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Table 8 Medicine

From: CatBoost for big data: an interdisciplinary review

Title

The use of data mining methods for the prediction of dementia: evidence from the english longitudinal study of aging

Description

Classify dementia on imbalanced data, maximum cardinality of feature is 50, compare CatBoost to other classifiers

Performance metric

Normalized Gini coefficient

Winner

Convolutional neural network

Reference

[26]

Title

A novel fracture prediction model using machine learning in a community-based cohort

Description

Use CatBoost to predict fragility fracture

Performance metric

AUC

Winner

CatBoost

Reference

[24]

 

An efficient novel approach for iris recognition based on stylometric features and machine learning techniques

Description

Use CatBoost after doing feature extraction from image data converted to base-64 encoded data

Performance metric

AUC

Winner

multiboostAB

Reference

[23]