Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification is a research paper published in International Journal of Radiation Oncology*Biology*Physics (2024). On theSindex it has a DataRank of 0.467. It has been cited 16 times, with 5 citing works in its 1-hop citation network.
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Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.0417
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Cancer Institute
Grant: R01CA257814
Elekta
Grant: R01CA258827
National Institute of Dental and Craniofacial Research
Grant: R01DE028290
National Institute of Dental and Craniofacial Research
Grant: U01DE032168
National Institute of Dental and Craniofacial Research
Grant: R56/R01DE025248
NCI NIH HHS
Grant: T32 CA261856
NCI NIH HHS
Grant: P30 CA016672
NCI NIH HHS
Grant: R21 CA259839
NCATS NIH HHS
Grant: TL1 TR003169
NCI NIH HHS
Grant: R01 CA280980
NIDCR NIH HHS
Grant: R01 DE025248
National Science Foundation
National Institutes of Health
University of Texas MD Anderson Cancer Center
MeSH Terms