Name
Abstract | ||
|---|---|---|
This paper presents a data-driven method to study the relationship of survival and clinical information of patients. The machine learning models were established to study the survival situation at the time of interest based on survival analysis. The way to determine the time of interest is an innovation of this paper. The distribution of survival time is considered, namely the three quartiles, as well as the traditional analysis experience is taken into consideration. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3233/978-1-61499-830-3-1263 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Colorectal Neoplasms,Machine Learning,Survival Analysis | Oncology,Data-driven,Internal medicine,Medicine,Cancer staging | Conference |
Volume | ISSN | Citations |
245 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan Gao | 1 | 264 | 47.87 |
| Yu Tian | 2 | 49 | 19.62 |
| Shengqiang Chi | 3 | 0 | 0.34 |
| Yao Lu | 4 | 42 | 23.11 |
| Xinhang Li | 5 | 0 | 0.34 |
| Tianshu Zhou | 6 | 0 | 0.68 |
| Jing-Song Li | 7 | 222 | 11.02 |