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Electrocardiogram (ECG) is a key diagnostic tool to visualize the heart's activity and to study its normal or abnormal functioning. Physicians perform routine diagnosis by visually examining the shapes of ECG waveform. However, automatic processing and classification of ECG data would be extremely useful in patient monitoring and telemedicine systems. Such realtime applications require techniques...
This in this paper we present the design of the foundation of an expert system for clinical interpretation of the “-omics” data using methods of big data processing. Such an expert system should be able to classify tumors processing vast volume of input data of different nature (demographic, genomic, clinical, epidemiological, diagnostic) and to be ready to append data in real-time, to update itself,...
We propose an application based experimental work to identify the ringworm images from a set of human skin images. Our approach deals with the 3-level decomposition of the skin images by the Daubechies (DB), Coiflet (CF), Biorthogonal (BO) and Discrete Meyer (DM) wavelets and extraction of the corresponding energy signatures. The discriminatory energy signatures from the different wavelet decomposed...
The 2014 Ebola outbreak in West Africa raised global concern requiring concerted effort from the worldwide scientific community to analyze immune responses, in natural infection and in the context of vaccination and therapy. Herein we review and analyze antibody and T cell epitope data reported in the scientific literature. More than 100 epitopes have been defined for viruses within the Filoviridae...
Existing data publication methods retain the relationship between the quasi-identifier attributes and sensitive attributes of published data. We call them "positive data publication". However, it will lead to potential risk that attackers could deduce the privacy of the corresponding individuals from the published data. Recently, by combining the negative representation with k-anonymity...
Rare disease patient registries are now an essential tool for all clinical stakeholders. These systems' features aim to improve patient treatments by collecting comprehensive electronic patient records. Understanding these data is a vital step towards personalized medicine. Yet, the growing number of disease-specific patient registries brings new challenges for life sciences developers. These systems...
This paper presents a database of iris images collected from disease affected eyes and an analysis related to the influence of ocular diseases on iris recognition reliability. For that purpose we have collected a database of iris images acquired for 91 different eyes during routine ophthalmology visits. This collection gathers samples for healthy eyes as well as those with various eye pathologies,...
Blood vessel extraction from retinal fundus images is an important task in developing the computer-aided diagnostic system for ophthalmologists. In this paper we have presented an algorithm for extraction of blood vessels of retinal fundus images and comparison of different moment invariants used for the extraction of features for the vessel pixels. The algorithm uses neural networks for distinguishing...
In this paper we introduce a new non-invasive, inexpensive and functional tool in order to support physicians and specialists during visits of patients who are affected by neurodegenerative diseases, as well as Huntington's one. The proposed framework succeeds in automatizing International Affective Picture System (IAPS) test which consists of two phases: the first allows to show a sub set of pictures...
Due to the fact that proper dietary planning will maintain the healthiness of patients, plus a food consumption control is an important clinical treatment of certain diseases of medical healthcare. This paper is aimed at proposing a practical solution to generate an automated schedule for both the In- Patient Department (IPD) and Out-Patient department (OPD) for a hospital. The challenges of this...
Cardiovascular disease (CVD) is a big reason of morbidity and mortality in the current living style. Identification of Cardiovascular disease is an important but a complex task that needs to be performed very minutely, efficiently and the correct automation would be very desirable. Every human being can not be equally skillful and so as doctors. All doctors cannot be equally skilled in every sub specialty...
Integrated Pest Management (IPM) is a traditional and systematic way that brings together different pest control strategies and is becoming popular alternative to chemical pesticides, which in turn reduces the hazardous effect of chemical pesticides on agro ecosystem. Information about IPM practices are available mainly in the form of books, journals, magazines, brochures etc. These mediums are not...
ELearning, as an efficient and flexible method of learning, has drawn more and more attention from researchers and practitioners in the past decades. The use of ELearning system is spreading rapidly in today's learning process and it is drastically changing the field of current scenario to get the information. This article describes the framework and methods which will be exploited to disseminate...
Pterygium is an eye disease that commonly affects people living in areas near the equator such as Malaysia, Indonesia etc. and who are expose to excessive wind, sunlight, or sand. It is a form of tissue overgrowth found in the eye. Recently, anterior segment photographed images (ASPIs) have been used for early detection of the disease by incorporating digital image processing (DIP) algorithms techniques...
Detection of nucleic acid biomarker has particular importance for disease diagnosis and environmental safety. Yet the identification of low-abundant nucleic acids with unknown sequence remains extremely challenging. Previously we reported a strategy to identify short cDNA molecules using nicking endonucleases that create sequence-specific topographical labels visible by AFM. As such, the identity...
A new methodology for improving the performance and training of neural network classifiers is presented. The main idea is based on using redundant classifiers in an ensemble in order to guarantee the best generalisation ability of the classifier. As compared to previous designs, a novel method for output combination based on weighted averaging is introduced. The proposed technique consist in considering...
Age related Macular degeneration (AMD) is an ocular disease caused by the extracellular material deposit at retinal pigment level known as drusen. AMD is the major cause of gradual vision loss. Early detection of the disease can be helpful to prevent blindness. Automatic fundus image analysis plays an important role for early diagnose of AMD. In this paper a novel method is presented for the detection...
Through the NetSci High program, an outreach program organized by network scientists to teach and give research oppurtunities to high school students relating to the field of network science, this research was started. As the field of medicine grows and more and more new diseases are discovered that are quite similar to each other, the number of misdiagnoses of these similar diseases can increase...
We propose an intelligent system for processing histological and cytological images for diagnosing breast cancers. The main components of this system are based on a fuzzy-knowledge base and databases. The fuzzy-knowledge base contains rules for diagnosis, obtained from expert facts. The databases contain images and their quantitative characteristics. The software is implemented as ImageJ plugin.
In medical field there is a growing need for development of software to be used for practical applications rather than only in research field. Doctors need not only to know the main symptoms in a patient but also the other factors in life and surrounding that lead to disease in the patient. For collecting all the necessary information about the patient the doctors needs to spend a lot of time with...
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