Titlebook: Smart Health; International Confer Hsinchun Chen,Daniel Zeng,Chunxiao Xing Conference proceedings 2019 Springer Nature Switzerland AG 2019

lethargy

BAN

intrude

Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Randove (ROC) of 0.99. Meanwhile, the average F1 score for the WRF (97.56%) exceeded that of the existing state-of-the-art models. The experimental results showed that the proposed model was promising for intelligent evaluating antenatal fetal health status using seriously imbalanced CTG data.

ethnology

The Research on Spatial Accessibility to Healthcare Services Resources in Tianhe, Guangzhoual accessibility difference in medical facilities in Tianhe District, and the layout of medical facilities lacks certain rationality. Where healthcare service resources are concentrated but medical care is crowded, hospital pressure should be minimized and some patients should be referred to the sur

感激小女

A Comprehensive Database Based on Multiple Data Sources to Facilitate Diagnosis of ASDand unstructured forms are collected from different devices or protocols and then they are deposited and accessed based on Hadoop platform. Furthermore, we design a classification framework to identify ASD patients by integrating the complementary information from multiple data sources. Deep learnin

capillaries

An Empirical Study on the Influencing Factors of the Continued Usage of Fitness Appse impact on continued usage behavior; the mediating roles of continued usage attitude with respect to the relationship between the task-technology fit and performance impacts, as well as continued usage behavior, were supported by empirical results; and the performance impacts played a significant i

Visual-Acuity

Understanding Opioid Addiction with Similarity Network-Based Deep Learningreatment from the patient narratives and address the challenge of morphs. SINDEL significantly outperforms state-of-the-art baseline models, reaching an F1 score of 76.79%. Thirteen types of OUD treatment barriers were identified and verified by domain experts. This study contributes to IS literatur

savage

Analysis of Smart Health Research Context and Development Trend Driven by Big Datadea formation, practical application, technological progress, cross-border cooperation to the final relatively stable. But found some problems such as underutilization of data, lack of informationization of critical illness, low recognition of family health systems, and problems between government a

machination

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