Aug 29, 2024 · Methods To better represent electronic medical record text, we extract the text's local features and multilevel sequence interaction information ...
Therefore, this paper proposes a novel deep learning method called Multi-view Hierarchical Learning Network (MHLN) for patient similarity measurement. This ...
Similarity calculation model between patients with. Chinese electronic medical records based on multi-view hierarchical learning network. Huina Wang. Faculty ...
Similarity Calculation Model Between Patients with Chinese Electronic Medical Records Based on Multi-View Hierarchical Leaning Network. H Wang, J Li, B Liu ...
May 10, 2022 · In this paper, we propose a multi-model PSN that considers heterogeneous static and dynamic data. The combination of deep learning models and ...
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Patient similarity is defined as the similarity between two patients' diagnoses sets rather than a dichotomous (absence/presence of just one disease). The ...
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Dec 25, 2021 · This research proposes a convolution neural network-based model that jointly combines feature learning and similarity learning to define similarity in patients ...
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Jul 30, 2021 · A new learning-based patient similarity measurement was proposed to measure patients' similarity for heterogeneous electronic medical records (EMRs) data.
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The aim of this study is to compute similarities between patient records in an electronic health record (EHR). This is an important problem because the ...
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[PDF] Disease Diagnosis Based on Multi-View Contrastive Learning for ...
www.iaeng.org › IJAM_53_3_42
Jul 31, 2023 · Abstract—Disease diagnosis based on electronic medical records (EMRs) is one of the important research contents of intelligent healthcare.
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What are the metrics for patient similarity?