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Prediction of Mortality from Heart Failure using Machine Learning
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EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease
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Big Five Personality Traits Prediction Using Brain Signals
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Advancements in Healthcare Services using Deep Learning Techniques
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Deep Learning Techniques for Prediction and Diagnosis of Diabetes Mellitus
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Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features
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Smart ECG Monitoring and Analysis System Using Machine Learning
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Radiomics in Cardiovascular Disease Imaging: from Pixels to the Heart of the Problem
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Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
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Identifying Quality Attributes of FODA and DSSA Methods in Domain Analysis using a Case Study
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Towards development of IoT-ML driven healthcare systems: A survey
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A systematic review of IoT in healthcare: Applications, techniques, and trends
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Deep learning empowered COVID-19 diagnosis using chest CT scan images for collaborative edge-cloud computing platform
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Coronavirus disease (COVID-19) cases analysis using machine-learning applications
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Feature selection model for healthcare analysis and classification using classifier ensemble technique
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A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal
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Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
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Classifying and resolving software product line redundancies using an ontological first-order logic rule based method
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BinDaaS: Blockchain-Based Deep-Learning as-a-Service in Healthcare 4.0 Applications
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Retinex model based stain normalization technique for whole slide image analysis
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An Automatic Identification Method for the Blink Artifacts in the Magnetoencephalography with Machine Learning
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Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods
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A hybrid deep neural network for classification of schizophrenia using EEG Data
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Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis.
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Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study
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Machine learning-based prediction of COVID-19 diagnosis based on symptoms
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Detection technologies and recent developments in the diagnosis of COVID-19 infection
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MEG Source Localization via Deep Learning
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The state of the art of deep learning models in medical science and their challenges
30
Machine Learning Models for Government to Predict COVID-19 Outbreak
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A classification and systematic review of product line feature model defects
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A Review of Segmentation Algorithms Applied to B-Mode Breast Ultrasound Images: A Characterization Approach
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Machine Learning Applied to Diagnosis of Human Diseases: A Systematic Review
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Deep feature extraction and classification of breast ultrasound images
35
Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning.
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Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
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Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
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Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform
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Medical image processing using python and open cv
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Preparing Medical Imaging Data for Machine Learning.
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Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
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Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
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Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
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Analysis of computational techniques for diabetes diagnosis using the combination of iris-based features and physiological parameters
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Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
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LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm
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Edge computing for Internet of Things: A survey, e-healthcare case study and future direction
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Data augmentation in dermatology image recognition using machine learning
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Applications of machine learning in drug discovery and development
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Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients
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Deep learning for cardiovascular medicine: a practical primer.
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Machine learning for MEG during speech tasks
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Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types
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An overview of deep learning in medical imaging focusing on MRI
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Automated Recognition of Epileptic EEG States Using a Combination of Symlet Wavelet Processing, Gradient Boosting Machine, and Grid Search Optimizer
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Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
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A robust methodology for classification of epileptic seizures in EEG signals
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Detection of Epileptic Seizure Using Wavelet Transform and Neural Network Classifier
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A Review of Challenges and Opportunities in Machine Learning for Health.
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Improving quality of software product line by analysing inconsistencies in feature models using an ontological rule‐based approach
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Policy-Based Access Control for Constrained Healthcare Resources
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Adaptive neural network classifier for decoding MEG signals
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Big Data and Machine Learning in Health Care.
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Machine learning techniques for medical diagnosis of diabetes using iris images
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The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges
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Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning
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Machine Learning in Medical Imaging.
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Comparative analysis of classification based algorithms for diabetes diagnosis using iris images
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Epileptic seizure detection in EEG signal using machine learning techniques
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Managing software product line using an ontological rule-based framework
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A NOVEL APPROACH TO DETECT EPILEPTIC SEIZURES USING A COMBINATION OF TUNABLE-Q WAVELET TRANSFORM AND FRACTAL DIMENSION
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Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
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Deep Learning for Medical Image Analysis
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Unintended Consequences of Machine Learning in Medicine
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DIAGNOSIS OF THE PARKINSON DISEASE BY USING DEEP NEURAL NETWORK CLASSIFIER
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Analyzing inconsistencies in software product lines using an ontological rule-based approach
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Deep Learning in Medical Imaging: General Overview
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Method to Resolve Software Product Line Errors
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A Review of Denoising Medical Images Using Machine Learning
Approaches
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Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals
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Detection of epileptic seizure using Kraskov entropy applied on tunable-Q wavelet transform of EEG signals
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Survey of Machine Learning Algorithms for Disease Diagnostic
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Improving software product line using an ontological approach
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Machine learning approaches in medical image analysis: From detection to diagnosis
85
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
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Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods.
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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
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Mammogram image visual enhancement, mass segmentation and classification
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Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols
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Special issue on medical image computing and systems
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Deep learning of feature representation with multiple instance learning for medical image analysis
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Medical Image Fusion: A survey of the state of the art
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Deep learning for neuroimaging: a validation study
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Coronary CT angiography.
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Performing systematic literature reviews in software engineering
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Probabilistic segmentation of brain tissue in MR imaging
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A hybrid technique for EEG signals evaluation and classification as a step towards to neurological and cerebral disorders diagnosis
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Detecting mild traumatic brain injury from MEG data using normative modelling and machine learning
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Affect Recognition using Brain Signals: A Survey
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Image classification using SVMandCNN
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Medical Imaging using Machine Learning and Deep Learning Algorithms: A Review
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Predicting Severity Of Parkinson’s Disease Using Deep Learning
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Optimization of segment size assuring application perceived QoS in healthcare
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An Introduction to ECG Interpretation
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Diffusion MRI: Theory, methods, and applications
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Systematic literature reviews in software engineering - A systematic literature review
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An Introduction to Variable and Feature Selection
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Convolutional Layer: It is responsible to apply the filters systematically to create feature maps for summarizing features present in the input image
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Feature scaling and feature selection : ML algorithms work on numbers without knowing what the number represents
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Label dataset : Dataset is labeled in the form of 0 and 1, where 0 and 1 indicate the data having no tumor and data having meningioma tumor, respectively
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Split dataset : Further, the dataset is splitted in the ratio of 80:20 for training (80%) and testing (20%)
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Apply ML classifiers : For this experiment, ML classifiers (SVM, RF, DT, LR) and DL models (CNN, ResNet50V2) are used, which
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Prediction and testing the model : The model was tested with testing data (20% of the dataset) and predicted the disease accurately for the given dataset
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Available at: Noisy Data in Data Mining | Soft Computing and Intelligent Information Systems
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full training or fine tuning? IEEE Trans Med Imaging 35(5): 1299–1312