Enhancing the predictive capability of a mathematical model for pseudomonas aeruginosa through artificial neural networks
S Naz, GS Kashyap - International Journal of Information Technology, 2024 - Springer
This paper talks about a type of bacterium called Pseudomonas Aeruginosa (PA) that can
infect vulnerable people and can affect hospitals despite years of research. Its distinctive trait …
infect vulnerable people and can affect hospitals despite years of research. Its distinctive trait …
A systematic review on cardiovascular disease detection and classification
Cardiovascular Disease (CVD) is a life-threatening syndrome and the primary cause of
many fatalities worldwide. Specifically, cardiac disease impairs blood vessel function and …
many fatalities worldwide. Specifically, cardiac disease impairs blood vessel function and …
Audio spectrogram analysis in IoT paradigm for the classification of psychological-emotional characteristics
Psychological activities have various dimensions in which they correlate with their
respective behavior generated by the human body. Understanding the relationship of …
respective behavior generated by the human body. Understanding the relationship of …
Integrated feature selection and ensemble learning for heart disease detection: a 2-tier approach with ALAN and ET-ABDF machine learning model
A Mandula, BS Vijaya Kumar - International Journal of Information …, 2024 - Springer
The findings of this investigation give a novel approach to the forecasting of heart disease.
For the purpose of determining significant features, it is a 2-tier procedure that uses a …
For the purpose of determining significant features, it is a 2-tier procedure that uses a …
Machine learning in the identification of phenotypes of multiple sclerosis patients
P Jeyananthan - International Journal of Information Technology, 2024 - Springer
Multiple sclerosis (MS) is a complex disease affecting the central nervous system, mainly in
young adults. Even though there is no cure for this disease, correct phenotype identification …
young adults. Even though there is no cure for this disease, correct phenotype identification …
[HTML][HTML] Optimization of multidimensional feature engineering and data partitioning strategies in heart disease prediction models
S Wang, L Zhang, X Liu, J Sun - Alexandria Engineering Journal, 2024 - Elsevier
The relentless rise in heart disease incidence, a leading global cause of death, presents a
significant public health challenge. Precise prediction of heart disease risk and early …
significant public health challenge. Precise prediction of heart disease risk and early …
PSO-XnB: a proposed model for predicting hospital stay of CAD patients
Coronary artery disease poses a significant challenge in decision-making when predicting
the length of stay for a hospitalized patient. This study presents a predictive model—a …
the length of stay for a hospitalized patient. This study presents a predictive model—a …
A data-augmented vision transformer model for robust multi-label ECG arrhythmia classification
Efficient diagnosis of cardiovascular diseases is a key issue due to data imbalance in
electrocardiogram (ECG) datasets, which can lead to bias in model predictions and hinder …
electrocardiogram (ECG) datasets, which can lead to bias in model predictions and hinder …
Chaos Optimization Algorithms: A Survey
Y Zhang, J Lu, C Zhao, Z Li, J Yan - International Journal of …, 2024 - World Scientific
Chaos Optimization Algorithms (COAs) have emerged as a potent global optimization
technique, exhibiting remarkable capabilities in tackling complex optimization challenges. In …
technique, exhibiting remarkable capabilities in tackling complex optimization challenges. In …
Improvisation of artificial hummingbird algorithm through incorporation of chaos theory in intelligent optimization of fractional order PID controller tuning
H Sarma, A Bardalai - International Journal of Information Technology, 2024 - Springer
Artificial hummingbird algorithm (AHA) is one of the recent bio-inspired meta-heuristic
algorithms which is based on hummingbirds' intelligent behaviours. Just like many meta …
algorithms which is based on hummingbirds' intelligent behaviours. Just like many meta …