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Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictors, which could be useful to devise a web interface for VTE risk stratification in chemotherapy-treated cancer patients. This study was designed to val...
שמור ב:
| הוצא לאור ב: | Dis Markers |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Hindawi
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5623790/ https://ncbi.nlm.nih.gov/pubmed/29104344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/8781379 |
| תגים: |
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