[HTML][HTML] Machine learning and lean six sigma to assess how COVID-19 has changed the patient management of the complex operative unit of neurology and stroke …

G Improta, A Borrelli, M Triassi - International Journal of Environmental …, 2022 - mdpi.com
Background: In health, it is important to promote the effectiveness, efficiency and adequacy
of the services provided; these concepts become even more important in the era of the …

[HTML][HTML] Multiparametric investigation of dynamics in fetal heart rate signals

AM Ponsiglione, F Amato, M Romano - Bioengineering, 2021 - mdpi.com
In the field of electronic fetal health monitoring, computerized analysis of fetal heart rate
(FHR) signals has emerged as a valid decision-support tool in the assessment of fetal …

[HTML][HTML] Machine learning and regression analysis to model the length of hospital stay in patients with femur fracture

C Ricciardi, AM Ponsiglione, A Scala, A Borrelli… - Bioengineering, 2022 - mdpi.com
Fractures of the femur are a frequent problem in elderly people, and it has been
demonstrated that treating them with a diagnostic–therapeutic–assistance path within 48 h …

[HTML][HTML] Accessing artificial intelligence for fetus health status using hybrid deep learning algorithm (AlexNet-SVM) on cardiotocographic data

N Muhammad Hussain, AU Rehman, MTB Othman… - Sensors, 2022 - mdpi.com
Artificial intelligence is serving as an impetus in digital health, clinical support, and health
informatics for an informed patient's outcome. Previous studies only consider classification …

On designing a biosignal-based fetal state assessment system: A systematic mapping study

MG da Silva Neto, JP do Vale Madeiro… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective The patterns present in biosignals, such as fetal heart
rate (FHR), are valuable indicators of fetal well-being. In designing biosignal analysis …

[HTML][HTML] predictive analysis of hospital stay after caesarean section: A single-center study

AM Ponsiglione, TA Trunfio, F Amato, G Improta - Bioengineering, 2023 - mdpi.com
Caesarean section (CS) rate has seen a significant increase in recent years, especially in
industrialized countries. There are, in fact, several causes that justify a CS; however …

[HTML][HTML] Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A Review

L Mendis, M Palaniswami, F Brownfoot, E Keenan - Bioengineering, 2023 - mdpi.com
The measurement and analysis of fetal heart rate (FHR) and uterine contraction (UC)
patterns, known as cardiotocography (CTG), is a key technology for detecting fetal …

Using features extracted from upper limb reaching tasks to detect Parkinson's disease by means of machine learning models

G Cesarelli, L Donisi, F Amato… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
While in the literature there is much interest in investigating lower limbs gait of patients
affected by neurological diseases, such as Parkinson's Disease (PD), fewer publications …

[HTML][HTML] Machine learning approaches with textural features to calculate breast density on mammography

M Sansone, R Fusco, F Grassi, G Gatta, MP Belfiore… - Current …, 2023 - mdpi.com
Background: breast cancer (BC) is the world's most prevalent cancer in the female
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …

[HTML][HTML] Implementation of Predictive Algorithms for the Study of the Endarterectomy LOS

TA Trunfio, A Borrelli, G Improta - Bioengineering, 2022 - mdpi.com
Background: In recent years, the length of hospital stay (LOS) following endarterectomy has
decreased significantly from 4 days to 1 day. LOS is influenced by several common …