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

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

(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-term care. Artificial Intelligence (AI) technologies could help monitor hospital stays. We developed an AI-based novel predictive LOS score for advanced-stage high-grade serous ovarian cancer (HGSOC) pa...

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Bibliographic Details
Main Authors: Alexandros Laios, Daniel Lucas Dantas De Freitas, Gwendolyn Saalmink, Yong Sheng Tan, Racheal Johnson, Albina Zubayraeva, Sarika Munot, Richard Hutson, Amudha Thangavelu, Tim Broadhead, David Nugent, Evangelos Kalampokis, Kassio Michell Gomes de Lima, Georgios Theophilou, Diederick De Jong
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Current Oncology
Subjects:
machine learning
deep learning
artificial intelligence
surgical cytoreduction
epithelial ovarian cancer
length of stay
Online Access:https://www.mdpi.com/1718-7729/29/12/711

Internet

https://www.mdpi.com/1718-7729/29/12/711

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