Patients afflicted by multiple sclerosis experience a relapsing-remitting course in about 85% of the cases. Furthermore, after a 10/15-year period their situation tends to worse, resulting in what is considered the se...
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Patients afflicted by multiple sclerosis experience a relapsing-remitting course in about 85% of the cases. Furthermore, after a 10/15-year period their situation tends to worse, resulting in what is considered the second phase of multiple sclerosis. While treatments are now available to reduce the symptoms and slow down the progression of the disease, the administration of drugs must be adapted to the course of the disease, and predicting relapsing periods and the worsening of the symptoms can greatly improve the outcome of the treatment. For this reason, indicators such as the patient-reported outcome measures (PROMs) have been largely used to support early diagnosis and prediction of future relapsing periods in patients affected by multiple sclerosis. However, such indicators are insufficient, as the prediction they provide is often not accurate enough. In this paper, machinelearning techniques have been applied to data obtained from clinical trial, in order to improve the prediction capabilities and provide doctors with an additional instrument to evaluate the clinical situation of patients. After the application of correlation indicators and the use of principal component analysis for the reduction of the dimensionality of the feature space, classification algorithms have been applied and compared, in order to identify the best suiting one for our purposes. After the application of re-balance algorithms, the accuracy of the machinelearning-based prediction system reaches 79%, demonstrating the capability of the framework to correctly predict future progression of disability.
The proceedings contain 18 papers. The special focus in this conference is on Big Data Innovation for Sustainable Cognitive computing. The topics include: A Comparative Analysis of Assignment Problem;a Survey on Memor...
ISBN:
(纸本)9783031283239
The proceedings contain 18 papers. The special focus in this conference is on Big Data Innovation for Sustainable Cognitive computing. The topics include: A Comparative Analysis of Assignment Problem;a Survey on Memory Assistive Technology for Elderly;An Experimental Investigation on the Emotion Recognition Using Power Spectrum Density and machinelearningalgorithms in EEG Signals;Detection and Classification of Pneumonia and COVID-19 from Chest X-Ray Using Convolutional Neural Network;stopwords Aware Emotion-Based Sentiment Analysis of News Articles;An Empirical Study to Assess the Factors Influencing Banking Customers Toward FINTECH Adoption in Tamil Nadu;driver’s Drowsiness Detection Using SpO2;a Blockchain Framework for Investment Authorities to Manage Assets and Funds;analysis of Metaheuristic algorithms for Optimized Extreme learningmachines in Various Sectors;metal and Metal Oxide Nanoparticle Image Analysis Using machinelearning Algorithm;efficient Implementation to Reduce the Data Size in Big Data Using Classification Algorithm of machinelearning;tracer for Estimation of the Data Changes Delivered and Permalinks;Design and Development of a Smart Home Management System Based on MQTT Incorporated in Mesh Network;novel machine-learning-Based Decision Support System for Fraud Prevention;big Data Challenges in Retail Sector: Perspective from Data Envelopment Analysis;restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts Using Image Enhancement Techniques.
The proceedings contain 88 papers. The special focus in this conference is on Soft computing and Pattern Recognition. The topics include: A Survey on Ensemble Multi-label Classifiers;semantic Type Detection in Tabular...
ISBN:
(纸本)9783031275234
The proceedings contain 88 papers. The special focus in this conference is on Soft computing and Pattern Recognition. The topics include: A Survey on Ensemble Multi-label Classifiers;semantic Type Detection in Tabular Data via machinelearning Using Semi-synthetic Data;Handwritten Character Recognition Using Deep LSTM Approach;two Phase Ensemble learning Based Extractive Summarization for Short Documents;spider Monkey Based K-Means Dynamic Collaborative Filtering for Movie Recommendation Systems;Fuzzy Bi-GRU Based Hybrid Extractive and Abstractive Text Summarization for Long Multi-documents;a Genomic Signal Processing-Based Coronavirus Classification Model Using Deep learning with Web-Based Console;study on Drowsiness Detection System Using Deep learning;convolutional Neural Networks for Crack Detection on Flexible Road Pavements;sexism Classification in Social Media Using machinelearningalgorithms;improving the Performance of Classification via Clustering on the Students’ Academic Performance using Stacking Algorithm;deep learning and machinelearning-Based Lung Nodule Detection Systems – An Analysis;breast Cancer Classification Techniques – An Investigation;A Study on Student Performance Prediction and Intervention Mechanisms in MOOC;Bi-stage QWOA-Based Efficient Feature Selection for Enhanced Depression Detection Based on Facial Cues;some Cases of Prediction and Inference with Uncertainty;interpretable Approaches to Predict Evapotranspiration;deep Convolutional Neural Network Model for Classifying Alzheimer’s Disease;comparative Hybrid Deep Convolutional learning Framework with Transfer learning for Diagnosis of Lung Cancer;Review of Supply Chain Management Operational Resilience, Risk, and Disruption in COVID-19 Pandemic;adaptable Fog computing Framework for Healthcare 4.0;ear Images Classification Based on Data Augmentation and ResNeXt50;machinelearning Approaches for Crop Identification from Remote Sensing Imagery: A Review;emotion Recognition of Speech.
Sentiment analysis has been increasingly popular in the present digital era which attempts to analyse the consumer reviews acquired from websites, blogs and social media platforms. The rich textual information contain...
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The proceedings contain 27 papers. The special focus in this conference is on Deep Sciences for computing and Communications. The topics include: Predictive Model for Depression and Anxiety Using machinelearning Algo...
ISBN:
(纸本)9783031276217
The proceedings contain 27 papers. The special focus in this conference is on Deep Sciences for computing and Communications. The topics include: Predictive Model for Depression and Anxiety Using machinelearningalgorithms;a Deep learning Based Species Reciprocal System for Partridge;Detecting Pneumonia from the CT-Scan Images Using Convolutional Neural Networks and Transfer learning Techniques;emotion Recognition of People Based on Facial Expressions in Real-Time Event;A Novel Modified LSTM Deep learning Model on Precipitation Analysis for South Indian States;industrial machinelearning Cloud Applications: Integrity and Confidentiality of machine Sensitive Data;classification of Dermoscopy Textures with an Ensemble Feedback of Multilayer Perceptron;monitoring and Detection of Plant Diseases Using Neural Networks;a Review on Detection and Diagnosis of Melanoma Carcinoma Using Deep learning;health Care Support for Elderly People in Resource Poor Areas;future of E-commerce by Implementing Blockchain Payments System;cluster-Centric Based Hybrid Approach for Cricket Sports Analytics Using machinelearning;PPA Based MAC Unit Using Vedic Multiplier and XOR Logic;nowcasting - Rain Intensity Prediction Using machinelearning Models with Markov Chain Process;A Survey of WSN Efficient Network Restoration Model Using Genetic algorithms;An Evaluation on the Performance of Privacy Preserving Split Neural Networks Using EMNIST Dataset;The Security Algorithm BR22-01 Used to Secure the COVID’19 Health Data;modelling Air Pollution and Traffic Congestion Problem Through Mobile Application;finding Best Voting Classifier for Diabetic Disease Classification;convolutional Neural Networks for Traffic Sign Classification Using Enhanced Colours;hand Gesture Recognition for Human-Computer Interaction Using Computer Vision.
The proceedings contain 58 papers. The special focus in this conference is on Advanced computing and Intelligent Engineering. The topics include: Designing a System Using Features Selection Based on Filter M...
ISBN:
(纸本)9789819950140
The proceedings contain 58 papers. The special focus in this conference is on Advanced computing and Intelligent Engineering. The topics include: Designing a System Using Features Selection Based on Filter Methods and XGBoost Classifier for Detecting Intrusion in Cloud;integration of Classical and Quantum Network Simulator: ns3 with NetSquid;distributed Cloud Storage Using Blockchain and Cryptographic algorithms;hybrid machinelearning Framework for Network Intrusion Detection in IoT-Based Environments;a Solar Power-Enabled and LoRa-Based Smart Irrigation and Monitoring System;towards an Intelligent Nature-Inspired Optimization Framework for Managing Healthcare Big Data;stereo Image Transformation Employing Novel View Synthesis;pneumocystis jirovecii Fungi Detection Using Microscopy Image: A Deep learning Approach;medChain: Blockchain-Based Healthcare Management System;Biometric-Based Key Handling Using Variation to Scale Invariant Feature Transform amid COVID-19 Pandemic;ticket Classification Using machinelearning;Pneumonia Identification and Classification Using CNN Model Based on Chest X-Ray Image in Healthcare;detection of Diabetic Retinopathy Severity by Image Classification Using a Hybrid Model and Attention Mechanism;empirical Validation of Deep learning Based on Image Captioning Models;A Hybrid Approach of Image Segmentation for Medical MR Images Using SMKFCM and Genetic Algorithm;human-machine Interactions and Agility in Software Development;fusedNet: A Fusion of Time Series and Imaging Based Human Activity Recognition Using ResNet;enhancing Negotiation Flexibility of Smart Contract in Hyperledger Framework;effective Encrypted Traffic Analysis;improvising Encrypted Traffic Analysis Using Stacking Ensemble Model;framework for Health Care Services Delivery Under the Devolved System of Government in Kenya: An Empirical Review of Literature;Influence of COVID-19 on Talent Management: Perceptions of HR Specialists in Mauritius;integrating Educational Robots as
The proceedings contain 24 papers. The special focus in this conference is on Big Data and Cloud computing Challenges. The topics include: Early Planning of Virtual machines to Servers in Cloud Server Farms is an Appr...
