{"id":"https://openalex.org/W7028287997","doi":null,"title":"Empowering advanced medical decision-making through machine learning in healthcare","display_name":"Empowering advanced medical decision-making through machine learning in healthcare","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W7028287997"},"language":"en","primary_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-035167362","doi":null,"is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/113797","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/113797/Grieger_Diss.pdf","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/113797/Grieger_Diss.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092434153","display_name":"Milena Grieger","orcid":"https://orcid.org/0009-0004-9672-6224","observed_orcids":["https://orcid.org/0009-0004-9672-6224"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Grieger, Milena ca. 20./21. Jh.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5092434153"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7226999998092651,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7226999998092651,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.1331000030040741,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.09440000355243683,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/clinical-decision-making","display_name":"clinical decision-making","score":0.8939999938011169},{"id":"https://openalex.org/keywords/covid-19-triage","display_name":"COVID-19 triage","score":0.8399999737739563},{"id":"https://openalex.org/keywords/activation-function-optimization","display_name":"activation function optimization","score":0.6990000009536743},{"id":"https://openalex.org/keywords/loss-function-optimization","display_name":"loss function optimization","score":0.9559999704360962},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.6539999842643738},{"id":"https://openalex.org/keywords/sensitivity","display_name":"sensitivity","score":0.5809999704360962},{"id":"https://openalex.org/keywords/area-under-the-curve","display_name":"area under the curve","score":0.8679999709129333},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.6499999761581421},{"id":"https://openalex.org/keywords/healthcare-cost-reduction","display_name":"healthcare cost reduction","score":0.36500000953674316}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7189000248908997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6883000135421753},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.6218000054359436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5550000071525574},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.529699981212616},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.37529999017715454},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.32120001316070557},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.29120001196861267},{"id":"https://openalex.org/C51575053","wikidata":"https://www.wikidata.org/wiki/Q72468","display_name":"Bureaucracy","level":3,"score":0.2870999872684479},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2797999978065491},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C106977388","wikidata":"https://www.wikidata.org/wiki/Q2752427","display_name":"Medical research","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-035167362","doi":null,"is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/113797","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/113797/Grieger_Diss.pdf","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:113797","doi":null,"is_oa":false,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/113797","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"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":"doctoralthesis"}],"best_oa_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-035167362","doi":null,"is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/113797","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/113797/Grieger_Diss.pdf","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Hochschulschrift"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8371999859809875}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1098699129","display_name":"KISIK: KI-basierte Prognose- und Optimierungsverfahren in Assistenzsystemen zur effektiven und effizienten Steuerung der Intensivkapazit\u00e4t in deutschen Krankenh\u00e4usern","funder_award_id":"16SV9030","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320311052","display_name":"Deutsches Zentrum f\u00fcr Infektionsforschung","ror":"https://ror.org/028s4q594"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320323215","display_name":"Universit\u00e4tsklinikum Regensburg","ror":"https://ror.org/01226dv09"},{"id":"https://openalex.org/F4320323272","display_name":"Hacettepe \u00dcniversitesi","ror":"https://ror.org/04kwvgz42"},{"id":"https://openalex.org/F4320323383","display_name":"Technische Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/02kkvpp62"},{"id":"https://openalex.org/F4320327730","display_name":"Universit\u00e4tsklinikum K\u00f6ln","ror":"https://ror.org/05mxhda18"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7028287997.pdf","grobid_xml":"https://content.openalex.org/works/W7028287997.