Machine learning differentiation of Parkinson’s disease and normal pressure hydrocephalus using wearable sensors capturing gait impairments

Electroencephalogram-based emotion recognition using involvement indexes: A machine-learning approach

Alessandro Dell’Orletta, Erica Iammarino, Agnese Sbrollini, L. Burattini, I. Marcantoni

Early prediction of Paroxysmal Atrial Fibrillation via machine learning and an interpretable fuzzy expert system

Francisco Javier Maldonado Carrascosa, José-Ángel Cabrera, S. García Galán, José Enrique Muñoz Expósito, M. Szczerska, A. Marchewka

Machine learning-based remote PPG signal quality assessment for in-vehicle driver monitoring

Sonja Babac, Luc P.J. Vosters, Rik Vullings, Svitlana Zinger, Mark J.H. van Gastel

Deep learning-based screening for mild cognitive impairment through clock-drawing test

Wen-Yu Hsieh, Yu Sun, Daw-Tung Lin

XAAI-ledger: An explainable CNN-transformer-based multi-modal deep learning framework for early detection of melanoma and non-melanoma skin cancers using dermoscopic and clinical data

I. Haq, Humayra Atia Joarder, Abdullah Ayub Khan, Xuyang Shi, J. Alsayaydeh, M. Yusof, et al.

A lightweight ALO optimized and learnable skip-connection integrated ResNet architecture for breast cancer diagnosis

Hiren Mewada, Ivan Miguel Pires, Hiren Kumar Thakkar, Amit Patel

Breast cancer is a global health concern, and early detection through screening programs is crucial for reducing mortality. Deep Convolutional Neural Networks (CNNs) are widely adopted for image classification, but their accuracy depends on the number of layers, structure paramet…Read more

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