Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods-Reference-Cited by-同舟云学术

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

Published:2016-06 Issue: Volume:61 Page:87-96
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Soguero-Ruiz Cristina,Hindberg Kristian,Mora-Jiménez Inmaculada,Rojo-Álvarez José Luis,Skrøvseth Stein Olav,Godtliebsen Fred,Mortensen Kim,Revhaug Arthur,Lindsetmo Rolv-Ole,Augestad Knut Magne,Jenssen Robert

Funder

Spanish Government

Research Council of Norway

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

1. Cancer in Norway 2011 – cancer incidence, mortality, survival and prevalence in Norway;Larsen,2013

2. Anastomotic leakage as an outcome measure for quality of colorectal cancer surgery;Snijders;BMJ Qual. Saf.,2013

3. Systematic review of methods to predict and detect anastomotic leakage in colorectal surgery;Hirst;Colorectal Dis.,2014

4. Fast-track colorectal surgery;Kehlet;Lancet,2008

5. Surgeons lack predictive accuracy for anastomotic leakage in gastrointestinal surgery;Karliczek;Int. J. Colorectal Dis.,2009

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Possibilities and prospects of artificial intelligence in the treatment of colorectal cancer (review);Koloproktologia;2024-06-21

2. Predicting Colonic Neoplasia Surgical Complications: A Machine Learning Approach;Diseases of the Colon & Rectum;2024-02-06

3. Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review;Clinical Medicine Insights: Oncology;2024-01

4. Integrating cutting-edge technologies: AI, IoT, blockchain and nanotechnology for enhanced diagnosis and treatment of colorectal cancer - A review;Journal of Drug Delivery Science and Technology;2024-01

5. Application Prospect of Artificial Intelligence in the Field of Surgery: Visual Analysis;Advances in Clinical Medicine;2024