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After the publication of the extended abstract above [1] as part of a long-term project [2-6], it has come to our attention that, although properly presented in oral communication section in the IEEE Healthcom 2014 Conference, some relevant information were inadvertently omitted/incorrectly inserted in the online version of the study. To avoid any further misinterpretations concerning data and for...
iSkin Specialist is an attempt to combine the power of smartphones (which is becoming common globally) with specialist doctors (which is very limited) or to an expert system — to provide quick diagnosis for skin conditions like rash, bug bite, etc. The diagnosis in many cases are simple but without proper diagnosis and treatment, some of these skin conditions can have serious health impact and can...
Some sleep disorders, such as sleep apnea, restless legs syndromes (RLS), and periodic limb movement disorder (PLMD), require a full-night sleep monitoring for diagnosis. Conventional sleep monitoring devices are disturbing and inconvenient for daily scene applications. In this poster paper, we propose a sleep monitoring system by embedding RFID tags into bed cloth and realize two main functions:...
In this paper, we report on a mobile-health intervention study for COPD patients. Mobile devices are used to continuously record relevant patient symptoms, such as lung function, cough intensity, sputum color, vital-signs and activity. Furthermore, behavioral support is provided by a bi-directional communication channel and virtual assistant communication. The goal is to train a predictive algorithm...
In order to study the Kinect and Unity3D combined with the deeper application, based on the use of Kinect to identify the body and made a new attempt for the binding of Unity3D. Using Kinect to get the dynamic behavior in the scene of the human body, to achieve control of the Unity object in the scene. Build the virtual scene in Unity3D platform. The test shows that the use of Kinect for human behavior...
By analyzing the disadvantages of the traditional KNN using lazy learning that directly classify the data based on the K neighboring classes using the majority voting method, a new Sigmoid weighted classification algorithm WKS (Weighted KNN Based On Sigmoid) was proposed. WKS provides a new method for learning and training, since each training data di ∊ D contributes to the correct classification...
Traditional Chinese Medicine (TCM) symptoms are the basis of the diagnosis and differentiation. Analyzing TCM symptoms is significant for discovering the knowledge of TCM. Different doctors of TCM prefers using different terms for the same symptom, which is not conducive to the standardization of TCM knowledge and hinders the heritage of TCM. This paper presents a solution to structure the symptoms...
Traditional Chinese Medicine (TCM) symptoms are the basis of the diagnosis and differentiation. Analyzing TCM symptoms is significant for discovering the knowledge of TCM. Different doctors of TCM prefers using different terms for the same symptom, which is not conducive to the standardization of TCM knowledge and hinders the heritage of TCM. This paper presents a solution to structure the symptoms...
As an effective method in dealing with the massive data, the serial processing, aiming to obtain the useful information quickly, cannot satisfy our calculation requirements with high-performance. However, both distributed computing and parallel computing are good choices in calculating high-volume data with high-performance. As a parallel computing framework based on memory computing large data, Spark...
Objective: Medical data mining is a research hotspot. But medical data often contains missing values, which brings difficulties to the medical data analysis. This work evaluates the performance of several imputation methods. Methods: In this paper, we first simulate the missing data set by completely deleting some data from the complete data set, and use the Euclidean distance KNN, the correlation...
According to the concept system of acupuncture and moxibustion subject, the semantic types of acupoint and acupuncture method are supplemented and adjusted, and their semantic relationships are discussed about and studied, so as to realize the networking of related concepts and terminologies of acupoint and acupuncture methods. We design the classification framework, and construct acupuncture terminology...
The aim of this paper is the non-invasive determination of cardiac output by the bioadmittance signal processing. This method involves exploration of the cardiovascular system activity through the evaluation of the electrical admittance variation of the aorta during the cardiac cycle. The ventricle system modeling — aorta helped establish a new formula to calculate in a simple way the cardiac output...
Medical image segmentation is an important application in medical image processing. In order to improve the efficiency of Medical image segmentation, a method to select optimal threshold by PSO algorithm with Dynamic Inertia Weight(DW-PSO) is proposed. It makes the proportion of the local and global searching ability can be effectively controlled in the whole process of optimal searching. Compared...
The constant rapid growth and development of modern medical technology has resulted in an ever-growing demand for higher quality health monitoring systems. This is especially true for the development of the Internet of Things: as the Internet of Things becomes more ubiquitous in dally life, so does the possibility of, and demand for, the ability to remotely monitor the health of patients at anytime,...
The use of mobile sensing systems (MSS), via smartphone, in various application domains such as (medical and healthcare) are growing rapidly. However, there is a very limited research and development effort put toward exploiting these smartphone sensing technologies to promote human beings wellness and active lifestyle. This paper introduces “Alert Me”, a smartphone application that quantifies the...
In this paper, a transfer bi-directional recurrent neural networks (RNN) is proposed for named entity recognition (NER) in Chinese electronic medical records (EMRs) that aims to extract medical knowledge such as phrases recording diseases and treatments automatically. We propose a two-step procedure where the first step is to train a shallow bi-directional RNN in the general domain, and the second...
Blockchain is a decentralized, trustless protocol that combines transparency, immutability, and consensus properties to enable secure, pseudo-anonymous transactions. Smart contracts are built atop a blockchain to support on-chain storage and enable Decentralized Apps (DApps) to interact with the blockchain programatically. Programmable blockchains have generated interest in the healthcare domain as...
Previous research indicated that persuasive messages contain appeals that match readers' personal traits can change people's attitudes more. However, the relationship between culture matching and the Elaboration Likelihood Model, which is closely related to people's attitudes, is still a question to be studied. Our study specifically focuses on the mechanism behind matching the individualism-collectivism...
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