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Found 2 papers, 2 papers with code
A Comparative Study for Time-to-Event Analysis and Survival Prediction for Heart Failure Condition using Machine Learning Techniques
The time starting from a distinct point to the occurrence of a certain event, for example death is known as survival time and the corresponding analysis is known as survival analysis.
Malaria Parasite Detection using Efficient Neural Ensembles
This study aims to build a robust system by applying deep learning techniques such as transfer learning and snapshot ensembling to automate the detection of the parasite in the thin blood smear images.
Ranked #1 on
Medical Image Classification
on Malaria Dataset
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