A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset

Conclusion: The approach proposed in this paper has effectively reduced the false negative rate with a relatively high overall accuracy, which means a successful decrease in the misdiagnosis rate for stroke prediction. The results are more reliable and valid as the reference in stroke prognosis, and also can be acquired conveniently at a low cost.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research