Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry is a research paper published in Computer Methods and Programs in Biomedicine (2020). On theSindex it has a DataRank of 0. It has been cited 102 times.
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China Medical University Hospital
Grant: BM10701010021
Intramural NIH HHS
Grant: Z99 NS999999
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Keywords
Additional file 1 of A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke
Additional file 1 of A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke
Additional file 1 of Predicting later categories of upper limb activity from earlier clinical assessments following stroke: an exploratory analysis
Additional file 1 of Predicting later categories of upper limb activity from earlier clinical assessments following stroke: an exploratory analysis
Additional file 2 of Predicting later categories of upper limb activity from earlier clinical assessments following stroke: an exploratory analysis
Additional file 2 of Predicting later categories of upper limb activity from earlier clinical assessments following stroke: an exploratory analysis