T3C: improving a decision tree classification algorithm's interval splits on continuous attributes
P Tzirakis, C Tjortjis - Advances in Data Analysis and Classification, 2017 - Springer
This paper proposes, describes and evaluates T3C, a classification algorithm that builds
decision trees of depth at most three, and results in high accuracy whilst keeping the size of …
decision trees of depth at most three, and results in high accuracy whilst keeping the size of …
Impact of modifiable and non-modifiable risk factors on the prediction of stroke disease
P Govindarajan, KS Ravichandran… - … on Trends in …, 2017 - ieeexplore.ieee.org
The entire paper portrays the way in which the occurrence of stroke is predicted by
modifiable and non-modifiable factors such as diabetes mellitus (DM), hypertension, gender …
modifiable and non-modifiable factors such as diabetes mellitus (DM), hypertension, gender …