Innovative Systems for Intelligent Health Informatics

Name: Innovative Systems for Intelligent Health Informatics
Price: 2827 SEK
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Data Science, Health Informatics, Intelligent Systems, Smart Computing

AvFaisal Saeed,Fathey Mohammed

2021

Del i serien Lecture Notes on Data Engineering and Communications Technologies

2 827 kr

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Beskrivning

This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020.

Produktinformation

Utgivningsdatum:2021-05-06
Höjd:155 x 235 x undefined mm
Språk:Engelska
Serie:Lecture Notes on Data Engineering and Communications Technologies
Antal sidor:1 262
Förlag:Springer Nature Switzerland AG
EAN:9783030707125

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Comparative Study of SMOTE and Bootstrapping Performance based on Predication Methods.- UPLX: Blockchain Platform for Integrated Health Data Management.- Convolutional Neural Networks for Automatic Detection of Colon Ad-enocarcinoma Based on Histopathological Images.- Intelligent Health Informatics with Personalisation in Weather-based Healthcare using Machine Learning.- A CNN-based Model for Early Melanoma Detection.- SMARTS D4D Application Module for Dietary Adherence Self-Monitoring among Hemodialysis Patients.- Improved Multi-Label Medical Text Classification using Features Cooperation.- Image Modeling through Augmented Reality for Skin Allergies Recognition.- Hybridisation of Optimised Support Vector Machine and Artificial Neural Network for Diabetic Retinopathy Classification.- A Habit-Change Support Web-Based System with Big Data Analytical Features for Hospitals (Doctive).- An Architecture for Intelligent Diagnosing Diabetic Types and Com-plications Based on Symptoms.- An Advanced Encryption Cryptographically-based Securing Applica-tive Protocols MQTT and CoAP to Optimize Medical-IOT Supervis-ing Platforms.- Pulmonary Nodule Classification Based on Three Convolutional Neural Networks Models.