Abstract

Info

Title:: Design of an intelligent reservation platform for outpatient venous blood collection based on artificial spiking neural network

Author(s):: HU Shiwei; LI Nan; XU Li; Information Center, West China Hospital, Sichuan University, Chengdu 610041, China

Keywords:: Keywords: spiking neural network outpatient venous blood collection multilayer bidirectional LSTM network PDCA model reservation platform

Abstract:: Abstract: A novel intelligent reservation platform for outpatient venous blood collection is established based on artificial spiking neural network. In the data source integration processing module, a local recursive artificial spiking neural network is designed based on the spiking neural network to realize the integration of multiple types of reservation data sources. In the sequence feature mining module, a multilayer bidirectional LSTM network is used to establish a PDCA model for extracting the morphological and semantic features of the outpatient venous blood collection appointment data, and the sequence feature entity information is fused through multilayer bidirectional LSTM network. In the reservation module, the intelligent reservation of outpatient venous blood collection is mainly completed through self-service equipment and the Internet, and the outpatient venous blood collection reservation programs of the self-service equipment and the Internet page are written through JavaScript. The platform database is composed of various data tables, including doctor information table, appointment time point allocation table, etc. The platform performance test results show that the database query rate per second of the designed platform is higher. The highest queries per second reaches 54 239, and the information extraction accuracy is up to 98.60%.