CrossRef Text and Data Mining
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.
Predicting 30-day mortality of patients with pneumonia in an emergency department setting using machine-learning models
Soo Yeon Kang, Won Chul Cha, Junsang Yoo, Taerim Kim, Joo Hyun Park, Hee Yoon, Sung Yeon Hwang, Min Seob Sim, Ik Joon Jo, Tae Gun Shin
Clin Exp Emerg Med. 2020;7(3):197-205.   Published online 2020 September 30    DOI: https://doi.org/10.15441/ceem.19.052

Excel Download

Predicting 30-day mortality of patients with pneumonia in an emergency department setting using machine-learning models
Clinical and Experimental Emergency Medicine. 2020;7(3):197-205   Crossref logo
Link1 Link2 Link3

PREDICTING THE MORTALITY OF PNEUMONIA PATIENTS VISITING THE EMERGENCY DEMARTMENT THROUGH MACHINE LEARNING
Respirology. 2017;22:273-273   Crossref logo
Link1 Link2

Predicting 30-day mortality for patients with acute heart failure in the emergency department
The Journal of Emergency Medicine. 2018;54(2):267-268   Crossref logo
Link1 Link2

Predicting mortality among septic patients presenting to the emergency department–a cross sectional analysis using machine learning
BMC Emergency Medicine. 2021;21(1):   Crossref logo
Link1 Link2 Link3

Predicting 90-day readmission for patients with heart failure: a machine learning approach using XGBoost
. 2022;   Crossref logo
Link1 Link2

152 Pulmonary Embolism in Patients With Cancer: Predicting 30-day Mortality
Annals of Emergency Medicine. 2022;80(4):S70   Crossref logo
Link1 Link2

Predicting 72-hour and 9-day return to the emergency department using machine learning
JAMIA Open. 2019;2(3):346-352   Crossref logo
Link1 Link2

Sepsis patient evaluation emergency department (SPEED) score & mortality in emergency department sepsis (MEDS) score in predicting 28-day mortality of emergency sepsis patients
Chinese Journal of Traumatology. 2019;22(6):316-322   Crossref logo
Link1 Link2

Machine learning models to prognose 30-Day Mortality in Postoperative Disseminated Cancer Patients
Surgical Oncology. 2022;44:101810   Crossref logo
Link1 Link2

131: Estimated Glomerular Filtration and 30-Day Mortality in Emergency Department Observation Unit Heart Failure Patients
Annals of Emergency Medicine. 2008;51(4):511   Crossref logo
Link1 Link2

This metadata service is kindly provided by CrossRef from May 29, 2014. Clin Exp Emerg Med has participated in CrossRef Text and Data Mining service since October 29, 2014.