ISBN:
(纸本)9789819910502
The proceedings contain 24 papers. The special focus in this conference is on Big Data and Cloud computing Challenges. The topics include: Early Planning of Virtual machines to Servers in Cloud Server Farms is an Approach for Energy-Efficient Resource Allocation;performance Analysis of Distributed algorithms for Big Data Classification;achieving Sustainability by Rectifying Challenges in IoT-Based Smart Cities;framework for Implementation of Smart Driver Assistance System Using Augmented Reality;ioT-Based Mental Health Monitoring System Using machinelearning Stress Prediction Algorithm in Real-Time Application;fish Feeder System Using Internet of Things;an Efficient and Recoverable Symmetric Data Aggregation Approach for Ensuring the Content Privacy of Internet of Things;Implementation and Comparative Analysis of Various Energy-Efficient Clustering Schemes in AODV;secure Web Gateway on Website in Cloud;adaptive End-To-End Network Slicing on 5G Networks;zero Trust Framework in Integrated Cloud Edge IoT Environment;o2Q: Deteriorating Inventory Model with Stock-Dependent Demand Under Trade Credit Policy;embedding (K9-C9)n into Certain Necklace Graphs;Lyrics Generation Using LSTM and RNN;design a Quantum Cryptography Algorithm and Evaluate the Risks of Quantum-Based Nano computing;human Odor Security Using E-nose;automated Road Surveillance System Using machinelearning;an Artificial Intelligence-Based Technique to Optimize Hybrid Vehicle Using Renewable Energy Sources;stock Market Prediction Using machinelearning Techniques: A Comparative Study;comparative Study on Different Intrusion Detection Datasets Using machinelearning and Deep learningalgorithms;mitigating Postnatal Depression: A Big Data Self-help Therapy.
Contemporarily, asia is the world's largest carbon emitter among other continents according to the recorded data, which plays an essential role in climate change. This paper introduces asia's carbon dioxide em...
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Diabetes is a chronic metabolic disease that has a long-term impact on the individual's well-being and one of the causes of adulthood death. This research paper represents an attempt to find the correlation betwee...
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The proceedings contain 18 papers. The special focus in this conference is on Intelligent computing and Networking. The topics include: Stock Market Trend Prediction Along with Twitter Sentiment Analysis;A Study on MQ...
ISBN:
(纸本)9789819900701
The proceedings contain 18 papers. The special focus in this conference is on Intelligent computing and Networking. The topics include: Stock Market Trend Prediction Along with Twitter Sentiment Analysis;A Study on MQTT Protocol Architecture and Security Aspects Within IoT Paradigm;compartive Analysis of Different Block Chain Technology to Improve the Security in Social Network;euphonia: Music Recommendation System Based on Facial Recognition and Emotion Detection;Improvement of Makespan and TCTime in Dynamic Job Ordering and Slot Utilization for MapReduce Workloads;preface;Implementation of a PID Controller for Autonomous Vehicles with Traffic Light Detection in CARLA;identification and Detection of Plant Disease Using Transfer learning;blockchain Based E-Voting System;an Intelligent Voice Assistant Engineered to Assist the Visually Impaired;analysis of Python Libraries for Artificial Intelligence;annual Rainfall Prediction of Maharashtra State Using Multiple Regression;Automated Healthcare System Using AI Based Chatbot;winner Prediction of Football Match Using machinelearning;raktaSeva—An App for Civilians and Blood Banks;prediction of Anemia Disease Using machinelearningalgorithms.
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