Journal Article

A Novel IoT-Enabled Healthcare Monitoring Framework and Improved Grey Wolf Optimization Algorithm-Based Deep Convolution Neural Network Model for Early Diagnosis of Lung Cancer

Norain, Khalid Ahmed Abdallah, Sohail, Shahab Saquib, Ahmed, Abdallah Ahmed Alzupair, Alattab, Ahmed Abdu, Hussain, Shahid, Madsen, Dag Øivind, Irshad, Reyazur Rashid, Zamani, Abu Sarwar, Alsaiari, Omar Ali Saleh

2023

Overview

Lung cancer is a high-risk disease that causes mortality worldwide; nevertheless, lung nodules are the main manifestation that can help to diagnose lung cancer at an early stage, lowering the workload of radiologists and boosting the rate of diagnosis. Artificial intelligence-based neural networks are promising technologies for automatically detecting lung nodules employing patient monitoring data acquired from sensor technology through an Internet-of-Things (IoT)-based patient monitoring system. However, the standard neural networks rely on manually acquired features, which reduces the effectiveness of detection. In this paper, we provide a novel IoT-enabled healthcare monitoring platform and an improved grey-wolf optimization (IGWO)-based deep convulution neural network (DCNN) model for lung cancer detection. The Tasmanian Devil Optimization (TDO) algorithm is utilized to select the most pertinent features for diagnosing lung nodules, and the convergence rate of the standard grey wolf optimization (GWO) algorithm is modified, resulting in an improved GWO algorithm. Consequently, an IGWO-based DCNN is trained on the optimal features obtained from the IoT platform, and the findings are saved in the cloud for the doctor’s judgment. The model is built on an Android platform with DCNN-enabled Python libraries, and the findings are evaluated against cutting-edge lung cancer detection models.

• Publisher: MDPI AG,MDPI
• Subject: Accuracy / Algorithms / Analysis / Antigens / Artificial Intelligence / Asthma / Australia / Cancer / Cancer therapies / Classification / Clinical decision making / Coronaviruses / Cost control / COVID-19 / Critical care / Decision trees / deep convolutional neural network / Deep learning / Delivery of Health Care / Diagnosis / Early Detection of Cancer / Health aspects / Health care / Health care reform / healthcare monitoring / Humans / improved grey wolf optimization / Internet of Things / Lung cancer / Lung diseases / Lung Neoplasms - diagnosis / Mortality / Neural networks / Neural Networks, Computer / Optimization algorithms / Patients / Pneumonia / Respiratory system / Sensors / Support vector machines / tasmanian devil optimization / X-rays