{"id":"https://openalex.org/W2885664968","doi":"https://doi.org/10.3233/978-1-61499-872-3-159","title":"Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing","display_name":"Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2885664968","doi":"https://doi.org/10.3233/978-1-61499-872-3-159","mag":"2885664968","pmid":"https://pubmed.ncbi.nlm.nih.gov/29857420"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-872-3-159","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-872-3-159","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062081142","display_name":"Shinichiroh Yokota","orcid":"https://orcid.org/0000-0002-2296-9846"},"institutions":[{"id":"https://openalex.org/I4210109338","display_name":"University of Tokyo Hospital","ror":"https://ror.org/022cvpj02","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210109338"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yokota Shinichiroh","raw_affiliation_strings":["Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan","institution_ids":["https://openalex.org/I4210109338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023820316","display_name":"Emiko Shinohara","orcid":"https://orcid.org/0000-0002-9899-8678"},"institutions":[{"id":"https://openalex.org/I4210109338","display_name":"University of Tokyo Hospital","ror":"https://ror.org/022cvpj02","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210109338"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinohara Emiko","raw_affiliation_strings":["Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan","institution_ids":["https://openalex.org/I4210109338"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052636056","display_name":"Kazuhiko Ohe","orcid":"https://orcid.org/0000-0002-4296-9536"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ohe Kazuhiko","raw_affiliation_strings":["Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6905,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85579937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"250","issue":null,"first_page":"159","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12790","display_name":"Nursing Diagnosis and Documentation","score":0.9280999898910522,"subfield":{"id":"https://openalex.org/subfields/2910","display_name":"Issues, ethics and legal aspects"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5929281115531921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5906636714935303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763146877288818},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.555231511592865},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.476807564496994},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4624384343624115},{"id":"https://openalex.org/keywords/incident-report","display_name":"Incident report","score":0.4433092772960663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39821332693099976},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12700018286705017}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5929281115531921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5906636714935303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763146877288818},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.555231511592865},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.476807564496994},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4624384343624115},{"id":"https://openalex.org/C2909164965","wikidata":"https://www.wikidata.org/wiki/Q6014597","display_name":"Incident report","level":2,"score":0.4433092772960663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39821332693099976},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12700018286705017},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007564","descriptor_name":"Japan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007564","descriptor_name":"Japan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007564","descriptor_name":"Japan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012308","descriptor_name":"Risk Management","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012308","descriptor_name":"Risk Management","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012308","descriptor_name":"Risk Management","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-872-3-159","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-872-3-159","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29857420","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29857420","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G985005475","display_name":"Research on development of prediction method of fall by large scale clinical nursing data and machine learning","funder_award_id":"16K20977","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"Falls":[0],"are":[1],"generally":[2],"classified":[3],"into":[4],"two":[5,33,73,125],"groups":[6],"in":[7,10,60,135],"clinical":[8,27,119],"settings":[9],"Japan:":[11],"falls":[12,18,36,44,128],"from":[13,19],"the":[14,68,72,80,86,111,124,133],"same":[15],"level":[16,21],"and":[17,51,79,94,129],"one":[20],"to":[22],"another.":[23],"We":[24],"verified":[25],"whether":[26],"staff":[28,120],"could":[29],"distinguish":[30,122],"between":[31,71,123],"these":[32],"types":[34,64,74,126],"of":[35,65,75,82,105,110,127],"by":[37,90],"comparing":[38],"3,078":[39],"free-text":[40],"incident":[41,136],"reports":[42,61,76],"about":[43],"using":[45],"a":[46,52],"natural":[47],"language":[48],"processing":[49],"technique":[50],"machine":[53,93],"learning":[54,96],"technique.":[55],"Common":[56],"terms":[57],"were":[58],"used":[59],"for":[62],"both":[63],"falls,":[66],"but":[67],"similarity":[69],"score":[70],"was":[77,97,114],"low,":[78],"performance":[81],"identification":[83],"based":[84],"on":[85],"classification":[87,112],"model":[88,113],"constructed":[89],"support":[91],"vector":[92],"deep":[95],"low.":[98],"Although":[99],"it":[100],"is":[101],"possible":[102],"that":[103,118],"adjustment":[104],"hyper":[106],"parameters":[107],"during":[108],"construction":[109],"required,":[115],"we":[116],"believe":[117],"cannot":[121],"do":[130],"not":[131],"record":[132],"distinction":[134],"reports.":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}