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In this paper, the characteristics and effects of the data-open, function-reform and data-governance in the process of dealing with the challenges brought by the age of big data, were analyzed firstly. In China, these action plans adopted by governments have brought new changes in government functions restructuring, leading to a new pattern of government information resources management. Secondly,...
Oral squamous cell carcinomas (OSCC) is the most common head and neck cancer worldwide, with more than 300,000 new cases being diagnosed annually. Studies have shown that miRNAs are involved in the process of growth, differentiation, apoptosis, invasion and metastasis of OSCC tumor cells. How miRNAs work together to contribute to this process is still largely unknown. The goal of our study was to...
Dental pulp stem cells (DPSCs) are stem cellspresent in the dental pulp and have same renewal anddifferentiating properties as bone marrow cells. Hence, DPSCs canbe used for future regenerative therapies of various diseases.Previous studies show that DPSCs would lose their differentiationcapability during long-term passage when they were cultured inmedium promoting differentiation. Researchers have...
It is well known that excessive drinking could result in human diseases (e.g., liver disease and cardiovascular disease). To investigate the underlying mechanisms of the effects of alcohol consumption, dental pulp stem cells have been used due to their self-renewal capability, multi-lineage differentiation, and clonogenic efficiency. Researchers usually focus on detecting genes having different mean...
Moderate alcohol consumption has health benefits of adults, while excessive alcohol has poisonous effects on numerous different organs. However, the underlying molecular mechanisms of this phenomenon are still largely unclear yet. Human dental pulp stem cells (hDPSCs) have been used as models to investigate the effect of alcohol (EtOH) on gene expression. It has been demonstrated that both EtOH dosage...
Electronic medical records (EMRs) have high value for research, as they contain the patient's personal information, medical history, clinical examination, treatment process, and other information. Analysis based on EMRs can effectively assist doctors in clinical decision-making, provide data support for clinical research as well as personalized healthcare service for patients. We introduce a novel...
Modern medicine has made immense advance in the medical diagnostic techniques, which benefits the professors an increasingly growing number of physical exam projects with higher accuracy. The result is that, nowadays, it has the promise to make precise disease prevention through monitoring the indexes of the patient's biochemical indicators. In the past, determining the biochemical indicators for...
This work studies the problem of identifying risk factors of Small for Gestational Age (SGA) and building classifiers for SGA prediction. Recently, SGA infants have received more and more concerns as this illness brings many difficulties to them along with their whole life. Some experts have begun to study the risk factors of SGA onset by using traditional statistical ways. Others have used logistic...
Cataract is a lens opacification caused by protein denaturation which leads to a decrease in vision and even results in complete blindness at later stages. The concept of a classification system of automatic cataract detection based on retinal fundus images has been proposed in previous research work which consists of fundus image preprocessing, feature extraction and the building of classifier. This...
In the current era massive datasets in healthcare are becoming much more available for analysis, where numerous features are designed or constructed to represent a patient. Feature selection algorithms play a key role in reducing the data dimension thus speeding up the succeeding learning algorithms as well as improving predicting accuracy. How to select the appropriate subset of features with low...
With the global trend of population aging in industrialized countries, efficient information and communication technologies (ICT) for aiding elders or patients' healthcare have attracted great research attentions. Among these technologies, health state sensing by wearable sensors and mobile phones is an important foundation. It monitors the real-time body states; stores, or sends the result to remote...
It is widely accepted that the high quality healthcare services lie in the effectiveness and efficiency of health problem detection, innovative solution identification, and medical resource allocation, which in turn depend heavily on the proper collection, management and utilization of health information. As the main carrier of the health information, Electronic Medical Record (EMR) is a kind of electronic...
With the recent proliferation of ubiquitous, mobile and cloud-based systems, security, privacy and trust concerns surrounding the use of emerging technologies in the ensuing wake of the Internet of Things (IoT) continues to mount. In most instances, trust and privacy concerns continuously surface as a key deterrent to the adoption of these emergent technologies. The ensuing literature presents a Secure,...
Some disorders and conditions can put a mother or baby at a higher risk for problems, which requires management by a specialist to help ensure the best outcome of the pregnancy. But it is a big challenge in the case of the rural women in urban China, considering their low income, unstable residence and employment, level of knowledge and awareness of maternal health-care. In this paper, a role-based...
Discrete wavelet transform (DWT) is being broadly used in processing digital image, but the large requirement of memory and the time delay limit the DWT usage. For instance, when the image is processed in the space, the realtime processing, low power consumption, reduced complexity and low memory consumption are required. Lifting-based DWT is implemented to lessen complexity. And then the coefficients...
The integration of sensing capability into active RFID tags has recently generated a lot of interest among the RFID community. In any sensor enabled Radio Frequency Identification (RFID) system data collection is done continuously. Data collection in this context can refer to the computation of statistical means and moments, as well as other cumulative quantities that summarize the data obtained by...
Cataract is one of the most common diseases that might cause blindness. Previous research shows that cataract occupies almost 50% in severe visually impairments. Considering the fact that retinal image is one of the most important medical references that help to diagnose the cataract, this paper proposes to use a neural network classifier for automatic cataract detection based on the classification...
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