Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review

NG Ramadhan, W Maharani, AA Gozali - IEEE Access, 2024 - ieeexplore.ieee.org
According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …

Publicly verifiable and secure SVM classification for cloud-based health monitoring services

D Lei, J Liang, C Zhang, X Liu, D He… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In cloud-based health monitoring services, healthcare centers often outsource support
vector machine (SVM)-based clinical decision models to provide remote users with clinical …

Study on the effect of straw mulching on farmland soil water

JX Zhang - Journal of Environmental and Public Health, 2022 - Wiley Online Library
Straw mulching farming is currently an effective dry farming technique for improving arid soil
environments. Straw mulching technology can increase the infiltration capacity of soil water …

Policy effectiveness and environmental policy Assessment: A model of the environmental benefits of renewable energy for sustainable development

B Shi, H Wang - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
The further development of integrated energy systems at the city-region level is an important
way to improve the efficiency of integrated energy use, enhance the use of renewable …

Weighted Bayesian Belief Network for diabetics: a predictive model

S Kharya, S Soni, A Pati, A Panigrahi, J Giri… - Frontiers in Artificial …, 2024 - frontiersin.org
Diabetes is an enduring metabolic condition identified by heightened blood sugar levels
stemming from insufficient production of insulin or ineffective utilization of insulin within the …

A Diabetes Prediction Model with Visualized Explainable Artificial Intelligence (XAI) Technology

Y Zhao, JK Chaw, MC Ang, MM Daud, L Liu - International Visual …, 2023 - Springer
Diabetes is a group of non-communicable diseases (NCD) that cannot be cured by current
medical technologies and can lead to various serious complications. Significantly reducing …

Optimizing Predictive Performance: Hyperparameter Tuning in Stacked Multi-Kernel Support Vector Machine Random Forest Models for Diabetes Identification

DCE Saputra, A Ma'arif, K Sunat - Journal of Robotics and Control …, 2023 - journal.umy.ac.id
This study addresses the necessity for more advanced diagnostic tools in managing
diabetes, a chronic metabolic disorder that leads to disruptions in glucose, lipid, and protein …

A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction

Y Zhong, B Yan, KH Liu, Y Xu, S He… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Hepatotoxicity prediction is key to diseases with the high mortality rate. However, most of the
algorithms used by now are black box in nature and lack of clear interpretability. This paper …

Medical applications of artificial intelligence

BK Pradhan, D Biswas, BC Neelapu… - Advances in Artificial …, 2024 - Elsevier
Technologies like artificial intelligence (AI) have efficiently provided clinical solutions and
aided the healthcare system. The application of AI is not limited to a specific domain in …

OptiDiab: revolutionizing diabetes detection with the binary bald eagle search algorithm

R Karthikeyan, P Geetha, E Ramaraj - Multimedia Tools and Applications, 2024 - Springer
With the continuous rise in the count of deadly diseases that risk either human life or health,
the medical Decision Support System keeps proving its efficiency in providing healthcare …