Name
Title | ||
|---|---|---|
Prediction of lung cancer patient survival via supervised machine learning classification techniques. |
Abstract | ||
|---|---|---|
•Compared supervised machine learning algorithms to determine predictive correlation.•The models perform well with low to moderate lung cancer patient survival times.•Created a custom ensemble, enabling evaluation of each model’s predictive power.•Results of the models are consistent with a classical Cox proportional hazards model. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ijmedinf.2017.09.013 | International Journal of Medical Informatics |
Keywords | Field | DocType |
Lung cancer,SEER database,Machine learning,Data classification,Supervised classification,Biomedical big data | Data mining,Decision tree,Proportional hazards model,Computer science,Support vector machine,Mean squared error,Supervised learning,Artificial intelligence,Statistical classification,Machine learning,Gradient boosting,Linear regression | Journal |
Volume | ISSN | Citations |
108 | 1386-5056 | 5 |
PageRank | References | Authors |
0.48 | 11 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chip M Lynch | 1 | 5 | 0.48 |
| Behnaz Abdollahi | 2 | 7 | 0.85 |
| Joshua D Fuqua | 3 | 5 | 0.48 |
| Alexandra R de Carlo | 4 | 5 | 0.48 |
| James A Bartholomai | 5 | 5 | 0.48 |
| Rayeanne N Balgemann | 6 | 5 | 0.48 |
| Victor H van Berkel | 7 | 6 | 0.83 |
| Hermann B Frieboes | 8 | 9 | 2.52 |