{"id":"https://openalex.org/W2901715397","doi":"https://doi.org/10.1007/s41109-018-0109-9","title":"From free text to clusters of content in health records: an unsupervised graph partitioning approach","display_name":"From free text to clusters of content in health records: an unsupervised graph partitioning approach","publication_year":2019,"publication_date":"2019-01-24","ids":{"openalex":"https://openalex.org/W2901715397","doi":"https://doi.org/10.1007/s41109-018-0109-9","mag":"2901715397","pmid":"https://pubmed.ncbi.nlm.nih.gov/30906850"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-018-0109-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-018-0109-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-018-0109-9.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41109-018-0109-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048215936","display_name":"M. Tar\u0131k Altuncu","orcid":"https://orcid.org/0000-0003-0516-1201"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. Tarik Altuncu","raw_affiliation_strings":["1Department of Mathematics, Imperial College London, South Kensington campus, London, SW7 2AZ UK","4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","Department of Mathematics, Imperial College London, South Kensington campus, London, SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Department of Mathematics, Imperial College London, South Kensington campus, London, SW7 2AZ UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Mathematics, Imperial College London, South Kensington campus, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000771003","display_name":"Erik Mayer","orcid":"https://orcid.org/0000-0002-5509-4580"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Erik Mayer","raw_affiliation_strings":["3Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, St Mary's campus, London, W2 1NY UK","4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, St Mary's campus, London, W2 1NY, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"3Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, St Mary's campus, London, W2 1NY UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, St Mary's campus, London, W2 1NY, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071259425","display_name":"Sophia N. Yaliraki","orcid":"https://orcid.org/0000-0002-8968-0713"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophia N. Yaliraki","raw_affiliation_strings":["2Department of Chemistry, Imperial College London, South Kensington campus, London, SW7 2AZ UK","4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","Department of Chemistry, Imperial College London, South Kensington campus, London, SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Department of Chemistry, Imperial College London, South Kensington campus, London, SW7 2AZ UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Chemistry, Imperial College London, South Kensington campus, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058010593","display_name":"Mauricio Barahona","orcid":"https://orcid.org/0000-0002-1089-5675"},"institutions":[{"id":"https://openalex.org/I1299528221","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842","country_code":"GB","type":"government","lineage":["https://openalex.org/I1299528221","https://openalex.org/I4210087105"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mauricio Barahona","raw_affiliation_strings":["1Department of Mathematics, Imperial College London, South Kensington campus, London, SW7 2AZ UK","4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Department of Mathematics, Imperial College London, South Kensington campus, London, SW7 2AZ UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"4EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, South Kensington campus, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I1299528221","https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058010593"],"corresponding_institution_ids":["https://openalex.org/I1299528221","https://openalex.org/I47508984"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":2.1693,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.90380993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"4","issue":"1","first_page":"2","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.983299970626831,"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/T10028","display_name":"Topic Modeling","score":0.983299970626831,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9664000272750854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6788814663887024},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5342776775360107},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4754723608493805},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.4477357268333435},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.44054940342903137},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43988174200057983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4327086806297302},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39309558272361755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37820160388946533},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3626689314842224},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17414265871047974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6788814663887024},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5342776775360107},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4754723608493805},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.4477357268333435},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.44054940342903137},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43988174200057983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4327086806297302},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39309558272361755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37820160388946533},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3626689314842224},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17414265871047974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s41109-018-0109-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-018-0109-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-018-0109-9.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Applied Network Science","raw_type":"journal-article"},{"id":"pmid:30906850","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30906850","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":"Applied network science","raw_type":null},{"id":"pmh:oai:arXiv.org:1811.05711","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.05711","pdf_url":"https://arxiv.org/pdf/1811.05711","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:9f04e59db9584958944415359fa2f06f","is_oa":true,"landing_page_url":"https://doaj.org/article/9f04e59db9584958944415359fa2f06f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 4, Iss 1, Pp 1-23 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5411231","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6400329","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/66234","is_oa":true,"landing_page_url":"http://hdl.handle.net/10044/1/66234","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"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":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1007/s41109-018-0109-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-018-0109-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-018-0109-9.