OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Development of a Machine Learning Model Using Limited Features to Predict 6-Month Mortality at Treatment Decision Points for Patients With Advanced Solid Tumors
George Chalkidis, Jordan P. McPherson, Anna C. Beck, et al.
JCO Clinical Cancer Informatics (2022), Iss. 6
Open Access | Times Cited: 7
George Chalkidis, Jordan P. McPherson, Anna C. Beck, et al.
JCO Clinical Cancer Informatics (2022), Iss. 6
Open Access | Times Cited: 7
Showing 7 citing articles:
Predicting 30-day mortality with routine blood tests in patients undergoing palliative radiation therapy: A comparison of logistic regression and gradient boosting models
Tae Hoon Lee, Sang Hoon Seo, Hyunju Shin, et al.
Radiotherapy and Oncology (2025), pp. 110830-110830
Closed Access
Tae Hoon Lee, Sang Hoon Seo, Hyunju Shin, et al.
Radiotherapy and Oncology (2025), pp. 110830-110830
Closed Access
External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors
George Chalkidis, Jordan P. McPherson, Anna C. Beck, et al.
JAMA Network Open (2023) Vol. 6, Iss. 8, pp. e2327193-e2327193
Open Access | Times Cited: 7
George Chalkidis, Jordan P. McPherson, Anna C. Beck, et al.
JAMA Network Open (2023) Vol. 6, Iss. 8, pp. e2327193-e2327193
Open Access | Times Cited: 7
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach
Catherine J. Staes, Anna C. Beck, George Chalkidis, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 1, pp. 174-187
Open Access | Times Cited: 7
Catherine J. Staes, Anna C. Beck, George Chalkidis, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 1, pp. 174-187
Open Access | Times Cited: 7
Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer
Shikai Fang, Shandian Zhe, Hui‐Ming Lin, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 4
Shikai Fang, Shandian Zhe, Hui‐Ming Lin, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 4
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors
Elizabeth A. Sloss, Jordan P. McPherson, Anna C. Beck, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Open Access | Times Cited: 1
Elizabeth A. Sloss, Jordan P. McPherson, Anna C. Beck, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Open Access | Times Cited: 1
Simultaneous care in oncology: Assessment of benefit in relation to symptoms, sex, and age in 753 patients
Antonella Galiano, Stefania Schiavon, Mariateresa Nardi, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 7
Antonella Galiano, Stefania Schiavon, Mariateresa Nardi, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 7
A review of the utility of prognostic tools in predicting 6‐month mortality in cancer patients, conducted in the context of Voluntary Assisted Dying
Lydia Treleaven, Paul A. Komesaroff, Camille La Brooy, et al.
Internal Medicine Journal (2023) Vol. 53, Iss. 12, pp. 2180-2197
Open Access | Times Cited: 3
Lydia Treleaven, Paul A. Komesaroff, Camille La Brooy, et al.
Internal Medicine Journal (2023) Vol. 53, Iss. 12, pp. 2180-2197
Open Access | Times Cited: 3
