Exploring Graph Neural Network in Administrative Medical Dataset

Wei Chen Liu, Chih Chieh Hung, Wen Chih Peng

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

Administrative medical dataset contains medical records of patients. Using administrative medical dataset can extract disease association to help finding comorbidity. Previous methods only use statistics on administrative medical dataset such as computing probabilities of disease occurrence and are limited by the capability of statistics. To enhance hidden information usage of administrative medical dataset, we propose two different methods based on graph neural networks to exploit hidden information in administrative medical dataset. One is using graph neural networks to generate disease embeddings and pass through kNN algorithm to find similar diseases for suggestion to physicians. The other one is that we formulate sequence prediction problem and use gated graph neural network to model every disease sequence by forming session graphs. Different from previous methods for sequence prediction that only consider current sequence, we also consider all sequences in dataset at the same time. Besides, we use position-aware soft-attention mechanism to aggregate disease embeddings to session embeddings and predict the next disease of a patient. We conduct extensive experiments on two methods and show its ability to outperform several baselines.

原文English
主出版物標題Proceedings - 2022 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面107-112
頁數6
ISBN(電子)9798350399509
DOIs
出版狀態Published - 2022
事件27th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2022 - Tainan, Taiwan
持續時間: 1 12月 20223 12月 2022

出版系列

名字Proceedings - 2022 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2022

Conference

Conference27th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2022
國家/地區Taiwan
城市Tainan
期間1/12/223/12/22

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