Machine learning models to prognose 30-Day Mortality in Postoperative Disseminated Cancer Patients-Reference-Cited by-同舟云学术

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Machine learning models to prognose 30-Day Mortality in Postoperative Disseminated Cancer Patients

Published:2022-09 Issue: Volume:44 Page:101810
ISSN:0960-7404
Container-title:Surgical Oncology
language:en
Short-container-title:Surgical Oncology

Author:

Ganguli Reetam^ORCID,Franklin Jordan,Yu Xiaotian,Lin Alice,Lad Rishik,Heffernan Daithi S.^ORCID

Publisher

Elsevier BV

Subject

Oncology,Surgery

Reference52 articles.

1. Lung cancer prognostic index: a risk score to predict overall survival after the diagnosis of non-small-cell lung cancer;Alexander;Br. J. Cancer,2017

2. The Nottingham Prognostic Index: five- and ten-year data for all-cause survival within a screened population;Fong;Ann R Coll Surg Engl.,2015

3. The Palliative Prognostic Index: a scoring system for survival prediction of terminally ill cancer patients;Morita;Support. Care Cancer,1999

4. The contagion of optimism: the relationship between patient optimism and palliative care clinician overestimation of survival among hospitalized patients with advanced cancer;Ingersoll;Psychooncology,2019

5. Estimating 1-year mortality for high-risk primary care patients using the "Surprise" question;Lakin;JAMA Intern. Med.,2016

Cited by 3 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. Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis;Journal of Gastrointestinal Surgery;2024-06

2. Novel Generative Recurrent Neural Network Framework to Produce Accurate, Applicable, and Deidentified Synthetic Medical Data for Patients With Metastatic Cancer;JCO Clinical Cancer Informatics;2023-05

3. The use of natural language processing in palliative care research: A scoping review;Palliative Medicine;2022-12-10

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