Chen Sirui

TL;DR: In this article, an electronic medical record visualization method and system based on a time axis is presented. And the method comprises the steps: collecting and obtaining patient diagnosis and treatment data in an electronic Medical Record, and building the time axis of the electronic medical Record according to the patient diagnosis, treatment data information; classifying and displaying different diagnosis and event types; and designing a visualization effect according to each event type to realize data decoding and complete visualization of the EHR.

TL;DR: In this paper, an electrocardiogram classification method and system based on a deep residual network was proposed. And the method comprises the steps: collecting marked EEG data, obtaining EEG sample data, a category label, and a key waveform label; Integrating the three data sets and the corresponding relations among the three datasets into a data set, wherein the data set comprises a training set and a verification set; Constructing a basic residual network, and constructing a branch for reconstructing a keywaveform position at a preset position of a mainnetwork of the basic deep residual

TL;DR: Wang et al. as discussed by the authors presented a manifold visualization method for clinical path contrasting and a system to perform clear contrasting for determining the differences between a personal clinical path and the standard clinical path, thereby improving the accuracy of the clinical path cases.

TL;DR: In this paper, a web-based development method and system of a configurable form application front end is presented, which includes the following steps: converting various types of field information in to-be-input data into data structure objects capable of being programmed in web development, wherein the data structure object comprises an input type and a key value attribute.