[HTML][HTML] Prediction of cyanotic and acyanotic congenital heart disease using machine learning models
BACKGROUND Congenital heart disease is most commonly seen in neonates and it is a
major cause of pediatric illness and childhood morbidity and mortality. AIM To identify and …
major cause of pediatric illness and childhood morbidity and mortality. AIM To identify and …
A transformer-based model for next disease prediction using electronic health records
N Makarov, M Lipkovich - The European Physical Journal Special Topics, 2025 - Springer
This work proposes a machine learning-based algorithm to predict future diseases that
patients may develop, utilizing historical Electronic Health Record (EHR) data for model …
patients may develop, utilizing historical Electronic Health Record (EHR) data for model …
[HTML][HTML] AI driven interpretable deep learning based fetal health classification
G Mushtaq, K Veningston - SLAS technology, 2024 - Elsevier
In this study, a deep learning model is proposed for the classification of fetal health into 3
categories: Normal, suspect, and pathological. The primary objective is to utilize the power …
categories: Normal, suspect, and pathological. The primary objective is to utilize the power …
[PDF][PDF] A Comprehensive Review on Artificial Intelligence & Blockchain Technology for Human Resource Management System
AMAA Ali - artificial intelligence, 2025 - researchgate.net
Abstract The Transformative Impact of Artificial Intelligence and Blockchain Technology on
HRMS in an Organization. This paper aims to discuss in depth how they can harmoniously …
HRMS in an Organization. This paper aims to discuss in depth how they can harmoniously …
[PDF][PDF] WJCC
Y Shahid, MA Anis, S Abid, M Martínez Nieto… - World, 2024 - researchgate.net
The worldwide burden of tuberculosis (TB) has increased and it can involve virtually any
organ of the body. Intestinal TB accounts for about 2% of the cases of TB worldwide. The …
organ of the body. Intestinal TB accounts for about 2% of the cases of TB worldwide. The …
Economic Cost Prediction Model for Building Construction Based on CNN-DAE Algorithm
X Yang - Informatica, 2025 - informatica.si
This paper aims to explore the effectiveness of constructing the construction economic cost
prediction model of construction engineering by using CNN-DAE algorithm combined with …
prediction model of construction engineering by using CNN-DAE algorithm combined with …
Fundamentals of Encoders and Decoders in Generative AI
At the vanguard of technological innovation, the field of generative AI is revolutionizing the
ways machines engage with and support human creativity. Generative AI, in contrast to …
ways machines engage with and support human creativity. Generative AI, in contrast to …
Interpretable Disease Prediction Based on Kolmogorov-Arnold Networks
K Zhong, Y Chen, W Yang, J Chen… - … on Medical Artificial …, 2024 - ieeexplore.ieee.org
The application of machine learning in the medical field has been a burgeoning area of
research over the past decade. However, a significant challenge lies in the interpretability of …
research over the past decade. However, a significant challenge lies in the interpretability of …
[PDF][PDF] A Comprehensive Review of Disease Prediction Using Internet of Things and Artificial Intelligence
AMAA Ali - 2024 - researchgate.net
The healthcare industry has completely transformed as a result of the (IoT) and (AI)
integration, particularly in the area of disease prediction. This comprehensive audit focuses …
integration, particularly in the area of disease prediction. This comprehensive audit focuses …
[PDF][PDF] A Comprehensive Review of Liver Disease Prediction Using Big and Artificial Intelligence
AMAA Ali - 2024 - researchgate.net
Liver disease is one of the leading causes of death all over the globe, with millions of deaths
reported each year. It is important to determine the onset of liver disease, to better treat the …
reported each year. It is important to determine the onset of liver disease, to better treat the …