmed.ncbi.nlm.nih.gov/32699826"},"language":"en","primary_location":{"id":"doi:10.1038/s41746-020-0301-z","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-020-0301-z","pdf_url":"https://www.nature.com/articles/s41746-020-0301-z.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41746-020-0301-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Isotta Landi","orcid":"https://orcid.org/0000-0003-4212-4709"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]},{"id":"https://openalex.org/I4210127676","display_name":"Center for Neuroscience and Cognitive Systems","ror":"https://ror.org/045yf0774","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210127676"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Isotta Landi","raw_affiliation_strings":["Bruno Kessler Institute, Povo, TN Italy","Department of Psychology and Cognitive Science, University of Trento, Rovereto, TN Italy"],"affiliations":[{"raw_affiliation_string":"Bruno Kessler Institute, Povo, TN Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Department of Psychology and Cognitive Science, University of Trento, Rovereto, TN Italy","institution_ids":["https://openalex.org/I193223587","https://openalex.org/I4210127676"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Benjamin S. Glicksberg","orcid":"https://orcid.org/0000-0003-4515-8090"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin S. Glicksberg","raw_affiliation_strings":["Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA","Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA"],"affiliations":[{"raw_affiliation_string":"Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao-Chih Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao-Chih Lee","raw_affiliation_strings":["Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA"],"affiliations":[{"raw_affiliation_string":"Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sarah Cherng","orcid":null},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Cherng","raw_affiliation_strings":["Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA"],"affiliations":[{"raw_affiliation_string":"Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Giulia Landi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156604","display_name":"Azienda Usl Toscana Centro","ror":"https://ror.org/05a87zb20","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210156604"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Landi","raw_affiliation_strings":["Department of Mental Health and Pathological Addiction, Azienda USL Centro \"Santi\", Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mental Health and Pathological Addiction, Azienda USL Centro \"Santi\", Parma, Italy","institution_ids":["https://openalex.org/I4210156604"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Matteo Danieletto","orcid":null},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matteo Danieletto","raw_affiliation_strings":["Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA","Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA"],"affiliations":[{"raw_affiliation_string":"Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Joel T. Dudley","orcid":null},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel T. Dudley","raw_affiliation_strings":["Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA"],"affiliations":[{"raw_affiliation_string":"Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cesare Furlanello","orcid":"https://orcid.org/0000-0002-5384-3605"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cesare Furlanello","raw_affiliation_strings":["Bruno Kessler Institute, Povo, TN Italy","HK3 Lab, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Bruno Kessler Institute, Povo, TN Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"HK3 Lab, Milan, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Riccardo Miotto","orcid":"https://orcid.org/0000-0002-7815-6000"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Riccardo Miotto","raw_affiliation_strings":["Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA","Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA"],"affiliations":[{"raw_affiliation_string":"Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA","institution_ids":["https://openalex.org/I98704320"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I2277624104","https://openalex.org/I4210127676"],"apc_list":{"value":3060,"currency":"USD","value_usd":3060},"apc_paid":{"value":3060,"currency":"USD","value_usd":3060},"fwci":12.8312,"has_fulltext":true,"cited_by_count":187,"citation_normalized_percentile":{"value":0.98962791,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"3","issue":"1","first_page":"96","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5945000052452087},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5580999851226807},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.5503000020980835},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5005999803543091},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4781999886035919},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.41690000891685486},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.4047999978065491},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3919000029563904},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3560999929904938}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589999794960022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6421999931335449},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5945000052452087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5791000127792358},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.5503000020980835},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.4047999978065491},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.3278999924659729},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C192943249","wikidata":"https://www.wikidata.org/wiki/Q1893382","display_name":"Stratification (seeds)","level":5,"score":0.3212999999523163},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.3174000084400177},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2551000118255615},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2549000084400177}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1038/s41746-020-0301-z","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-020-0301-z","pdf_url":"https://www.nature.com/articles/s41746-020-0301-z.