Bias and Class Imbalance in Oncologic Data—Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets

Bias and Class Imbalance in Oncologic Data—Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets

Recent technological developments have led to an increase in the size and types of data in the medical field derived from multiple platforms such as proteomic, genomic, imaging, and clinical data. Many machine learning models have been developed to support precision/personalized medicine initiatives...

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Bibliographic Details
Main Authors: Erdal Tasci, Ying Zhuge, Kevin Camphausen, Andra V. Krauze
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Cancers
Subjects:
class imbalance
oncology
machine learning
artificial intelligence
clinical data
Online Access:https://www.mdpi.com/2072-6694/14/12/2897

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