Innovative Systems for Intelligent Health Informatics [E-Book] : Data Science, Health Informatics, Intelligent Systems, Smart Computing / edited by Faisal Saeed, Fathey Mohammed, Abdulaziz Al-Nahari.
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. The main theme of the book is "Innovative Systems for Intelligent Health Informat...
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Full text |
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| Personal Name(s): | Al-Nahari, Abdulaziz, editor |
| Mohammed, Fathey, editor / Saeed, Faisal, editor | |
| Edition: |
1st edition 2021. |
| Imprint: |
Cham :
Springer,
2021
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| Physical Description: |
XXIII, 1262 pages 481 illustrations, 357 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783030707132 |
| DOI: |
10.1007/978-3-030-70713-2 |
| Series Title: |
Lecture Notes on Data Engineering and Communications Technologies ;
72 |
| Subject (LOC): |
- 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.