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The need for a non-invasive technology for endometriosis detection and care
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dc.contributor.author | Hine, Ariane Alice | |
dc.contributor.author | Kuster Filipe Bowles, Juliana | |
dc.contributor.author | Webber, Thais | |
dc.contributor.editor | Hägglund, Maria | |
dc.contributor.editor | Blusi, Madeleine | |
dc.contributor.editor | Bonacina, Stefano | |
dc.contributor.editor | Nilsson, Lina | |
dc.contributor.editor | Cort Madsen, Inge | |
dc.contributor.editor | Pelayo, Sylvia | |
dc.contributor.editor | Moen, Anne | |
dc.contributor.editor | Benis, Arriel | |
dc.contributor.editor | Lindsköld, Lars | |
dc.contributor.editor | Gallos, Parisis | |
dc.date.accessioned | 2023-05-31T14:30:01Z | |
dc.date.available | 2023-05-31T14:30:01Z | |
dc.date.issued | 2023-05-18 | |
dc.identifier | 283574883 | |
dc.identifier | a8548fc3-e068-40ac-9aef-e7cd31249657 | |
dc.identifier | 85159764021 | |
dc.identifier.citation | Hine , A A , Kuster Filipe Bowles , J & Webber , T 2023 , The need for a non-invasive technology for endometriosis detection and care . in M Hägglund , M Blusi , S Bonacina , L Nilsson , I Cort Madsen , S Pelayo , A Moen , A Benis , L Lindsköld & P Gallos (eds) , Caring is sharing - exploting the value in data for health and innovation : proceedings of MIE 2023 . Studies in health technology and informatics , vol. 302 , IOS Press , Amsterdam , pp. 103 - 107 , Medical Informatics Europe 2023 (MIE 2023) , Göteborg , Sweden , 22/05/23 . https://doi.org/10.3233/shti230073 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781643683881 | |
dc.identifier.isbn | 9781643683898 | |
dc.identifier.issn | 0926-9630 | |
dc.identifier.other | ORCID: /0000-0002-8091-6021/work/136288891 | |
dc.identifier.other | ORCID: /0000-0002-5918-9114/work/136289073 | |
dc.identifier.uri | https://hdl.handle.net/10023/27710 | |
dc.description | Funding: Partially supported by Austrian FWF Fellowship M 3338-N (AH). | en |
dc.description.abstract | Endometriosis is a complex, poorly understood, female health condition that can markedly reduce a woman’s quality of life. The gold-standard diagnostic method for endometriosis is invasive laparoscopic surgery, which is costly, not timely, and comes with risks to the patient. We argue that the need for a non-invasive diagnosis procedure, higher quality of patient care and reduced diagnosis delay, can be fulfilled by advances and research to devise innovative computational solutions. To leverage computational and algorithmic techniques, enhanced data recording and sharing are vital. We discuss the potential benefits of using personalised computational healthcare on both the clinician and patient side, reducing the lengthy average diagnosis time (currently around 8 years). | |
dc.format.extent | 5 | |
dc.format.extent | 286310 | |
dc.language.iso | eng | |
dc.publisher | IOS Press | |
dc.relation.ispartof | Caring is sharing - exploting the value in data for health and innovation | en |
dc.relation.ispartofseries | Studies in health technology and informatics | en |
dc.subject | Female reproductive health | en |
dc.subject | Endometriosis | en |
dc.subject | Artifical intelligence | en |
dc.subject | Prediction models | en |
dc.subject | Diagnosis time | en |
dc.subject | Menstrual health | en |
dc.subject | RG Gynecology and obstetrics | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | T-NDAS | en |
dc.subject | MCC | en |
dc.subject.lcc | RG | en |
dc.subject.lcc | QA75 | en |
dc.title | The need for a non-invasive technology for endometriosis detection and care | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.3233/shti230073 | |
dc.identifier.url | https://ebooks.iospress.nl/volume/caring-is-sharing-exploiting-the-value-in-data-for-health-and-innovation-proceedings-of-mie-2023 | en |
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