An explainable machine learning framework for lung cancer hospital length of stay prediction
出版年份 2022 全文链接
标题
An explainable machine learning framework for lung cancer hospital length of stay prediction
作者
关键词
-
出版物
Scientific Reports
Volume 12, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-01-12
DOI
10.1038/s41598-021-04608-7
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study
- (2021) Hana Štorkánová et al. Scientific Reports
- A Nomogram for Predicting Long Length of Stay in The Intensive Care Unit in Patients Undergoing CABG: Results From the Multicenter E-CABG Registry
- (2020) Carmelo Dominici et al. JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA
- Poor preoperative quality of life predicts prolonged hospital stay after VATS lobectomy for lung cancer
- (2020) Cecilia Pompili et al. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
- The efficiency in the ordinary hospital bed management in Italy: An in-depth analysis of intensive care unit in the areas affected by COVID-19 before the outbreak
- (2020) Fabrizio Pecoraro et al. PLoS One
- Quick-SOFA score ≥ 2 predicts prolonged hospital stay in geriatric patients with influenza infection
- (2019) Chien-Chun Yeh et al. AMERICAN JOURNAL OF EMERGENCY MEDICINE
- Multitask learning and benchmarking with clinical time series data
- (2019) Hrayr Harutyunyan et al. Scientific Data
- Shapley additive explanations for NO2 forecasting
- (2019) María Vega García et al. Ecological Informatics
- Length of stay prediction for ICU patients using individualized single classification algorithm
- (2019) Xin Ma et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index
- (2018) Scott Levin et al. ANNALS OF EMERGENCY MEDICINE
- Prediction of Patient Length of Stay on the Intensive Care Unit Following Cardiac Surgery: A Logistic Regression Analysis Based on the Cardiac Operative Mortality Risk Calculator, EuroSCORE
- (2018) Katherine Meadows et al. JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA
- OUP accepted manuscript
- (2018) NEUROSURGERY
- Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
- (2017) Benjamin Shickel et al. IEEE Journal of Biomedical and Health Informatics
- Predicting the prolonged length of stay of general surgery patients: a supervised learning approach
- (2016) Mao-Te Chuang et al. International Transactions in Operational Research
- MIMIC-III, a freely accessible critical care database
- (2016) Alistair E.W. Johnson et al. Scientific Data
- Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health
- (2015) Guthrie S. Birkhead et al. Annual Review of Public Health
- Comparison of Regression Methods for Modeling Intensive Care Length of Stay
- (2014) Ilona W. M. Verburg et al. PLoS One
- Comparison of APACHE III, APACHE IV, SAPS 3, and MPM 0 III and Influence of Resuscitation Status on Model Performance
- (2012) Mark T. Keegan et al. CHEST
- Admission of advanced lung cancer patients to intensive care unit: A retrospective study of 76 patients
- (2011) Claire Andréjak et al. BMC CANCER
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now