Enhancing Cognitive Frailty Prediction Accuracy Using Conditional Generative Adversarial Networks(CGAN)

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Enhancing Cognitive Frailty Prediction Accuracy Using Conditional Generative Adversarial Networks(CGAN)

Class imbalance is a prevalent issue in real-life scenarios, especially in medical datasets where instances of normal health conditions far outnumber those with health conditions, for example, Cognitive Frailty. This imbalance can lead to predictive models biased towards the majority class, thus dim...

書目詳細資料
發表在:	ACM International Conference Proceeding Series
主要作者:	Ibrahim F.N.A.; Badruddin N.; Ramasamy K.
格式:	Conference paper
語言:	English
出版:	Association for Computing Machinery 2024
在線閱讀:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215947639&doi=10.1145%2f3702138.3702151&partnerID=40&md5=7a185588287fc31fdccf1004508663f7

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