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2453345397","display_name":null,"funder_award_id":"EP/N014529/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5946492841","display_name":null,"funder_award_id":"EP/I017267/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7417950124","display_name":"EPSRC Centre for Mathematics of Precision Healthcare","funder_award_id":"EP/N014529/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G850745309","display_name":null,"funder_award_id":"EP/N014529/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320328043","display_name":"Patient Safety Translational Research Centre","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320336039","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901715397.pdf","grobid_xml":"https://content.openalex.org/works/W2901715397.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W658295343","https://openalex.org/W941230081","https://openalex.org/W1521626219","https://openalex.org/W1614298861","https://openalex.org/W1814202332","https://openalex.org/W1880262756","https://openalex.org/W1964846359","https://openalex.org/W1978825280","https://openalex.org/W1983193888","https://openalex.org/W1993318811","https://openalex.org/W1995996823","https://openalex.org/W2008209917","https://openalex.org/W2028695285","https://openalex.org/W2044988896","https://openalex.org/W2047940964","https://openalex.org/W2094688862","https://openalex.org/W2097645701","https://openalex.org/W2098162425","https://openalex.org/W2098509290","https://openalex.org/W2108760528","https://openalex.org/W2119475356","https://openalex.org/W2124209874","https://openalex.org/W2131681506","https://openalex.org/W2131744502","https://openalex.org/W2132202037","https://openalex.org/W2132555912","https://openalex.org/W2138615112","https://openalex.org/W2147946282","https://openalex.org/W2153579005","https://openalex.org/W2157305458","https://openalex.org/W2171319841","https://openalex.org/W2259693459","https://openalex.org/W2309222574","https://openalex.org/W2413669350","https://openalex.org/W2461338233","https://openalex.org/W2462305634","https://openalex.org/W2550720082","https://openalex.org/W2582164355","https://openalex.org/W2594022964","https://openalex.org/W2618735189","https://openalex.org/W2739351760","https://openalex.org/W2745765137","https://openalex.org/W2752289368","https://openalex.org/W2771576526","https://openalex.org/W2949547296","https://openalex.org/W2950133940","https://openalex.org/W2950577311","https://openalex.org/W2951665412","https://openalex.org/W2963302977","https://openalex.org/W2963459858","https://openalex.org/W2963514026","https://openalex.org/W3005347330","https://openalex.org/W3099768174","https://openalex.org/W3103588369","https://openalex.org/W3104033643","https://openalex.org/W3105555964","https://openalex.org/W4231510805","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W4313908941"],"related_works":["https://openalex.org/W2377059580","https://openalex.org/W4200355488","https://openalex.org/W127000293","https://openalex.org/W3215892509","https://openalex.org/W2928616779","https://openalex.org/W2412592434","https://openalex.org/W2010523086","https://openalex.org/W4244602709","https://openalex.org/W594987446","https://openalex.org/W2012131063"],"abstract_inverted_index":{"Electronic":[0],"healthcare":[1,189,241],"records":[2],"contain":[3],"large":[4,16],"volumes":[5],"of":[6,18,24,34,37,56,73,83,122,137,154,162,175,218,251],"unstructured":[7],"data":[8],"in":[9,31,44,59,64,75,141,159,209],"different":[10,81,157,240],"forms.":[11],"Free":[12],"text":[13,58,90,127],"constitutes":[14],"a":[15,35,45,119,182],"portion":[17],"such":[19],"data,":[20],"yet":[21,201],"this":[22],"source":[23],"richly":[25],"detailed":[26],"information":[27],"often":[28],"remains":[29],"under-used":[30],"practice":[32],"because":[33],"lack":[36],"suitable":[38],"methodologies":[39,106],"to":[40,53,70,118,233,244],"extract":[41],"interpretable":[42],"content":[43,192],"timely":[46],"manner.":[47],"Here":[48],"we":[49,98],"apply":[50],"network-theoretical":[51],"tools":[52],"the":[54,65,88,132,135,160,163,173,221,228],"analysis":[55,136],"free":[57,89],"Hospital":[60],"Patient":[61],"Incident":[62],"reports":[63,74,139,235],"English":[66],"National":[67],"Health":[68],"Service,":[69],"find":[71],"clusters":[72],"an":[76],"unsupervised":[77],"manner":[78],"and":[79,238,243],"at":[80],"levels":[82,153],"resolution":[84,158],"based":[85,107],"directly":[86],"on":[87,108],"descriptions":[91],"contained":[92],"within":[93],"them.":[94],"To":[95],"do":[96],"so,":[97],"combine":[99],"recently":[100],"developed":[101],"deep":[102],"neural":[103],"network":[104],"text-embedding":[105],"paragraph":[109],"vectors":[110],"with":[111,134,156,197],"multi-scale":[112],"Markov":[113],"Stability":[114],"community":[115,150],"detection":[116],"applied":[117],"similarity":[120],"graph":[121],"documents":[123],"obtained":[124],"from":[125,172],"sparsified":[126],"vector":[128],"similarities.":[129],"We":[130,224],"showcase":[131],"approach":[133],"incident":[138],"submitted":[140],"Imperial":[142],"College":[143],"Healthcare":[144],"NHS":[145],"Trust,":[146],"London.":[147],"The":[148],"multiscale":[149],"structure":[151],"reveals":[152],"meaning":[155],"topics":[161],"dataset,":[164],"as":[165,177,179,212,214],"shown":[166],"by":[167,180,188],"relevant":[168],"descriptive":[169],"terms":[170],"extracted":[171],"groups":[174],"records,":[176],"well":[178,213],"comparing":[181],"posteriori":[183],"against":[184],"hand-coded":[185,199],"categories":[186],"assigned":[187],"personnel.":[190],"Our":[191],"communities":[193],"exhibit":[194],"good":[195],"correspondence":[196],"well-defined":[198],"categories,":[200],"our":[202],"results":[203],"also":[204,225],"provide":[205],"further":[206],"medical":[207],"detail":[208],"certain":[210],"areas":[211],"revealing":[215],"complementary":[216],"descriptors":[217],"incidents":[219],"beyond":[220],"external":[222],"classification.":[223],"discuss":[226],"how":[227],"method":[229],"can":[230],"be":[231],"used":[232],"monitor":[234],"over":[236],"time":[237],"across":[239],"providers,":[242],"detect":[245],"emerging":[246],"trends":[247],"that":[248],"fall":[249],"outside":[250],"pre-existing":[252],"categories.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}