[Retracted] Internet of Medical Things (IoMT)‐Based Smart Healthcare System: Trends and Progress

J Srivastava, S Routray, S Ahmad… - Computational …, 2022 - Wiley Online Library
Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which
is exponentially gaining researchers' attention with every passing day because of its wide …

[Retracted] IoT‐Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction

S Padhy, S Dash, S Routray, S Ahmad… - Computational …, 2022 - Wiley Online Library
Nowadays, there is a growing need for Internet of Things (IoT)‐based mobile healthcare
applications that help to predict diseases. In recent years, several people have been …

Performance evaluation of machine learning techniques (MLT) for heart disease prediction

GA Ansari, SS Bhat, MD Ansari… - … Methods in Medicine, 2023 - Wiley Online Library
The leading cause of death worldwide today is heart disease (HD). The heart is recognised
as the second‐most significant organ behind the brain. A successful outcome of treatment …

Ensemble Learning‐Based Hybrid Segmentation of Mammographic Images for Breast Cancer Risk Prediction Using Fuzzy C‐Means and CNN Model

S Jha, S Ahmad, A Arya, B Alouffi… - Journal of …, 2023 - Wiley Online Library
The research interest in this field is that females are not aware of their health conditions until
they develop tumour, especially when breast cancer is concerned. The breast cancer risk …

[Retracted] XAI‐Based Reinforcement Learning Approach for Text Summarization of Social IoT‐Based Content

HAM Abdeljaber, S Ahmad, A Alharbi… - Security and …, 2022 - Wiley Online Library
The purpose of automatic text summarising technology is to condense a given text while
properly portraying the main information in the original text in a summary. To present …

[PDF][PDF] Analysis of artificial intelligence and natural language processing significance as expert systems support for e-health using pre-train deep learning models

PM Mah - Acadlore Transactions on AI and Machine Learning, 2022 - researchgate.net
Artificial intelligence (AI) and natural language processing (NLP) are relentless technologies
for healthcare that can support a strong and secure digital system with embedded …

[HTML][HTML] Siamese Neural Network for User Authentication in Field-Programmable Gate Arrays (FPGAs) for Wearable Applications

HS Choi - Electronics, 2023 - mdpi.com
User authentication has traditionally been performed using methods such as passwords or
fingerprints. However, passwords have security vulnerabilities, and fingerprints may hinder …

[Retracted] Analysis of Diabetes Clinical Data Based on Recurrent Neural Networks

Y Lin, Y Li, X Huang, L Liu, H Wei… - Computational …, 2022 - Wiley Online Library
At present, diabetes is one of the most important chronic noncommunicable diseases, that
have threatened human health. By 2020, the number of diabetic patients worldwide has …

[PDF][PDF] A Robust Automated Framework for Classification of CT Covid-19 Images Using MSI-ResNet.

A Rajagopal, S Ahmad, S Jha, R Alagarsamy… - Comput. Syst. Sci …, 2023 - researchgate.net
Nowadays, the COVID-19 virus disease is spreading rampantly. There are some testing
tools and kits available for diagnosing the virus, but it is in a limited count. To diagnose the …

[PDF][PDF] AI Based Secure Analytics of Clinical Data in Cloud Environment: Towards Smart Cities and Healthcare

SA Aghila Rajagopal, S Jha, HAM Abdeljaber… - Journal of Advances in …, 2023 - jait.us
Recently, health care data comprises of a huge number of information which is regarded as
a challenging one for manual maintenance. Owing to the development of big data in the …