The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things

S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …

A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis

S Muneer, U Farooq, A Athar… - Journal of …, 2024 - Wiley Online Library
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …

COVID-19 detection from CBC using machine learning techniques

A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …

Treatment response prediction in hepatitis C patients using machine learning techniques

AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

AS Kwekha-Rashid, HN Abduljabbar, B Alhayani - Applied Nanoscience, 2023 - Springer
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …

An IoMT based Ensemble Classification Framework to Predict Treatment Response in Hepatitis C Patients

TM Ghazal, S Abbas, M Ahmad… - … Conference on Business …, 2022 - ieeexplore.ieee.org
Hepatitis C is considered a deadly disease as mortality rate in the patients suffering from this
disease is very high, if not properly treated. This research proposes an IOMT based …

Fuzzy‐Based Fusion Model for β‐Thalassemia Carriers Prediction Using Machine Learning Technique

M Ibrahim, S Abbas, A Fatima… - Advances in Fuzzy …, 2024 - Wiley Online Library
The abnormality of haemoglobin in the human body is the fundamental cause of
thalassemia disease. Thalassemia is considered a common genetic blood condition that has …

[PDF][PDF] Fusion-Based Machine Learning Architecture for Heart Disease Prediction.

MW Nadeem, HG Goh, MA Khan… - … , Materials & Continua, 2021 - researchgate.net
The contemporary evolution in healthcare technologies plays a considerable and significant
role to improve medical services and save human lives. Heart disease or cardiovascular …

A deep learning approach to intelligent fruit identification and family classification

NM Ibrahim, DGI Gabr, A Rahman, S Dash… - Multimedia Tools and …, 2022 - Springer
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …

Electrocardiogram monitoring wearable devices and artificial-intelligence-enabled diagnostic capabilities: a review

L Neri, MT Oberdier, KCJ van Abeelen, L Menghini… - Sensors, 2023 - mdpi.com
Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-
risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions …