Explainable artificial intelligence in Alzheimer's disease classification: A systematic review

V Viswan, N Shaffi, M Mahmud, K Subramanian… - Cognitive …, 2024 - Springer
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Application of explainable artificial intelligence in alzheimer's disease classification: A systematic review

V Vimbi, N Shaffi, M Mahmud, K Subramanian… - 2023 - researchsquare.com
Abstract Context: Artificial Intelligence (AI) in the medical domain has achieved remarkable
results on various metrics primarily due to recent advancements in computational …

Fetal Hypoxia Detection Using Machine Learning: A Narrative Review

N Alharbi, M Youldash, D Alotaibi, H Aldossary… - AI, 2024 - mdpi.com
Fetal hypoxia is a condition characterized by a lack of oxygen supply in a developing fetus in
the womb. It can cause potential risks, leading to abnormalities, birth defects, and even …

An Efficient Fuzzy Colored Petri-Nets-Based Ubiquitous Framework for Diversified Culture of Building Automation in India

S Puri, MA Babu, MM Ahmmed, MM Rahman… - Procedia Computer …, 2024 - Elsevier
Due to the cultural and traditional diversity of the Indian environment, the successful
implementation of self-automated and smart architectures is very challenging. As the IoT …

ML-Based Interpretation of Cardiotocography Data: Current State and Future Research

TM Kadarina, D Gunawan - 2023 International Conference of …, 2023 - ieeexplore.ieee.org
To evaluate the health and well-being of an unborn child throughout pregnancy, fetal risk
prediction is a crucial component of prenatal care. The evaluation of potential risks and …

Fetal Health Classification using AI from Cardiotocography Features

G Jyostna, HR Goyal, MEM Soudagar… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Maternal health issues during pregnancy are a major global concern because they result in
fetal death, which is more frequent in rising and poor countries. Cardiotocography (CTG) is …

2D Medical Image Segmentation

Ž Mária, K Boratková, M Vrábel, S Shvydka… - … Conference on Data …, 2023 - Springer
This paper studies and proceeds with different types of medical data. Medical image
analysis always deals with challenges of good and diagnosing of different medical …

Foetal Health Classification Using Input Dataset and Fine Tuning it using K-nearest Neighbour, Naïve Bayes and Decision Tree Classifier

KS Gill, V Anand, R Gupta - 2023 First International Conference …, 2023 - ieeexplore.ieee.org
Classifying foetal health is a crucial responsibility in healthcare, and innovative machine
learning techniques can be utilised to help. In this instance, K-nearest neighbour, Nave …

A robust artificial intelligence method detects almost non-reactive Non-stress pattern: What we expect?

C Zhu, Z Li, X Wang, B Xu, X Guo, J Huang, B Liu, H Li… - 2023 - researchsquare.com
Objective To compare interpretation of prenatal non-stress (NST) pattern between
obstetricians and artificial intelligence (AI), and to determine the degree of agreement of AI …