Machine-learning-based disease diagnosis: A comprehensive review

MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

Machine learning-based heart disease diagnosis: A systematic literature review

MM Ahsan, Z Siddique - Artificial Intelligence in Medicine, 2022 - Elsevier
Heart disease is one of the significant challenges in today's world and one of the leading
causes of many deaths worldwide. Recent advancement of machine learning (ML) …

Effect of data scaling methods on machine learning algorithms and model performance

MM Ahsan, MAP Mahmud, PK Saha, KD Gupta… - Technologies, 2021 - mdpi.com
Heart disease, one of the main reasons behind the high mortality rate around the world,
requires a sophisticated and expensive diagnosis process. In the recent past, much …

Classification of monkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm

AA Abdelhamid, ESM El-Kenawy, N Khodadadi… - Mathematics, 2022 - mdpi.com
The world is still trying to recover from the devastation caused by the wide spread of COVID-
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …

Deep transfer learning approaches for Monkeypox disease diagnosis

MM Ahsan, MR Uddin, MS Ali, MK Islam… - Expert Systems with …, 2023 - Elsevier
Monkeypox has become a significant global challenge as the number of cases increases
daily. Those infected with the disease often display various skin symptoms and can spread …

Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16

MM Ahsan, MR Uddin, M Farjana, AN Sakib… - arXiv preprint arXiv …, 2022 - arxiv.org
While the world is still attempting to recover from the damage caused by the broad spread of
COVID-19, the Monkeypox virus poses a new threat of becoming a global pandemic …

[HTML][HTML] Industry 4.0 in Healthcare: A systematic review

MM Ahsan, Z Siddique - … Journal of Information Management Data Insights, 2022 - Elsevier
Healthcare 4.0 has changed dramatically over the last century. It is evolving daily, with
physicians and researchers alike developing new tools and strategies. This study analyzes …

A study on different deep learning algorithms used in deep neural nets: MLP SOM and DBN

J Naskath, G Sivakamasundari, AAS Begum - Wireless personal …, 2023 - Springer
Deep learning is a wildly popular topic in machine learning and is structured as a series of
nonlinear layers that learns various levels of data representations. Deep learning employs …

A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions

STH Kieu, A Bade, MHA Hijazi, H Kolivand - Journal of imaging, 2020 - mdpi.com
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …

A comparative analysis on suicidal ideation detection using NLP, machine, and deep learning

R Haque, N Islam, M Islam, MM Ahsan - Technologies, 2022 - mdpi.com
Social networks are essential resources to obtain information about people's opinions and
feelings towards various issues as they share their views with their friends and family …