The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The differential diagnosis of some erythemato-squamous diseases is a major problem in dermatology. This is the case with: psoriasis, seborrhoeic dermatitis, lichen planus, pityriasis rosea, chronic dermatitis, and pityriasis rubra pilaris. Further complicating diagnosis, they all share clinical features, with very few differences. Although biopsies could help physicians, these diseases also share...
To date, there are no reliable markers for making an early diagnosis of schizophrenia before clinical diagnostic criteria are fully met. Neuroimaging and pattern classification techniques are promising tools towards predicting transition to schizophrenia. Here, we investigated the diagnostic performance of a combination of neuroanatomical and clinical data in predicting transition to schizophrenia...
In this study a new dataset are prepared for neuromuscular diseases using scanning EMG method and four new features are extracted. These features are maximum amplitude, phase duration at the maximum amplitude, maximum amplitude times phase duration, and number of peaks. By using statistical values such as mean and variance, number of features has increased up to eight. This dataset was classified...
Plant disease management is an important factor in agriculture as it causes a significant yield loss in crops. Late Blight is the most devastating disease for Potato in most of the potato growing regions in the world. For optimum use of pesticide and to minimize the yield loss, the identification of disease severity is essential. The key contribution here is an algorithm to determine the severity...
Newcastle disease (ND) is one of the most serious infectious diseases of poultry, which have an important economic impact on poultry sector production. The causative agent of the disease is Newcastle disease virus (NDV). NDV strains can be classified into two types according to virulence, namely highly virulent (velogenic) and low virulent (lentogenic) based on their pathogenicity in chickens. In...
This work extends PneumoCAD, a Computer-Aided Diagnosis system for detecting pneumonia in infants using radiographic images, with the aim of improving the system's accuracy and robustness. We implement and compare five con-temporary machine learning classifiers, namely: Naïve Bayes, K-Nearest Neighbor (KNN), Support Vector Machines (SVM), Multi-Layer Perceptron (MLP) and Decision Tree, combined with...
Clinical decision support relies on the findings of epidemiological (longitudinal and cross-sectional) studies on predictive features and risk factors for diseases. Such features flow into the diagnostic procedures. Personalized medicine, which aims to optimize clinical decision making by taking individual characteristics of the patients into account, relies on the findings of epidemiology on groups...
Chronic obstructive pulmonary disease (COPD) is a slowly progressive disease characterized by airway obstruction. Patients suffering from COPD could report exacerbations, which are deteriorations in respiratory health that worsen the course of the disease. The prompt recognition of an exacerbation from daily variations and its early treatment reduces the healing time and the risk of hospitalization...
Spirometric pulmonary function test is a wellestablished test in clinical medicine for the assessment of respiratory diseases. It measures the volume of air inhaled or exhaled as a function of time during forced breathing maneuvers and generates large data set. However, spirometric investigation is often prone to incomplete data sets due to inability of the children and patient to perform this test...
The objective of swine disease diagnosis expert system was aimed at the usage of swine farmers in Thailand for disease diagnosis using symptoms of swine that swine farmers found for diagnosis. Our expert system is useful to swine farmers for the care of ill swine health and decreases the spread of disease in the farm that this leads to swine farmers disadvantage and overall economy. In this research...
We propose a fully-automatic morphometric encoding targeted towards differentiating diseased from healthy cardiac MRI. Existing encodings rely on accurate segmentations of each scan. Segmentation generally includes labour-intensive editing and increases the risk associated with intra- and inter-rater variability. Our morphometric framework only requires the segmentation of a template scan. This template...
We propose a method to adaptively select an optimal cortical segmentation for brain connectivity analysis that maximizes feature-based disease classification performance. In standard structural connectivity analysis, the cortex is typically subdivided (parcellated) into N anatomical regions. White matter fiber pathways from tractography are used to compute an N ×N matrix, which represents the pairwise...
The analysis of anti-nuclear antibodies in HEp-2 cells by Indirect Immunofluorescence (IIF) is considered a powerful, sensitive, and comprehensive test for auto-antibodies analysis for autoimmune diseases. The aim of this study is to explore the use of wavelet texture analysis for automated categorization of auto-antibodies into one of the six categories of immunofluorescent staining. Gray level co-occurrence...
We propose a active learning (AL) approach to segment Crohn's disease (CD) affected regions in abdominal magnetic resonance (MR) images. Our label query strategy is inspired from the principles of visual saliency which has similar considerations for choosing the most salient region. These similarities are encoded in a graph using classification maps and low level features. The most informative node...
In this paper, we address the problem of diagnosis of a chronic eye disease which is the Primary Open Angle Glaucoma (POAG) disease. It is called the “sneak thief” of sight since the slowly and undetected damage of the optic nerve in the early stages of the disease. The research tends to achieve an early and accurate diagnosis of glaucoma based on an ensemble classifier by integrating the principal...
The measurements of performance for healthcare processing are important to healthcare system of the country, the accuracy of information makes the right decision for the leader who set a policies and strategies. According to the Health Promotion and Prevention strategies of The Ministry of Public Health 2011 shown that the major condition affected to Thai people's health are Diabetes Mellitus, Hypertension,...
The study analyzed diagnostic data from 432 patients evaluated in the emergency department for shortness of breath. Electronically recorded heart sounds and brain natriuretic peptide (BNP) were analyzed to determine whether left ventricular systolic dysfunction (LVSD) with heart failure caused each patient's symptoms. In each patient's computerized digital electrocardiogram, measurements of the duration...
In medical field the disease diagnosis is often made based on the knowledge and experience of the medical practitioner. Due to this there are chances of errors, unwanted biases and also takes longer time in accurate diagnosis of disease. In case of heart disease, its diagnosis is most difficult task. It depends on the careful analysis of different clinical and pathological data of the patient by medical...
In medical field the diagnosis of heart disease is most difficult task. It depends on the careful analysis of different clinical and pathological data of the patient by medical experts, which is complicated process. Due to advancement in machine learning and information technology, the researchers and medical practitioners in large extent are interested in the development of automated system for the...
Management of crops from early stage to mature harvest stage involves identification and monitoring of plant diseases, nutrient deficiency, controlled irrigation and controlled use of fertilizers and pesticides. Although the number of remote sensing solutions is increasing, the availability and ground visibility during critical growth stages of crops continue to be major concerns. eAGROBOT (a prototype)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.