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1963710671","https://openalex.org/W1987391560","https://openalex.org/W1988115241","https://openalex.org/W2000445173","https://openalex.org/W2006301673","https://openalex.org/W2040870580","https://openalex.org/W2042881380","https://openalex.org/W2045101371","https://openalex.org/W2093525795","https://openalex.org/W2115157093","https://openalex.org/W2118978333","https://openalex.org/W2148143831","https://openalex.org/W2168192288","https://openalex.org/W2170505850","https://openalex.org/W2512630954","https://openalex.org/W2607113351","https://openalex.org/W2772508390","https://openalex.org/W2897585866","https://openalex.org/W2910187721","https://openalex.org/W2914383481","https://openalex.org/W2915130814","https://openalex.org/W2920893575","https://openalex.org/W2949491641","https://openalex.org/W2954836639","https://openalex.org/W2963691377","https://openalex.org/W2997604048","https://openalex.org/W3001584199","https://openalex.org/W3016108562","https://openalex.org/W3035035250","https://openalex.org/W3144611861","https://openalex.org/W3163490502","https://openalex.org/W3164927052","https://openalex.org/W3199208005","https://openalex.org/W4200277685","https://openalex.org/W4210870697","https://openalex.org/W4221039515","https://openalex.org/W4285172643","https://openalex.org/W4295117783","https://openalex.org/W4317718133","https://openalex.org/W4361298490","https://openalex.org/W4366771523","https://openalex.org/W4383710002"],"related_works":["https://openalex.org/W4386499008","https://openalex.org/W7064015130","https://openalex.org/W4394564658","https://openalex.org/W4410466127","https://openalex.org/W4414684628","https://openalex.org/W7213439304","https://openalex.org/W7216628493","https://openalex.org/W7217086201","https://openalex.org/W7143693837","https://openalex.org/W4206081602"],"abstract_inverted_index":{"Machine":[0],"learning":[1,18,55,74,179],"offers":[2],"significant":[3],"potential":[4],"to":[5,127,181,197],"address":[6],"challenges":[7],"in":[8,56,64,108,132],"healthcare.":[9,95],"This":[10],"dissertation":[11,143,193],"explores":[12],"three":[13,85,145],"key":[14],"contributions":[15,86,117],"of":[16,35,53,102,111,121,151,157,164,175,191,202,209],"machine":[17,54,178],"and":[19,24,40,60,90,104,124,137,172,177,212],"evaluates":[20],"how":[21],"these":[22],"applications":[23],"methods":[25,107,180],"can":[26],"improve":[27,128],"medical":[28,66],"decision-making.":[29],"Motivated":[30],"by":[31,44],"the":[32,45,51,84,100,109,119,140,149,162,173,192,198,203,210],"pressing":[33],"issues":[34],"escalating":[36],"costs,":[37],"nursing":[38],"shortages,":[39],"bureaucratic":[41],"burdens":[42],"exacerbated":[43],"Covid-19":[46,112,183],"pandemic,":[47],"this":[48],"study":[49],"emphasizes":[50],"importance":[52],"assisting":[57],"clinical":[58],"staff":[59],"enhancing":[61],"decision-making":[62],"accuracy":[63],"various":[65],"scenarios.":[67],"The":[68,96,114,142,189],"research":[69,147,204],"focuses":[70],"primarily":[71],"on":[72,79],"supervised":[73],"tasks,":[75],"with":[76,215],"an":[77,195,200,206],"emphasis":[78],"binary":[80,166],"classification.":[81],"It":[82],"categorizes":[83],"into":[87],"one":[88],"application":[89,98],"two":[91,115],"methodological":[92,116],"advancements":[93],"within":[94],"first":[97],"investigates":[99],"use":[101,150],"analytical":[103],"artificial":[105],"intelligence-based":[106],"triage":[110,184],"patients.":[113],"explore":[118],"optimization":[120],"activation":[122,170],"functions":[123,126,153],"loss":[125,152],"crucial":[129],"performance":[130],"metrics":[131],"healthcare,":[133],"such":[134],"as":[135],"sensitivity":[136],"area":[138],"under":[139],"curve.":[141],"addresses":[144],"critical":[146],"questions:":[148],"for":[154,217],"flexible":[155],"planning":[156],"intensive":[158],"care":[159],"unit":[160],"capacity,":[161],"improvement":[163],"sensitivity-based":[165],"classification":[167],"through":[168],"customized":[169],"functions,":[171],"integration":[174],"analytics":[176],"enhance":[182],"while":[185],"ensuring":[186],"algorithm":[187],"explainability.":[188],"organization":[190],"includes":[194],"introduction":[196],"topic,":[199],"overview":[201],"contributions,":[205],"in-depth":[207],"discussion":[208],"results,":[211],"concluding":[213],"remarks":[214],"directions":[216],"future":[218],"research.":[219]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}