Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms
W Zhang, C Wu, L Tang, X Gu, L Wang - Gondwana Research, 2023 - Elsevier
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important areas for
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …
Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important landslide-
prone regions in China, and rational stability evaluation of reservoir slopes in it is of great …
prone regions in China, and rational stability evaluation of reservoir slopes in it is of great …
Vgg16 feature extractor with extreme gradient boost classifier for pancreas cancer prediction
The prognosis of patients with pancreatic ductal adenocarcinoma (PDAC) is greatly
improved by an early and accurate diagnosis. Several studies have created automated …
improved by an early and accurate diagnosis. Several studies have created automated …
Machine learning approaches for predicting hypertension and its associated factors using population-level data from three South Asian countries
Background Hypertension is the most common modifiable risk factor for cardiovascular
diseases in South Asia. Machine learning (ML) models have been shown to outperform …
diseases in South Asia. Machine learning (ML) models have been shown to outperform …
Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis
Objective Our goal was to review the available literature on prognostic risk prediction for
incident hypertension, synthesize performance, and provide suggestions for future work on …
incident hypertension, synthesize performance, and provide suggestions for future work on …
Association between symptoms and severity of disease in hospitalised novel coronavirus (COVID-19) patients: a systematic review and meta-analysis
Background Symptoms of the novel coronavirus disease (COVD-19) are well known,
although asymptomatic cases were also reported due to this rapidly evolving viral disease …
although asymptomatic cases were also reported due to this rapidly evolving viral disease …
Survey and evaluation of hypertension machine learning research
Background Machine learning (ML) is pervasive in all fields of research, from automating
tasks to complex decision‐making. However, applications in different specialities are …
tasks to complex decision‐making. However, applications in different specialities are …
[Retracted] A New Feature Selection Method Based on Hybrid Approach for Colorectal Cancer Histology Classification
Colorectal cancer (CRC) is one of the most common malignant cancers worldwide. To
reduce cancer mortality, early diagnosis and treatment are essential in leading to a greater …
reduce cancer mortality, early diagnosis and treatment are essential in leading to a greater …
Stacking-based multi-objective ensemble framework for prediction of hypertension
Hypertension is a common health problem that is costly to treat, difficult to control, and
frequently results in serious and fatal disorders like cardiovascular disease (CVD) and …
frequently results in serious and fatal disorders like cardiovascular disease (CVD) and …
HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine
The strain on healthcare systems is growing dramatically due to the significant rise in
heterogeneous chronic disease incidence. Even though frequent patient monitoring is …
heterogeneous chronic disease incidence. Even though frequent patient monitoring is …