[HTML][HTML] A review on the use of machine learning techniques in monkeypox disease prediction

S Rampogu - Science in One Health, 2023 - Elsevier
Infectious diseases have been posing to be a global threat in the recent times and are
progressing from endemics to pandemics. The early detection and finding a better cure is …

A proposed approach for monkeypox classification

HH Luong, NH Khang, NQ Le… - … Journal of Advanced …, 2023 - search.proquest.com
Public health concerns have been heightened by the emergence and spread of monkeypox,
a viral disease that affects both humans and animals. The significance of early detection and …

Detection of Monkeypox cases based on symptoms using XGBoost and Shapley additive explanations methods

A Farzipour, R Elmi, H Nasiri - Diagnostics, 2023 - mdpi.com
The monkeypox virus poses a novel public health risk that might quickly escalate into a
worldwide epidemic. Machine learning (ML) has recently shown much promise in …

Application of artificial intelligence techniques for monkeypox: a systematic review

K Chadaga, S Prabhu, N Sampathila, S Nireshwalya… - Diagnostics, 2023 - mdpi.com
Monkeypox or Mpox is an infectious virus predominantly found in Africa. It has spread to
many countries since its latest outbreak. Symptoms such as headaches, chills, and fever are …

A comparative analysis of cnn-based pretrained models for the detection and prediction of monkeypox

S Saha, T Chakraborty, RB Sulaiman, T Paul - arXiv preprint arXiv …, 2023 - arxiv.org
Monkeypox is a rare disease that raised concern among medical specialists following the
convi-19 pandemic. It's concerning since monkeypox is difficult to diagnose early on …

DL-MDF-OH2: Optimized Deep Learning-Based Monkeypox Diagnostic Framework Using the Metaheuristic Harris Hawks Optimizer Algorithm

SA Almutairi - Electronics, 2022 - mdpi.com
At the time the world is attempting to get over the damage caused by the COVID-19 spread,
the monkeypox virus threatens to evolve into a global pandemic. Human monkeypox was …

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 …

Meta-heuristic optimization of LSTM-based deep network for boosting the prediction of monkeypox cases

MM Eid, ESM El-Kenawy, N Khodadadi, S Mirjalili… - Mathematics, 2022 - mdpi.com
Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …

An enhanced diagnosis of monkeypox disease using deep learning and a novel attention model senet on diversified dataset

S Surati, H Trivedi, B Shrimali, C Bhatt… - Multimodal …, 2023 - mdpi.com
With the widespread of Monkeypox and increase in the weekly reported number of cases, it
is observed that this outbreak continues to put the human beings in risk. The early detection …

PoxNet22: A fine-tuned model for the classification of monkeypox disease using transfer learning

F Yasmin, MM Hassan, M Hasan, S Zaman… - Ieee …, 2023 - ieeexplore.ieee.org
Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …