Name
Title | ||
|---|---|---|
Framework for the Automated Validation of Nomograms for the Prediction of Cancer Outcomes |
Abstract | ||
|---|---|---|
Cancer nomograms are predictive models which help to predict treatment-specific outcomes based on pre-treatment clinical information. Using an example nomogram for prostate cancer, we describe a method for the automated extraction of specific cancer markers and outcomes from the electronic medical record to enable the efficient validation of nomograms. This allows the routine, independent evaluation of these prediction tools by other treatment centers. The error introduced by the extraction system is quantifiable and can therefore be used to determine the required patient sample size. This efficient method for evaluating a nomogram can hasten its general acceptance as an important decision support tool for physicians and patients. |
Year | Venue | Keywords |
|---|---|---|
2004 | METMBS '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS AND ENGINEERING TECHNIQUES IN MEDICINE AND BIOLOGICAL SCIENCES | nomogram validation,information extraction |
Field | DocType | Citations |
Nomogram,Medical physics,Medicine,Cancer | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew A. Chen | 1 | 6 | 1.70 |
| Frank Meng | 2 | 39 | 11.05 |
| Roderick Y. Son | 3 | 4 | 1.99 |
| Ricky K. Taira | 4 | 459 | 240.06 |
| Bernard M. Churchill | 5 | 6 | 1.64 |
| Hooshang Kangarloo | 6 | 104 | 17.48 |