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 …
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 …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
Heat-assisted detection and ranging
Abstract Machine perception uses advanced sensors to collect information about the
surrounding scene for situational awareness,,,,,–. State-of-the-art machine perception using …
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 …
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 …
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 …
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
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 …
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
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 …
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
Urban heat islands (UHIs) have been worsening, and Tokyo, Japan, is among the worst
globally. The urban thermal environment requires measurement to formulate effective …
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 …
article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases …