Titlebook: Innovative Systems for Intelligent Health Informatics; Data Science, Health Faisal Saeed,Fathey Mohammed,Abdulaziz Al-Nahari Conference pro

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Improved Multi-label Medical Text Classification Using Features Cooperationctured. Reading and understanding the information contained in millions of medical documents is a time-consuming process. Automatic text classification aims to automatically classify text documents into one or more predefined categories according to several criteria such as the type of output (multi

senile-dementia

Image Modeling Through Augmented Reality for Skin Allergies Recognitionbusiness. However, not all products suitable for all skin types. As a normal human, we sometimes not know the type of rashes or allergies that we faced. Meeting dermatologist would not be the first choice for many patients – given that the fees are expensive especially. Skin rashes can occur to anyb

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An Architecture for Intelligent Diagnosing Diabetic Types and Complications Based on Symptomsases. Diabetic is recognized as the fastest-growing disease in the world. Due to insufficient diagnostic mechanisms, the number of undiagnosed diabetes has been increasing day by day. And it leads to creating long term complications such as neuropathy, nephropathy, foot gangrene and so on. The objec

Esalate

An Advanced Encryption Cryptographically-Based Securing Applicative Protocols MQTT and CoAP to Optimf an RFID Node IOT and facial recognition with Cam Node IOT and if these tests are valid, the persons can then access the public area. With the security layer of the CoAP (Constrained Application Protocol) and MQTT (Message Queuing Telemetry Transport) communication protocols to compare these 2 prot

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Diagnosis of COVID-19 Disease Using Convolutional Neural Network Models Based Transfer Learningd to discover, particularly the distinction between COVID-19 and NON-COVID-19 disease. COVID-19 causes infections on one or both lungs which appear as inflammations across lung cells. This can lead to dangerous complications that might cause death in the case of gaining or having an immune disease.