Artificial Intelligence

Chapter 13

Transfer Learning to Enhance Amenorrhea Status Prediction in Cancer and Fertility Data with Missing Values

Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, and Michelle Peate

University of Melbourne

CONTENTS

13.1   Introduction

13.2   Related Work

13.2.1   Amenorrhoea Status Prediction

13.2.2   Missing Value Imputation

13.2.3   Transfer Learning

13.2.3.1   CCA-Based Transfer Learning

13.3   Method

13.3.1   Unified Feature Representation with Imputation

13.3.2   Nearest Pairing Methods

13.3.3   CCA Transformation

13.4   Experiments and Result

13.4.1   Data Description

13.4.2   Result

13.4.2.1   Distance Metrics Evaluation

13.4.2.2   Prediction Accuracy

13.4.3   Discussion

13.5   Conclusion

Acknowledgement

References ...