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},{"id":"pmid:32699826","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32699826","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NPJ digital medicine","raw_type":null},{"id":"pmh:oai:arXiv.org:2003.06516","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.06516","pdf_url":"https://arxiv.org/pdf/2003.06516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:a3c812cf99b140a5b237ea6ab049acf1","is_oa":true,"landing_page_url":"https://doaj.org/article/a3c812cf99b140a5b237ea6ab049acf1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"npj Digital Medicine, Vol 3, Iss 1, Pp 1-11 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7367859","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7367859","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NPJ Digit Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1038/s41746-020-0301-z","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-020-0301-z","pdf_url":"https://www.nature.com/articles/s41746-020-0301-z.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307132","display_name":"Alzheimer's Drug Discovery Foundation","ror":"https://ror.org/0185drb55"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320330883","display_name":"Hasso Plattner Foundation","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3042895962.pdf","grobid_xml":"https://content.openalex.org/works/W3042895962.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W102787101","https://openalex.org/W1540594287","https://openalex.org/W1605886981","https://openalex.org/W1779612606","https://openalex.org/W1839682376","https://openalex.org/W1983436690","https://openalex.org/W1990321932","https://openalex.org/W1993131507","https://openalex.org/W2004910511","https://openalex.org/W2057164916","https://openalex.org/W2062366800","https://openalex.org/W2072240081","https://openalex.org/W2086293424","https://openalex.org/W2088361570","https://openalex.org/W2116211649","https://openalex.org/W2117059686","https://openalex.org/W2124680543","https://openalex.org/W2131810554","https://openalex.org/W2134886133","https://openalex.org/W2135267022","https://openalex.org/W2152545206","https://openalex.org/W2154231035","https://openalex.org/W2163922914","https://openalex.org/W2168528736","https://openalex.org/W2169767637","https://openalex.org/W2255847468","https://openalex.org/W2317648909","https://openalex.org/W2337688125","https://openalex.org/W2404901863","https://openalex.org/W2464671728","https://openalex.org/W2481271618","https://openalex.org/W2514071032","https://openalex.org/W2534458843","https://openalex.org/W2549396793","https://openalex.org/W2584780866","https://openalex.org/W2610332124","https://openalex.org/W2742491462","https://openalex.org/W2768114048","https://openalex.org/W2772905286","https://openalex.org/W2773309042","https://openalex.org/W2784499877","https://openalex.org/W2803290558","https://openalex.org/W2805089815","https://openalex.org/W2805580777","https://openalex.org/W2886951144","https://openalex.org/W2889326414","https://openalex.org/W2894132916","https://openalex.org/W2907378463","https://openalex.org/W2914683543","https://openalex.org/W2919115771","https://openalex.org/W2944029723","https://openalex.org/W2948262697","https://openalex.org/W2950562763","https://openalex.org/W2964006392","https://openalex.org/W6675354045","https://openalex.org/W6756040250"],"related_works":[],"abstract_inverted_index":{"Deriving":[0],"disease":[1,176],"subtypes":[2,159],"from":[3,63],"electronic":[4],"health":[5],"records":[6],"(EHRs)":[7],"can":[8,48,188,201],"guide":[9],"next-generation":[10],"personalized":[11,220],"medicine.":[12,221],"However,":[13],"challenges":[14],"in":[15,125,207,216],"summarizing":[16],"and":[17,43,50,88,116,139,169,178,210],"representing":[18],"patient":[19,45,53,94,107,118,190],"data":[20],"prevent":[21],"widespread":[22],"practice":[23],"of":[24,60,71,219],"scalable":[25,199],"EHR-based":[26,214],"stratification":[27,54,108],"analysis.":[28],"Here":[29],"we":[30,184],"present":[31],"an":[32],"unsupervised":[33],"framework":[34,200],"based":[35,81],"on":[36,82],"deep":[37],"learning":[38,79],"to":[39,92,113,129,146,155,174,194],"process":[40],"heterogeneous":[41,208],"EHRs":[42,59],"derive":[44],"representations":[46,103,191],"that":[47,186,192],"efficiently":[49],"effectively":[51],"enable":[52],"at":[55],"scale.":[56],"We":[57,75,100],"considered":[58],"1,608,741":[61],"patients":[62,131,148],"a":[64,69,77,126,150],"diverse":[65],"hospital":[66],"cohort":[67],"comprising":[68],"total":[70],"57,464":[72],"clinical":[73],"concepts.":[74],"introduce":[76],"representation":[78],"model":[80],"word":[83],"embeddings,":[84],"convolutional":[85],"neural":[86],"networks,":[87],"autoencoders":[89],"(i.e.,":[90],"ConvAE)":[91],"transform":[93],"trajectories":[95],"into":[96],"low-dimensional":[97],"latent":[98],"vectors.":[99],"evaluated":[101],"these":[102,182],"as":[104],"broadly":[105],"enabling":[106],"by":[109],"applying":[110],"hierarchical":[111],"clustering":[112,127],"different":[114,133,161],"multi-disease":[115],"disease-specific":[117],"cohorts.":[119],"ConvAE":[120,153,187],"significantly":[121],"outperformed":[122],"several":[123],"baselines":[124],"task":[128],"identify":[130],"with":[132,136],"complex":[134],"conditions,":[135],"2.61":[137],"entropy":[138],"0.31":[140],"purity":[141],"average":[142],"scores.":[143],"When":[144],"applied":[145],"stratify":[147],"within":[149],"certain":[151],"condition,":[152],"led":[154],"various":[156],"clinically":[157,195],"relevant":[158],"for":[160,213],"disorders,":[162],"including":[163],"type":[164],"2":[165],"diabetes,":[166],"Parkinson's":[167],"disease,":[168,171],"Alzheimer's":[170],"largely":[172],"related":[173],"comorbidities,":[175],"progression,":[177],"symptom":[179],"severity.":[180],"With":[181],"results,":[183],"demonstrate":[185],"generate":[189],"lead":[193],"meaningful":[196],"insights.":[197],"This":[198],"help":[202],"better":[203],"understand":[204],"varying":[205],"etiologies":[206],"sub-populations":[209],"unlock":[211],"patterns":[212],"research":[215],"the":[217],"realm":[218]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2020-07-23T00:00:00"}