[HTML][HTML] A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean
Drought is a natural hazard which affects ecosystems in the eastern Mediterranean.
However, limited historical data for drought monitoring and forecasting are available in the …
However, limited historical data for drought monitoring and forecasting are available in the …
Intelligent diagnostic prediction and classification models for detection of kidney disease
Kidney disease is a major public health concern that has only recently emerged. Toxins are
removed from the body by the kidneys through urine. In the early stages of the condition, the …
removed from the body by the kidneys through urine. In the early stages of the condition, the …
Spatiotemporal dynamics of global population and heat exposure (2020–2100): Based on improved SSP-consistent population projections
To address future environmental change and consequent social vulnerability, a better
understanding of future population (FPOP) dynamics is critical. In this regard, notable …
understanding of future population (FPOP) dynamics is critical. In this regard, notable …
Machine learning for risk stratification in kidney disease
FF Gulamali, AS Sawant… - Current opinion in …, 2022 - journals.lww.com
The four key methods to stratify chronic kidney disease risk are genomics, multiomics,
supervised and unsupervised machine learning methods. Polygenic risk scores utilize …
supervised and unsupervised machine learning methods. Polygenic risk scores utilize …
A Novel Categorization of Key Predictive Factors Impacting Hotels' Online Ratings: A Case of Makkah
HP Singh, IA Alhamad - Sustainability, 2022 - mdpi.com
In the present Internet age, customers have turned to online booking websites to meet their
demand for quality hotel services and convey their experiences. As hotels can survive and …
demand for quality hotel services and convey their experiences. As hotels can survive and …
Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements
Risk prediction is the most sensitive and critical activity in the Software Development Life
Cycle (SDLC). It might determine whether the project succeeds or fails. To increase the …
Cycle (SDLC). It might determine whether the project succeeds or fails. To increase the …
An ensemble learning-based model for effective chronic kidney disease prediction
S Kumari, SK Singh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Due to rising chronic kidney disease (CKD) cases across the globe, it is required to be
detected and diagnosed effectively. Machine learning-based models can be an effective tool …
detected and diagnosed effectively. Machine learning-based models can be an effective tool …
[PDF][PDF] Abmj: An ensemble model for risk prediction in software requirements
MM Otoom - Ijcsns, 2022 - researchgate.net
Due to the rising complexity of software projects, it is quite difficult to predict the risk in
software requirements which is the most profound and essential activity in SDLC. It may lead …
software requirements which is the most profound and essential activity in SDLC. It may lead …
An ensemble learning approach for chronic kidney disease prediction using different machine learning algorithms with correlation based feature selection
Chronic Kidney Disease (CKD), also known as Chronic Renal Disease is considered one of
the biggest reasons acting behind deaths in adults all over the globe and the number is …
the biggest reasons acting behind deaths in adults all over the globe and the number is …
Adding explainability to machine learning models to detect chronic kidney disease
Chronic Kidney Disease is a common term for multiple heterogeneous diseases in the
kidneys. It is also known as Chronic Renal Disease. Chronic kidney disease (CKD) has a …
kidneys. It is also known as Chronic Renal Disease. Chronic kidney disease (CKD) has a …