Objectives: To assess the incidence of respiratory morbidity (RM) in all single live neonates
born> 36 weeks of gestation, and the effects of perinatal characteristics on these morbidities. …

… which connect to the patient’s body. Islam et al. [36] developed a “Smart HMS in an IoT
environment”. This system was built to monitor a patient’s basic health signs such as heartbeat …

… Lamalem, ‘Parkinson’s disease classification using machine learning algorithms: performance
analysis and comparison’, in 2022 2nd International Conference on Innovative Research …

… of Parkinson’s disease progression remotely. … ’s disease from speech disorders [50],
detecting Parkinson’s disease from handwriting using deep learning [36], detecting Parkinson’s …

This study aims to build a healthcare-embedded system based on the Artificial Intelligence
of Things (AIoT) to predict people affected by Parkinson's Disease (PD) via vocal disorders …

Significant health concerns are associated with skin diseases, and accurate and timely
diagnosis is essential for effective treatment and patient management. To improve the …

… Khalil, and S. Nasreen, ―A survey of feature selection and feature extraction techniques in
… Adegun and S. Viriri, ―Deep learning techniques for skin lesion analysis and melanoma …

… Copyrights for components of this work owned by others than the author(s) must be honored.
Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to …

… The Area Under the ROC curve (AUC) is a measure of the model’s performance. A higher …
Terrada, “A Novel Approach for Parkinson’s Disease Detection Based on Voice Classification …

Background: A frequent and significant pro-inflammatory cytokine is IL-1α. In healthy cells,
the IL-1α precursor is essentially present in almost all cell types, but it becomes a bioactive …