How do machines learn? artificial intelligence as a new era in medicine
O Koteluk, A Wartecki, S Mazurek… - Journal of Personalized …, 2021 - mdpi.com
With an increased number of medical data generated every day, there is a strong need for
reliable, automated evaluation tools. With high hopes and expectations, machine learning …
reliable, automated evaluation tools. With high hopes and expectations, machine learning …
[HTML][HTML] An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset
Anemia is a condition in which the oxygen-carrying capacity of red blood cells is insufficient
to meet the body's physiological needs. It affects billions of people worldwide. An early …
to meet the body's physiological needs. It affects billions of people worldwide. An early …
A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with sig-nificant clinical
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
Multi-category gesture recognition modeling based on sEMG and IMU signals
Y Jiang, L Song, J Zhang, Y Song, M Yan - Sensors, 2022 - mdpi.com
Gesture recognition based on wearable devices is one of the vital components of human–
computer interaction systems. Compared with skeleton-based recognition in computer …
computer interaction systems. Compared with skeleton-based recognition in computer …
Comparative study of wearable sensors, video, and handwriting to detect Parkinson's disease
A Talitckii, E Kovalenko, A Shcherbak… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is the second most common neurodegenerative disorder that
affects the extrapyramidal motor system. The initial clinical symptoms can appear long …
affects the extrapyramidal motor system. The initial clinical symptoms can appear long …
Leveraging deep feature learning for wearable sensors based handwritten character recognition
Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …
in various fields, including education, communication, biometric signature verification, and …
From online handwriting to synthetic images for Alzheimer's disease detection using a deep transfer learning approach
Early diagnosis of neurodegenerative disorders, such as Alzheimer's Disease (AD), is very
important to reduce their effects and to improve both quality and life expectancy of patients …
important to reduce their effects and to improve both quality and life expectancy of patients …
Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages
Progressive supranuclear palsy (PSP) is a rare and rapidly progressing atypical
parkinsonism. Albeit existing clinical criteria for PSP have good specificity and sensitivity …
parkinsonism. Albeit existing clinical criteria for PSP have good specificity and sensitivity …
Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset
Parkinson's disease dysgraphia (PDYS), one of the earliest signs of Parkinson's disease
(PD), has been researched as a promising biomarker of PD and as the target of a …
(PD), has been researched as a promising biomarker of PD and as the target of a …
Object detection for industrial applications: Training strategies for ai-based depalletizer
In the last 10 years, the demand for robot-based depalletization systems has constantly
increased due to the growth of sectors such as logistics, storage, and supply chains. Since …
increased due to the growth of sectors such as logistics, storage, and supply chains. Since …