{"id":"https://openalex.org/W2045588666","doi":"https://doi.org/10.5220/0005146504460453","title":"Discovering Expected Activities in Medical Context Scientific Databases","display_name":"Discovering Expected Activities in Medical Context Scientific Databases","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2045588666","doi":"https://doi.org/10.5220/0005146504460453","mag":"2045588666"},"language":"en","primary_location":{"id":"doi:10.5220/0005146504460453","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005146504460453","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 3rd International Conference on Data Management Technologies and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005146504460453","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073138798","display_name":"Daniela D\u2019Auria","orcid":"https://orcid.org/0000-0002-6951-8508"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniela D'Auria","raw_affiliation_strings":["University of Naples \u201dFederico II\u201d, Italy"],"affiliations":[{"raw_affiliation_string":"University of Naples \u201dFederico II\u201d, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010558925","display_name":"Fabio Persia","orcid":"https://orcid.org/0000-0002-1798-0215"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Persia","raw_affiliation_strings":["University of Naples \u201dFederico II\u201d, Italy"],"affiliations":[{"raw_affiliation_string":"University of Naples \u201dFederico II\u201d, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073138798"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":1.44684927,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85923404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"446","last_page":"453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9505000114440918,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006883859634399},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6041557788848877},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5343387126922607},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44125843048095703},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.43417710065841675},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.40640681982040405},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38232386112213135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34381213784217834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31915372610092163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006883859634399},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6041557788848877},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5343387126922607},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44125843048095703},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.43417710065841675},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.40640681982040405},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38232386112213135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34381213784217834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31915372610092163},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5220/0005146504460453","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005146504460453","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 3rd International Conference on Data Management Technologies and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/474000","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/474000","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:unibz.it:11293112170001241","is_oa":false,"landing_page_url":"https://bia.unibz.it/esploro/outputs/conferenceProceeding/Discovering-Expected-Activities-in-Medical-Context/991006495378001241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"doi:10.5220/0005146504460453","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005146504460453","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 3rd International Conference on Data Management Technologies and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W187246281","https://openalex.org/W2565703248","https://openalex.org/W2143548620"],"abstract_inverted_index":{"Reasoning":[0],"with":[1],"temporal":[2],"data":[3,77,95,130],"has":[4],"attracted":[5],"the":[6,68,93,118,123,132,144],"attention":[7],"of":[8,37],"many":[9],"researchers":[10],"from":[11,81],"different":[12],"backgrounds":[13],"including":[14],"artificial":[15],"intelligence,":[16],"database":[17,99],"management,":[18],"computational":[19],"linguistics":[20],"and":[21,62,100,135],"biomedical":[22],"informatics.":[23],"More":[24],"specifically,":[25],"activity":[26,65],"detection":[27,66],"is":[28],"a":[29,34,58,82,97],"very":[30],"important":[31],"problem":[32],"in":[33,53,67,78],"wide":[35],"variety":[36],"application":[38],"domains":[39],"such":[40],"as":[41],"video":[42],"surveillance,":[43],"cyber":[44],"security,":[45],"fault":[46],"detection,":[47],"but":[48],"also":[49,139],"clinical":[50],"research.":[51],"Thus,":[52],"this":[54],"paper":[55],"we":[56,74,91,102,138],"present":[57],"prototype":[59],"architecture":[60],"designed":[61],"developed":[63],"for":[64,108],"medical":[69,88,119,145],"context.":[70],"In":[71],"more":[72],"detail,":[73],"first":[75],"acquire":[76],"real":[79,129],"time":[80],"cricothyrotomy":[83],"simulator,":[84],"when":[85,121],"used":[86,148],"by":[87,117,143],"doctors,":[89],"then":[90],"store":[92],"acquired":[94],"into":[96],"scientific":[98],"finally":[101],"use":[103],"an":[104],"Activity":[105],"Detection":[106],"Engine":[107],"finding":[109],"expected":[110],"activities,":[111],"corresponding":[112],"to":[113],"specific":[114],"performances":[115],"obtained":[116],"doctors":[120],"using":[122,128],"simulator.":[124],"Some":[125],"preliminary":[126],"experiments":[127],"show":[131],"approach":[133],"efficiency":[134],"effectiveness.":[136],"Eventually,":[137],"received":[140],"positive":[141],"feedbacks":[142],"personnel":[146],"who":[147],"our":[149],"prototype.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}