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Objective: Atopic dermatitis, also known as the "ectopic dermatitis", which is a kind of intense itching, chronic and recurrent skin disease. In recent years, numerous clinical studies have reported that acupuncture is effective for Atopic dermatitis. This paper aims to assess the clinical efficacy and safety of acupuncture in the treatment of Atopic dermatitis by a systematic review. Methods:...
Named entity recognition (NER) is one of the fundamental tasks in natural language processing, with a high utilization value in the medical domain. The electronic discharge summary is a comprehensive clinical document, with the important legal effect especially in medical disputes, which contains patients' relevant information during hospitalization. Current main writing mode of electronic discharge...
The number and type of digital sources storing healthcare data is increasing more and more, rising the problem of collecting actually dispersed information about a single patient. In this paper we propose an agent-based system to support integration of health-related data extracted from both structured (HIS) and semi-structured (websites and social networks) sources. Integrated data are exported in...
The human brain has self-organization capability after paralysis caused by stork. This needs neuro-rehabilitation for stroke-patients. Recently, robotic technology is successfully applied in the rehabilitation. Most of robot rehabilitation devices are in 2-dimension, and do not have feedback from the environment. The rehabilitation effectiveness is not so good. In this paper, we design a 3-demension...
In this paper we have focused on designing and collecting an infant crying database. The data have been collected using an in-house developed acquisition system. The study has involved 136 infants aged between 0 and 3 months. Seven types of cries have been collected: hunger, pain, eructation, tiredness, discomfort, colic and pathology. Some of the data (about 750 audio/video recordings meaning about...
The AEGLE project aims to advance integrated and personalized healthcare services, by innovatively handling big-biodata both at the cloud and at local healthcare sites. At the local level, AEGLE will focus on real-time processing of large volumes of raw data originating from patient monitoring services. Then at the cloud level, AEGLE will offer an experimental big data research platform to data scientists,...
New drug development costs between 500 million and 2 billion dollars and takes 10-15 years, with a success rate of less than 10%. Drug repurposing is the process of discovering new indications for existing drugs and is becoming an important component of drug development as success rates for novel drugs in clinical trials decrease and costs increase. In the period 2007-2009, drug repurposing led to...
Millions of patients are affected by adverse drug reactions (ADRs) every year. It represents a substantial burden on healthcare resources. Pharmacovigilance using text and data analytics has drawn substantial attention in the recent years. These techniques are mainly extracting the associations between drugs and ADRs using data sources such as spontaneous reporting systems, electronic health records,...
Computational screening of databases have gained immense popularity in the pharmaceutical research and development. To do such screening tests the technique used is Virtual Screening. It uses computer based algorithms and methods which takes into consideration a lot of parameters to discover new ligands on the basis of biological structures. The process of discovering new drugs has now become a crucial...
Tuberculosis is a disease with one of the most leading causes of deaths in the world, however, its fatality index could be reduced if it is diagnosed and treated on time. The Ziehl-Neelsen stained sputum smear method is the most used for bacilli detection and for developing a proper diagnosis by the specialist. Nevertheless, these stained images do not always present an adequate contrast, then, the...
Network pharmacology has become the new approach for drug mechanism research and novel drug design. Drug target prediction based on computational approach became one of the primary approaches. However, due to the diversity and complexity of herbal chemical structures, the performance of herb target prediction based on chemical structure similarity is limited by the quality and the data availability...
Tremor is the most common symptoms of Parkinson's Disease (PD) and Essential Tremor (ET). Its detection and analysis during daily living plays a crucial role in the treatment of PD and ET patients. It is typically assessed in the clinic with certain tremor rating scales, which are qualitative, subject-dependent and do not necessarily reflect the real situation of the patient. In this paper, a system...
This paper solves the problem of prevention of asthma attacks, and also it can predict a future asthma attack based on prevalent asthma triggers. The system forms an opinion of the everyday condition of the user, for example, if the user is doing fine today but might not be fine tomorrow. With the help of neural networks, it is possible to predict precisely and correct the user habits. A user who...
Inferring relevance between microarray experiments stored in a gene expression repository is a helpful practice for biological data mining and information retrieval studies. In this study, we propose a knowledge-based approach for representing microarray experiment content to be used in such studies. The representation scheme is specifically designed for inferring a disease-associated relevance of...
In this paper, we concentrate on how to apply semantic technology (ST) to intelligence decision-making support system (IDSS). Due to the limitations of traditional IDSS with relational database and the superiority of ST in knowledge presentation, we establish a ST-based IDSS aimed at combining IDSS with ST which integrates expert knowledge with RDF triples. Pig disease diagnose is chosen as an example...
The design of the patient cohort is an essential and fundamental part of any clinical patient study. Knowledge of the Electronic Health Records, underlying Database Management System, and the relevant clinical workflows are central to an effective cohort design. However, with technical, semantic, and organizational interoperability limitations, the database queries associated with a patient cohort...
Positron Emission Tomography (PET) imaging is of importance for diagnosing neurodegenerative diseases like Alzheimer Disease (AD). Computer aided diagnosis methods could process and analyze quantitatively these images, in order to better characterize and extract meaningful information for medical diagnosis. This paper presents a novel computer-aided diagnosis technique for brain PET images classification...
In this paper, to integrate android systems, intelligent computing and web service on an intelligent mobile web service computing systems for bioinformatics is proposed. That is, users can send parameters to control the intelligent computing system under Matlab/C#/Java and query from clientside to server-side in the proposed bioinformatics systems with their android phone. Besides, the proposed system...
Stem cell-based regenerative medicine is poised to revolutionize the way diseases are treated. In recent years, induced pluripotent stem (iPS) cells, a newly stem cell species, has attracted significant attention. This paper seeks to understand the pathways along which emerging clinical research efforts in the field of iPS cells is evolved. In particular, the empirical case of age-related macular...
Database maintenance has become an important issue in today's world. Addition or alteration of any field to an existing database schema cost high to a corporation. Whenever new data types are introduced or existing types are modified in a conventional relational database system, the physical design of the database must be changed accordingly. For this reason, it is desirable that a database should...
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