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 …

Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Heat-assisted detection and ranging

F Bao, X Wang, SH Sureshbabu, G Sreekumar, L Yang… - Nature, 2023 - nature.com
Abstract Machine perception uses advanced sensors to collect information about the
surrounding scene for situational awareness,,,,,–. State-of-the-art machine perception using …

The current state of optical sensors in medical wearables

E Vavrinsky, NE Esfahani, M Hausner, A Kuzma… - Biosensors, 2022 - mdpi.com
Optical sensors play an increasingly important role in the development of medical diagnostic
devices. They can be very widely used to measure the physiology of the human body …

Skin cancer detection using infrared thermography: Measurement setup, procedure and equipment

J Verstockt, S Verspeek, F Thiessen, WA Tjalma… - Sensors, 2022 - mdpi.com
Infrared thermography technology has improved dramatically in recent years and is gaining
renewed interest in the medical community for applications in skin tissue identification …

[HTML][HTML] The risk assessment of arsenic contamination in the urbanized coastal aquifer of Rayong groundwater basin, Thailand using the machine learning approach

N Sumdang, S Chotpantarat, KH Cho… - … and Environmental Safety, 2023 - Elsevier
The rapid expansion of urbanization has resulted in an insufficient of groundwater resource.
In order to use groundwater more efficiently, a risk assessment of groundwater pollution …

Symmetry in privacy-based healthcare: a review of skin cancer detection and classification using federated learning

MM Yaqoob, M Alsulami, MA Khan, D Alsadie… - Symmetry, 2023 - mdpi.com
Skin cancer represents one of the most lethal and prevalent types of cancer observed in the
human population. When diagnosed in its early stages, melanoma, a form of skin cancer …

Melanoma detection using XGB classifier combined with feature extraction and K-means SMOTE techniques

CC Chang, YZ Li, HC Wu, MH Tseng - Diagnostics, 2022 - mdpi.com
Melanoma, a very severe form of skin cancer, spreads quickly and has a high mortality rate if
not treated early. Recently, machine learning, deep learning, and other related technologies …

[HTML][HTML] Visualization of urban roadway surface temperature by applying deep learning to infrared images from mobile measurements

S Kawakubo, S Arata, Y Demizu, T Kamata… - Sustainable Cities and …, 2023 - Elsevier
Urban heat islands (UHIs) have been worsening, and Tokyo, Japan, is among the worst
globally. The urban thermal environment requires measurement to formulate effective …

A highly discriminative hybrid feature selection algorithm for cancer diagnosis

T Elemam, M Elshrkawey - The Scientific World Journal, 2022 - Wiley Online Library
Cancer is a deadly disease that occurs due to rapid and uncontrolled cell growth. In this
article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases …