A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions is a research paper published in IEEE Access (2021). On theSindex it has a DataRank of 0.189. It has been cited 2 times, with 2 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0.0239
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 2 citers.
National Institutes of Health (NIH/NIGMA), Grant Title: A Novel Probabilistic Methodology for Prediction of Emerging Diseases in Patients with Multiple Chronic Condition
Grant: 1SC2GM118266-01
VA Health Services Research and Development Service, Grant Title: Identifying and Validating Complex Comorbidity Clusters in OEF-OIF Veterans
Grant: I01 HX000329-05
VA Clinical Services Research and Development Service, Grant Title: Chronic Effects of Neurotrauma Epidemiology Study
Grant: I01 CX001246
HSRD VA
Grant: I01 HX000329
NIGMS NIH HHS
Grant: SC2 GM118266
FWCI
0.13
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords