{"id":"https://openalex.org/W4226484186","doi":"https://doi.org/10.1007/978-3-030-78307-5_10","title":"Applying AI to Manage Acute and Chronic Clinical Condition","display_name":"Applying AI to Manage Acute and Chronic Clinical Condition","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226484186","doi":"https://doi.org/10.1007/978-3-030-78307-5_10"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-78307-5_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-78307-5_10","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-78307-5_10.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technologies and Applications for Big Data Value","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-78307-5_10.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022171927","display_name":"Rachael Hagan","orcid":"https://orcid.org/0000-0002-5802-5169"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Rachael Hagan","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland, UK","Queen's University Belfast, Belfast, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022252332","display_name":"Charles J. Gillan","orcid":"https://orcid.org/0000-0003-3671-7196"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charles J. Gillan","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland, UK","Queen's University Belfast, Belfast, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006230285","display_name":"Murali Shyamsundar","orcid":"https://orcid.org/0000-0003-3797-8080"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Murali Shyamsundar","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland, UK","Queen's University Belfast, Belfast, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022171927"],"corresponding_institution_ids":["https://openalex.org/I126231945"],"apc_list":null,"apc_paid":null,"fwci":0.3426,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55073863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"203","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9957000017166138,"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":0.9957000017166138,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9819999933242798,"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/intensive-care-unit","display_name":"Intensive care unit","score":0.5576093196868896},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5091502070426941},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5004124641418457},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.495017945766449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4806736409664154},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.462552011013031},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4145372807979584},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.41283342242240906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095652997493744},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38627249002456665},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.374724805355072}],"concepts":[{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.5576093196868896},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5091502070426941},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5004124641418457},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.495017945766449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4806736409664154},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.462552011013031},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4145372807979584},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.41283342242240906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095652997493744},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38627249002456665},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.374724805355072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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":2,"locations":[{"id":"doi:10.1007/978-3-030-78307-5_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-78307-5_10","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-78307-5_10.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technologies and Applications for Big Data Value","raw_type":"book-chapter"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/b2905147-ef2f-4eb4-8fed-b87a3edc8b97","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/b2905147-ef2f-4eb4-8fed-b87a3edc8b97","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/470194086/Applying_AI_to_manage_acute_and_chronic_clinical_conditions.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"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":"Hagan, R, Gillan, C J & Shyamsundar, M 2022, Applying AI to manage acute and chronic clinical conditions. in E Curry, S Auer, A J Berre, A Metzger, M S Perez & S Zillner (eds), Technologies and applications for Big Data value. Springer Cham, pp. 203-223. https://doi.org/10.1007/978-3-030-78307-5_10","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-78307-5_10","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-78307-5_10","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-78307-5_10.