An Attention-based Recurrent Neural Networks Framework for Health Data Analysis

Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri

Research output: Contribution to journalConference articlepeer-review


In this paper we focus on prediction of health status of patients from the historical Electronic Health Records (EHR). We propose a multi-task framework that can monitor the multiple status of diagnoses. Patients’ historical records are fed into a Recurrent Neural Network (RNN) which memorizes all the past visit information, and then a task-specific layer is trained to predict multiple diagnoses. Experimental results show that prediction accuracy is reliable if compared to widely used approaches 1.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
StatePublished - 2018
Event26th Italian Symposium on Advanced Database Systems, SEBD 2018 - Castellaneta Marina (Taranto), Italy
Duration: Jun 24 2018Jun 27 2018

All Science Journal Classification (ASJC) codes

  • General Computer Science


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