AIMC Topic: Sensitivity and Specificity
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Applying machine learning to gait analysis data for disease identification.
Studies in health technology and informatics
Jan 1, 2015
A machine-learning framework to identify the specific disease afflicting certain patients diagnosed with Neurological and Neuromuscular Diseases (NND) or Juvenile Idiopathic Arthritis (JIA) using only gait analysis data is presented. Classifying such...
GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases.
Studies in health technology and informatics
Jan 1, 2015
This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based...
Content based image retrieval using local binary pattern operator and data mining techniques.
Studies in health technology and informatics
Jan 1, 2015
Content based image retrieval (CBIR) concerns the retrieval of similar images from image databases, using feature vectors extracted from images. These feature vectors globally define the visual content present in an image, defined by e.g., texture, c...
Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype.
Studies in health technology and informatics
Jan 1, 2015
The aim of this research is to develop a novel GA-ANFIS expert system prototype for classifying heart disease degree of a patient by using heart diseases attributes (features) and diagnoses taken in the real conditions. Thirteen attributes have been ...
Supervised machine learning algorithms to diagnose stress for vehicle drivers based on physiological sensor signals.
Studies in health technology and informatics
Jan 1, 2015
Machine learning algorithms play an important role in computer science research. Recent advancement in sensor data collection in clinical sciences lead to a complex, heterogeneous data processing, and analysis for patient diagnosis and prognosis. Dia...
Multiple hypotheses image segmentation and classification with application to dietary assessment.
IEEE journal of biomedical and health informatics
Jan 1, 2015
We propose a method for dietary assessment to automatically identify and locate food in a variety of images captured during controlled and natural eating events. Two concepts are combined to achieve this: a set of segmented objects can be partitioned...
Exploiting expert systems in cardiology: a comparative study.
Advances in experimental medicine and biology
Jan 1, 2015
An improved Adaptive Neuro-Fuzzy Inference System (ANFIS) in the field of critical cardiovascular diseases is presented. The system stems from an earlier application based only on a Sugeno-type Fuzzy Expert System (FES) with the addition of an Artifi...
Management and modeling of balance disorders using decision support systems: the EMBALANCE project.
Advances in experimental medicine and biology
Jan 1, 2015
In this work, we present the concept, the methodological ideas and the architecture of the EMBALANCE platform. EMBALANCE platform extends existing but generic and currently uncoupled balance modeling activities, leading to a multi-scale and patient-s...
Towards an expert system for accurate diagnosis and progress monitoring of Parkinson's disease.
Advances in experimental medicine and biology
Jan 1, 2015
While Parkinson's disease is a chronic and progressive movement disorder, no one can predict which symptoms will affect an individual patient. At the present time there is no cure for Parkinson's disease but instead a variety of alternative treatment...
Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2015
BACKGROUND: Segmentation of brain tumor from Magnetic Resonance Imaging (MRI) becomes very complicated due to the structural complexities of human brain and the presence of intensity inhomogeneities.
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