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technologies and Applications for Big Data Value","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316531","display_name":"Department for the Economy","ror":"https://ror.org/0161w0r98"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226484186.pdf","grobid_xml":"https://content.openalex.org/works/W4226484186.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W152351256","https://openalex.org/W1533309927","https://openalex.org/W1894563348","https://openalex.org/W2004792235","https://openalex.org/W2007051968","https://openalex.org/W2029801524","https://openalex.org/W2033609349","https://openalex.org/W2080579909","https://openalex.org/W2122801790","https://openalex.org/W2141620793","https://openalex.org/W2146440786","https://openalex.org/W2165542070","https://openalex.org/W2177870565","https://openalex.org/W2178549406","https://openalex.org/W2263185714","https://openalex.org/W2334801200","https://openalex.org/W2396881363","https://openalex.org/W2537951005","https://openalex.org/W2605753964","https://openalex.org/W2657631929","https://openalex.org/W2739028090","https://openalex.org/W2762968537","https://openalex.org/W2776803885","https://openalex.org/W2797010621","https://openalex.org/W2802314367","https://openalex.org/W2805712891","https://openalex.org/W2892592994","https://openalex.org/W2896893468","https://openalex.org/W2910642642","https://openalex.org/W2937186836","https://openalex.org/W2945543078","https://openalex.org/W2965520043","https://openalex.org/W2976003057","https://openalex.org/W2990768863","https://openalex.org/W2996394285","https://openalex.org/W3009583110","https://openalex.org/W3025476769","https://openalex.org/W3033545112","https://openalex.org/W3047528319","https://openalex.org/W3083834101","https://openalex.org/W3083992516","https://openalex.org/W3088365441","https://openalex.org/W3092631874","https://openalex.org/W3121352645","https://openalex.org/W3136960503","https://openalex.org/W4236086526","https://openalex.org/W4238254613","https://openalex.org/W4244921287","https://openalex.org/W4245903027","https://openalex.org/W6684327724","https://openalex.org/W6739001092","https://openalex.org/W6959513353","https://openalex.org/W6995868134","https://openalex.org/W7043190190"],"related_works":["https://openalex.org/W2208359343","https://openalex.org/W2562451595","https://openalex.org/W311258919","https://openalex.org/W40494022","https://openalex.org/W2372918149","https://openalex.org/W2053477030","https://openalex.org/W1597645084","https://openalex.org/W160476319","https://openalex.org/W77690704","https://openalex.org/W787402332"],"abstract_inverted_index":{"Abstract":[0],"Computer":[1,163],"systems":[2],"deployed":[3],"in":[4,15,49,116,187,190],"hospital":[5,99,193],"environments,":[6],"particularly":[7],"physiological":[8,179],"and":[9,43,52,71,82,97,119,134,140,153,162,176],"biochemical":[10],"real-time":[11],"monitoring":[12],"of":[13,27,113,166],"patients":[14],"an":[16],"Intensive":[17],"Care":[18],"Unit":[19],"(ICU)":[20],"environment,":[21],"routinely":[22],"collect":[23],"a":[24],"large":[25],"volume":[26],"data":[28,78,180],"that":[29,117],"can":[30],"hold":[31],"very":[32],"useful":[33],"information.":[34],"However,":[35],"the":[36,111,114,160,167,174,191],"vast":[37],"majority":[38],"are":[39,47],"either":[40],"not":[41,148],"stored":[42,48],"lost":[44],"forever":[45],"or":[46],"digital":[50],"archives":[51],"seldom":[53],"re-examined.":[54],"In":[55,169],"recent":[56],"years,":[57],"there":[58],"has":[59],"been":[60],"extensive":[61],"work":[62,87],"carried":[63],"out":[64],"by":[65],"researchers":[66],"utilizing":[67],"Machine":[68],"Learning":[69],"(ML)":[70],"Artificial":[72],"Intelligence":[73],"(AI)":[74],"techniques":[75],"on":[76,121,129],"these":[77],"streams,":[79],"to":[80,89,93,104,150,173,185],"predict":[81],"prevent":[83],"disease":[84],"states.":[85],"Such":[86],"aims":[88],"improve":[90],"patient":[91],"outcomes,":[92],"decrease":[94,98,105],"mortality":[95],"rates":[96],"stays,":[100],"and,":[101],"more":[102],"generally,":[103],"healthcare":[106],"costs.":[107],"This":[108],"chapter":[109,157],"reviews":[110],"state":[112],"art":[115],"field":[118],"reports":[120],"our":[122],"own":[123],"current":[124],"research,":[125],"with":[126],"practicing":[127],"clinicians,":[128],"improving":[130],"ventilator":[131],"weaning":[132],"protocols":[133],"lung":[135],"protective":[136],"ventilation,":[137],"using":[138],"ML":[139],"AI":[141],"methodologies":[142],"for":[143],"decision":[144,188],"support,":[145],"including":[146],"but":[147],"limited":[149],"Neural":[151],"Networks":[152],"Decision":[154],"Trees.":[155],"The":[156],"considers":[158],"both":[159],"clinical":[161],"Science":[164],"aspects":[165],"field.":[168],"addition,":[170],"we":[171],"look":[172],"future":[175],"report":[177],"how":[178],"holds":[181],"clinically":[182],"important":[183],"information":[184],"aid":[186],"support":[189],"wider":[192],"environment.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-05-05T00:00:00"}