Rise of Telemedicine in Healthcare Systems Using Machine Learning: A Key Discussion

S Sachdeva, A Ali - … of Healthcare Things: Machine Learning for …, 2022 - Wiley Online Library
Telemedicine is the use of technology to clarify various elements of medical care from a
distance. Telemedicine is defined as the use of telecommunications and information …

Progressive advancements in security challenges, issues, and solutions in e-health systems

R Gothwal, S Tiwari, S Shivani, M Khurana - Intelligent data security …, 2020 - Elsevier
With advancements in the field of information and communication technology (ICT), research
into e-health has attracted many researchers globally. Today's e-health services have been …

Artificial Intelligence of Medical Things for Medical Information Systems Privacy and Security

M Abdulraheem, EA Adeniyi, JB Awotunde… - Handbook of Security …, 2024 - taylorfrancis.com
Artificial intelligence (AI) is a modern approach based on computer research that aims to
create algorithms and programs that make machines clever and effective at carrying out jobs …

Data security and privacy concern in the healthcare system

A Sourav - Internet of Healthcare Things: Machine Learning for …, 2022 - Wiley Online Library
Change is the new convention and standard for the world's health sector. Change in the
collection, storage, and transfer of healthcare data through digitization is experiencing a …

Security and privacy issue in telemedicine: issues, solutions, and standards

HK Sharma, T Choudhury, A Katal, JS Um - Telemedicine: The Computer …, 2022 - Springer
Telemedicine and E-hospital are growing in the global market and proved its requirement in
mostly in pandemic; however, the technology has much importance in rural areas, where …

An Overview of Internet of Things and Machine Learning for Smart Healthcare

SN Hashmi, N Bharti, VM Manikandan - Deep Learning for Cognitive …, 2022 - degruyter.com
Due to COVID-19, the attempt to access medical facilities has increased. But, physical
meetings are the biggest reason for the global pandemic. The healthcare industry is in a dire …

Telemedicine and telehealth: The current update

D Suresh, S Chaudhari, A Saxena… - … Intelligence in Healthcare, 2021 - Springer
Telemedicine is considered as a tool that is accessible and cost-effective and increases
patient engagement. Since its birth in the early 1900s, it has only evolved and grown to be a …

[PDF][PDF] An analysis of integrating machine learning in healthcare for ensuring confidentiality of the electronic records

AH Seh, JF Al-Amri, AF Subahi, A Agrawal… - Computer Modeling in …, 2022 - academia.edu
The adoption of sustainable electronic healthcare infrastructure has revolutionized
healthcare services and ensured that E-health technology caters efficiently and promptly to …

Reliance on artificial intelligence, machine learning and deep learning in the era of industry 4.0

TVN Rao, A Gaddam, M Kurni… - Smart healthcare system …, 2022 - Wiley Online Library
As the days pass, the amount of work to do increases day by day, so there is a considerable
need to automate the work. This necessity has led to the invention of a new technology …

Deep Learning Approaches for IoMT

FF Sahapudeen, T Vigneswari… - Data Modelling and …, 2023 - taylorfrancis.com
Global population growth might have an impact on how much each country spends on
healthcare. Rapid technological advancement makes it possible that patients can be …