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Medical Data Analysis Using AutoML Frameworks
Recently, there has been a growing interest in applying machine learning (ML) and deep learning to medical big data and smart healthcare. However, it...
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Medical Tabular Data
The most typical types of data in machine learning challenges are tabular data. A set of body mass index (BMI) values for a group of people is just a...
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Data management for resource optimization in medical IoT
PurposeMedical IoT plays a substantial role in improving healthcare and patient monitoring. Enhancing the quality of healthcare system is a vibrant...
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GAN-based one dimensional medical data augmentation
With the continuous development of human life and society, the medical field is constantly improving. However, modern medicine still faces many...
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Cybersecurity, Data Protection, and Artificial Intelligence in Medical Devices
This chapter gives an overview of the current cybersecurity issues in medical devices, risks concerning the personal data use, and regulatory...
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Computer Vision for Medical Data Analysis
The images are widely used in the medical diagnostics. Most people who visited any kind of physician encountered one of the devices that are used in...
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Design of Network Medical Image Information Feature Diagnosis Method Based on Big Data
In the context of "smart healthcare", due to the substantial increase in medical data and patient diagnostic needs, conventional diagnostic methods...
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Medical Image Data Security Risk Identification Based on 6G Wireless Sensor Networks and AI-Assisted Technology
This study presents a novel technique to protect medical image data from security risks under 6G wireless technology-based communications called...
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A distribution information sharing federated learning approach for medical image data
In recent years, federated learning has been believed to play a considerable role in cross-silo scenarios (e.g., medical institutions) due to its...
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HIDDEn: Robust Data Hiding for Medical Images with Encryption and Local Binary Pattern
The secure transmission of medical images and related digital patient records on untrusted channels has recently become a focus in healthcare...
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Personalized Big Data Access: Value for Medical Staff
Healthcare systems produce big data with latent capabilities for healthcare providers. Big data is a strategic resource and requires the appropriate...
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Chaotic Map Based Encryption Algorithm for Secured Medical Data Analytics
Security is the primary issue when sending medical data. Due to their extreme sensitivity, medical images need to be encrypted. A few methods for...
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Blockchain Based E-Medical Data Storage for Privacy Protection
Electronic Medical Data (E-Medical Data) is sensitive and the privacy should be preserved. E-Medical Data is easily stolen, altered, or even deleted...
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Natural Language Processing for Medical Data Analysis
In medicine, as in every other discipline, language is one of the main forms of communication. In addition to others, difficulties are the domain...
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A Blind and High-Capacity Data Hiding Scheme for Medical Information Security
How to guarantee the confidentiality of sensitive data communicated over the Internet and restrict access to designated information is today’s key...
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Management of medical record data with multi-level security on Amazon Web Services
Blockchain technology has gained significant attention in the most recent years due to its potential to address related issues to privacy,...
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Blockchain-Based Access Control Mechanism for IoT Medical Data
With the proliferation of medical Internet of Things (IoT) devices that collects sensitive healthcare data, access control is more crucial than ever...
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RETRACTED ARTICLE: Research on privacy and secure storage protection of personalized medical data based on hybrid encryption
Personalized medical data privacy and secure storage protection face serious challenges, especially in terms of data security and storage efficiency....
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Securing cloud-based medical data: an optimal dual kernal support vector approach for enhanced EHR management
Cloud computing is one of the advanced technologies to process rapidly growing data. At the same instant, the necessity of storage space for the...
