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Stratification of Length of Stay Prediction following Surgical Cytoreduction in Advanced High-Grade Serous Ovarian Cancer Patients Using Artificial Intelligence; the Leeds L-AI-OS Score.
Laios, Alexandros; De Freitas, Daniel Lucas Dantas; Saalmink, Gwendolyn; Tan, Yong Sheng; Johnson, Racheal; Zubayraeva, Albina; Munot, Sarika; Hutson, Richard; Thangavelu, Amudha; Broadhead, Tim; Nugent, David; Kalampokis, Evangelos; de Lima, Kassio Michell Gomes; Theophilou, Georgios; De Jong, Diederick.
Affiliation
  • Laios A; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • De Freitas DLD; Department of Chemistry, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.
  • Saalmink G; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Tan YS; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Johnson R; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Zubayraeva A; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Munot S; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Hutson R; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Thangavelu A; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Broadhead T; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Nugent D; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
  • Kalampokis E; Information Systems Lab., Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.
  • de Lima KMG; Center for Research & Technology HELLAS (CERTH), 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece.
  • Theophilou G; Department of Chemistry, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.
  • De Jong D; ESGO Centre of Excellence for Ovarian Cancer Surgery, Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds LS9 7TF, UK.
Curr Oncol ; 29(12): 9088-9104, 2022 11 23.
Article in En | MEDLINE | ID: mdl-36547125
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Artificial Intelligence Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Female / Humans Language: En Journal: Curr Oncol Year: 2022 Document type: Article Affiliation country: United kingdom Country of publication: Switzerland
Fulltext
Add to My VHL
Print
XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Artificial Intelligence Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Female / Humans Language: En Journal: Curr Oncol Year: 2022 Document type: Article Affiliation country: United kingdom Country of publication: Switzerland