Current Result Document :
| 한글제목(Korean Title) |
Federated Clinical Decision Support System with Attentive Aggregation |
| 영문제목(English Title) |
Federated Clinical Decision Support System with Attentive Aggregation |
| 저자(Author) |
Chu Myaet Thwal
Ye Lin Tun
Choong Seon Hong
|
| 원문수록처(Citation) |
VOL 49 NO. 01 PP. 0311 ~ 0313 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Leveraging clinical data mining, one of the ultimate goals of a smart city is to provide citizens with innovative healthcare facilities. The advances in artificial intelligence help in achieving this goal as neural network models show their tremendous success in classifying diseases and recommending treatments to patients. However, it becomes challenging for the traditional centralized network to collect a rich amount of sensitive clinical data in one place for implementing a well-generalized model. Thus, we proposed a federated clinical decision support system with an attentive aggregation mechanism that can be a great assistant for healthcare professionals while keeping private clinical data on personal devices. |
| 키워드(Keyword) |
artificial neural network
clinical decision support system
disease prediction
drug recommendation
federated attentive aggregation
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| 파일첨부 |
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