AIMC Journal:
Journal of medical systems

Showing 211 to 220 of 352 articles

An IoT Based Predictive Modelling for Predicting Lung Cancer Using Fuzzy Cluster Based Segmentation and Classification.

Journal of medical systems Dec 18, 2018
In this paper, we propose a new Internet of Things (IoT) based predictive modelling by using fuzzy cluster based augmentation and classification for predicting the lung cancer disease through continuous monitoring and also to improve the healthcare b...
Lung Neoplasms Fuzzy Logic Image Interpretation, Computer-Assisted Humans Algorithms Image Processing, Computer-Assisted
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Prediction of Hemodialysis Timing Based on LVW Feature Selection and Ensemble Learning.

Journal of medical systems Dec 13, 2018
We propose an improved model based on LVW embedded model feature extractor and ensemble learning for improving prediction accuracy of hemodialysis timing in this paper. Due to this drawback caused by feature extraction models, we adopt an enhanced LV...
Renal Dialysis Time Factors Decision Support Systems, Clinical Humans Machine Learning Algorithms
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Artificial Intelligence Based Skin Classification Using GMM.

Journal of medical systems Nov 20, 2018
This study describes the usage of neural community based on the texture evaluation of pores and skin a variety of similarities in their signs, inclusive of Measles (rubella), German measles (rubella), and Chickenpox etc. In fashionable, these illness...
Skin Diseases Pattern Recognition, Automated Wavelet Analysis Dermoscopy Humans Image Processing, Computer-Assisted Neural Networks, Computer Skin Artificial Intelligence
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Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm.

Journal of medical systems Nov 19, 2018
Renal segmentation is one of the most fundamental and challenging task in computer aided diagnosis systems. In order to overcome the shortcomings of automatic kidney segmentation based on deep network for abdominal CT images, a two-stage semantic seg...
Machine Learning Humans Tomography, X-Ray Computed Neural Networks, Computer Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Kidney Pattern Recognition, Automated
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Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.

Journal of medical systems Nov 15, 2018
Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic index varies in the human of improper diet and eating pattern such as junk foods, variation in the quantity of food, swallowing of food without chewing an...
Humans Algorithms Deep Learning Blood Glucose Diabetes Mellitus Saliva Mastication Glycemic Index Deglutition Micro-Electrical-Mechanical Systems
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Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.

Journal of medical systems Nov 5, 2018
Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sensors help in monitoring the electrical activity of the heart. ECG signal analysis can improve human life in many ways, from diagnosing diseases among ...
Electrocardiography Internet Myocardial Infarction Atrial Fibrillation Pattern Recognition, Automated Male Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Female
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Mixture Model Segmentation System for Parasagittal Meningioma brain Tumor Classification based on Hybrid Feature Vector.

Journal of medical systems Nov 3, 2018
Meningioma is the one of the most common type of brain tumor, it as arises from the meninges and encloses the spine and the brain inside the skull. It accounts for 30% of all types of brain tumor. Meningioma's can occur in many parts of the brain and...
Magnetic Resonance Imaging Fuzzy Logic Meningioma Brain Neoplasms Image Processing, Computer-Assisted Support Vector Machine Humans
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A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Journal of medical systems Nov 3, 2018
Skeletal bone age assessment is a widely used standard procedure in both disease detection and growth prediction for children in endocrinology. Conventional manual assessment methods mainly rely on personal experience in observing X-ray images of lef...
Female Infant, Newborn Male Humans Neural Networks, Computer Algorithms Age Factors Wrist Hand Sex Factors Racial Groups Age Determination by Skeleton Child Image Processing, Computer-Assisted Infant Support Vector Machine Adolescent Child, Preschool
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Diabetic Retinopathy Diagnosis from Retinal Images Using Modified Hopfield Neural Network.

Journal of medical systems Oct 31, 2018
Disease diagnosis from medical images has become increasingly important in medical science. Abnormality identification in retinal images has become a challenging task in medical science. Effective machine learning and soft computing methods should be...
Sensitivity and Specificity Algorithms Image Processing, Computer-Assisted Male Humans Female Middle Aged Diabetic Retinopathy Aged Neural Networks, Computer
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Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors.

Journal of medical systems Oct 27, 2018
Machine learning and data mining approaches are being successfully applied to different fields of life sciences for the past 20 years. Medicine is one of the most suitable application domains for these techniques since they help model diagnostic info...
Diagnostic Imaging Humans Electroencephalography Algorithms Alzheimer Disease Early Diagnosis Machine Learning Risk Factors Cognition Disorders Parkinson Disease Hematologic Tests
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