AIMC Topic: Neural Networks, Computer

Clear Filters Showing 31321 to 31330 of 31376 articles

Neural network models - a novel tool for predicting the efficacy of growth hormone (GH) therapy in children with short stature.

Neuro endocrinology letters Jan 1, 2015
INTRODUCTION: The leading method for prediction of growth hormone (GH) therapy effectiveness are multiple linear regression (MLR) models. Best of our knowledge, we are the first to apply artificial neural networks (ANN) to solve this problem. For ANN...
Recombinant Proteins Humans Male Outcome Assessment, Health Care Neural Networks, Computer Body Height Adolescent Female Human Growth Hormone Dwarfism Child Growth Hormone
View on PubMed

Acute appendicitis diagnosis using artificial neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field.
Humans Adult Neural Networks, Computer Sensitivity and Specificity Republic of Korea Severity of Illness Index ROC Curve Male Female Diagnosis, Computer-Assisted Acute Disease Middle Aged Young Adult Adolescent Appendicitis Hospitals, University
View on PubMed DOI

BP neural network tuned PID controller for position tracking of a pneumatic artificial muscle.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Although Pneumatic Artificial Muscle (PAM) has a promising future in rehabilitation robots, it's difficult to realize accurate position control due to its highly nonlinear properties.
Muscles Computer Simulation Models, Theoretical Robotics Prostheses and Implants Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Novel images extraction model using improved delay vector variance feature extraction and multi-kernel neural network for EEG detection and prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Advanced intelligent methodologies could help detect and predict diseases from the EEG signals in cases the manual analysis is inefficient available, for instance, the epileptic seizures detection and prediction. This is because the diver...
Humans Neural Networks, Computer Algorithms Electroencephalography Epilepsy Signal Processing, Computer-Assisted
View on PubMed DOI

Fuzzy linguistic prediction model for sinoatrial node field potential analysis in acute hyperglycemia environment.

Bio-medical materials and engineering Jan 1, 2015
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sinoatrial node field potential. The field potential was recorded using microelectrode arrays (MEA). The...
Pattern Recognition, Automated Linguistics Male Sinoatrial Node Humans Computer Simulation Mice, Inbred C57BL Mice Neural Networks, Computer Models, Statistical Reproducibility of Results Hyperglycemia Algorithms Acute Disease Sensitivity and Specificity Fuzzy Logic Glucose Animals
View on PubMed DOI

Hematocrit estimation using online sequential extreme learning machine.

Bio-medical materials and engineering Jan 1, 2015
Hematocrit is a blood test that is defined as the volume percentage of red blood cells in the whole blood. It is one of the important indicators for clinical decision making and the most effective factor in glucose measurement using handheld devices....
Hematocrit Humans Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

HClass: Automatic classification tool for health pathologies using artificial intelligence techniques.

Bio-medical materials and engineering Jan 1, 2015
The classification of subjects' pathologies enables a rigorousness to be applied to the treatment of certain pathologies, as doctors on occasions play with so many variables that they can end up confusing some illnesses with others. Thanks to Machine...
Diagnosis, Computer-Assisted Decision Support Systems, Clinical Pattern Recognition, Automated Neural Networks, Computer Machine Learning Software Algorithms Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Sleep snoring detection using multi-layer neural networks.

Bio-medical materials and engineering Jan 1, 2015
Snoring detection is important for diagnosing obstructive sleep apnea syndrome (OSAS) and other respiratory sleep disorders. In general, audio signal processing such as snoring sound analysis uses the frequency characteristics of the signal. Recently...
Humans Neural Networks, Computer Machine Learning Algorithms Pattern Recognition, Automated Snoring Auscultation Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Sleep Apnea, Obstructive
View on PubMed DOI

Classification of focal liver lesions on ultrasound images by extracting hybrid textural features and using an artificial neural network.

Bio-medical materials and engineering Jan 1, 2015
This paper focuses on the improvement of the diagnostic accuracy of focal liver lesions by quantifying the key features of cysts, hemangiomas, and malignant lesions on ultrasound images. The focal liver lesions were divided into 29 cysts, 37 hemangio...
Humans Image Enhancement Sensitivity and Specificity Male Middle Aged Ultrasonography Liver Neoplasms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Female Reproducibility of Results Aged Adult Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Bio-medical materials and engineering Jan 1, 2015
Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder...
Algorithms Pattern Recognition, Automated Reproducibility of Results Humans Ventricular Premature Complexes Electrocardiography Neural Networks, Computer Sensitivity and Specificity Atrial Premature Complexes Regression Analysis Diagnosis, Computer-Assisted Bundle-Branch Block Diagnosis, Differential Data Interpretation, Statistical
View on PubMed DOI
Popular Topics
Recent Journals