טוען...
Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage
OBJECTIVE: To determine whether machine learning (ML) algorithms can improve the prediction of delayed cerebral ischemia (DCI) and functional outcomes after subarachnoid hemorrhage (SAH). METHODS: ML models and standard models (SMs) were trained to predict DCI and functional outcomes with data colle...
שמור ב:
| הוצא לאור ב: | Neurology |
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| Main Authors: | , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Lippincott Williams & Wilkins
2021
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7905786/ https://ncbi.nlm.nih.gov/pubmed/33184232 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1212/WNL.0000000000011211 |
| תגים: |
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