Titlebook: Smart Health; International Confer Xiaolong Zheng,Daniel Dajun Zeng,Scott J. Leischow Conference proceedings 2016 Springer International Pu

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Jesus E. Nivia,Yesika M. Ramírez,Jorge E. Camargon Ihrem rheinischen Verbreitungsgebiet natürlich Gespr?chsstoff. Was ist mit der Teilnahme des Bürgermeisters am Karnevalsumzug? Soll man die Kosten des Rosenmontags für die Region darstellen? Und die ?rtlichen Anonymen Alkoholiker haben eine Pressemittelung ver?ffentlicht, in der vor Rückf?llen in

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SilverLink: Smart Home Health Monitoring for Senior Care) and China (the reverse 4-2-1 family pyramid due to one child policy). Despite failing health, most senior citizens prefer to live independently at home and hence the focus of current healthcare technologies have shifted from traditional clinical care to “at-home” care for the senior citizens. We p

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Real-Time Models to Predict the Use of Vasopressors in Monitored Patientss possible to help in the decision making process of clinics, therefore to reduce the difficulties that are typically faced. This study focuses on easing some of those difficulties by presenting real-time data mining models capable of predicting if a monitored patient, typically admitted in intensiv

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An Approach to Automate Health Monitoring in Compliance with Personal Privacyzations, fitness centers, manufacturers of telemedicine devices and medical systems for constant monitoring, long-term analysis and quick alerting over sensitive patient’s data. This paper provides the extended literature analysis on topic and summarizes state-of-the-art in development of Personal M

致敬

Mobile Cloud Computing as an Alternative for?Monitoring Child Mental Disorders This paper presents a system based on mobile and cloud computing technologies for managing multimodal and unstructured data in an ubiquitous and pervasive platform. The proposed system allows parents, teachers and tutors to collect information of children behavior. The proposed system aims to provi

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Network Analysis of Ecological Momentary Assessment Data for Monitoring and?Understanding Eating Behones) that allow the collection of repeated assessments of several measures (predictors) that affect a target variable. Eating behavior studies can benefit from EMA techniques by analysing almost real-time information regarding food intake and the related conditions and circumstances. In this paper,

STELL

Chronic Disease Related Entity Extraction in Online Chinese Question and Answer Servicesges in Chinese chronic disease entity extraction from three aspects: Chinese health lexicons construction, feature development, and equivalence conjunctions tagging. We construct large scale Chinese health lexicons based on expert knowledge and the Web resources; develop a feature extraction approac

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