Unveiling the potential of machine learning approaches in predicting the emergence of stroke at its onset: a predicting framework
SL JM, SP - Scientific Reports, 2024 - nature.com
A stroke is a dangerous, life-threatening disease that mostly affects people over 65, but an
unhealthy diet is also contributing to the development of strokes at younger ages. Strokes …
unhealthy diet is also contributing to the development of strokes at younger ages. Strokes …
Effective cardiac disease classification using FS-XGB and GWO approach
R Jayaparvathy - Medical Engineering & Physics, 2024 - Elsevier
Globally, cardiovascular diseases (CVDs) are a leading cause of death; however, their
impact can be greatly mitigated by early detection and treatment. Machine learning (ML) …
impact can be greatly mitigated by early detection and treatment. Machine learning (ML) …
[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 …
High-Accuracy COVID-19 Prediction Using Optimized Union Ensemble Feature Selection Approach
A Jafar, M Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Recently, the world has been dealing with a severe outbreak of COVID-19. The rapid
transmission of the virus causes mild to severe cases of cough, fever, body aches, organ …
transmission of the virus causes mild to severe cases of cough, fever, body aches, organ …
Future prediction for precautionary measures associated with heart-related issues based on IoT prototype
GK Yenurkar, S Mal, A Wakulkar, K Umbarkar… - Multimedia Tools and …, 2024 - Springer
Cardiovascular disease (CVD) has become a significant cause of death around the world,
with heart-related problems being a major contributor to this trend. It's crucial to identify the …
with heart-related problems being a major contributor to this trend. It's crucial to identify the …
Adaptive Penalized Likelihood method for Markov Chains
Y Zhou, M Gao, Y Chen, X Shi - arXiv preprint arXiv:2406.00322, 2024 - arxiv.org
Maximum Likelihood Estimation (MLE) and Likelihood Ratio Test (LRT) are widely used
methods for estimating the transition probability matrix in Markov chains and identifying …
methods for estimating the transition probability matrix in Markov chains and identifying …
Design and Development of an Efficient Explainable AI Framework for Heart Disease Prediction.
D Tenepalli, TM Navamani - International Journal of …, 2024 - search.ebscohost.com
Heart disease remains a global health concern, demanding early and accurate prediction for
improved patient outcomes. Machine learning offers promising tools, but existing methods …
improved patient outcomes. Machine learning offers promising tools, but existing methods …