COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis
Healthcare systems around the world are facing huge challenges in responding to trends of
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
Machine learning classification techniques for breast cancer diagnosis
DA Omondiagbe, S Veeramani… - IOP conference series …, 2019 - iopscience.iop.org
Breast cancer is one of the most widely spread disease and the second leading cause of
cancer death among women. Breast cancer starts when malignant lumps which are …
cancer death among women. Breast cancer starts when malignant lumps which are …
Machine learning techniques and breast cancer prediction: A review
G Kaur, R Gupta, N Hooda, NR Gupta - Wireless Personal …, 2022 - Springer
Cancer is one of the most prevalent diseases in humans, both in terms of incidence and
fatality. Cancer care is a growing area of focus for developing interventions to improve the …
fatality. Cancer care is a growing area of focus for developing interventions to improve the …
Machine learning method for energy consumption prediction of ships in port considering green ports
Two main contributions of this paper are 1) the energy consumption of ships (ECS) in port is
predicted, 2) reduction strategies for energy consumption of ships in port are discussed by …
predicted, 2) reduction strategies for energy consumption of ships in port are discussed by …
Soil erosion susceptibility mapping using ensemble machine learning models: A case study of upper Congo river sub-basin
Despite its large size, the Congo Basin (CB), which spans ten countries, has remained an
area of particular interest for scientific discovery due to gaps in Earth science, environmental …
area of particular interest for scientific discovery due to gaps in Earth science, environmental …
[HTML][HTML] Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications
Abstract Design and process optimization are key aspects of manufacturing engineering.
This contribution details a machine learning (ML) methodology capable of learning from …
This contribution details a machine learning (ML) methodology capable of learning from …
Machine learning classifiers on breast cancer recurrences
VPC Magboo, MSA Magboo - Procedia Computer Science, 2021 - Elsevier
Breast cancer remains to be a leading cause of cancer-related deaths among women.
Mortality is mainly attributed to metastasis and recurrence. Hence, early detection of breast …
Mortality is mainly attributed to metastasis and recurrence. Hence, early detection of breast …
A cloud-based predictive model for the detection of breast cancer
Invasive cancer is the biggest cause of death worldwide, especially among women. Early
cancer detection is vital to health. Early identification of breast cancer improves prognosis …
cancer detection is vital to health. Early identification of breast cancer improves prognosis …
Modelling of soil erosion susceptibility incorporating sediment connectivity and export at landscape scale using integrated machine learning, InVEST-SDR and …
RK Bhattacharya, ND Chatterjee, K Das - Journal of Environmental …, 2024 - Elsevier
Evaluating the linkage between soil erosion and sediment connectivity for export
assessment in different landscape patterns at catchment scale is valuable for optimization of …
assessment in different landscape patterns at catchment scale is valuable for optimization of …