[HTML][HTML] COVID mortality prediction with machine learning methods: a systematic review and critical appraisal

F Bottino, E Tagliente, L Pasquini, AD Napoli… - Journal of personalized …, 2021 - mdpi.com
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 …

Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis

A Sharma, PK Mishra - International Journal of Information Technology, 2022 - Springer
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 …

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 …

Soil erosion susceptibility map** using ensemble machine learning models: A case study of upper Congo river sub-basin

LC Kulimushi, JB Bashagaluke, P Prasad, AB Heri-Kazi… - Catena, 2023 - Elsevier
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 …

Machine learning method for energy consumption prediction of ships in port considering green ports

Y Peng, H Liu, X Li, J Huang, W Wang - Journal of Cleaner Production, 2020 - Elsevier
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 …

Sentiment analysis on hotel reviews using Multinomial Naïve Bayes classifier

AA Farisi, Y Sibaroni, S Al Faraby - Journal of Physics …, 2019 - iopscience.iop.org
In this modern age where the internet is growing rapidly, the existence of the internet can
make it easier for tourist to find any information. In the field of tourism hotel, internet is very …

[HTML][HTML] Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications

S Lee, J Park, N Kim, T Lee, L Quagliato - Materials & Design, 2023 - Elsevier
Abstract Design and process optimization are key aspects of manufacturing engineering.
This contribution details a machine learning (ML) methodology capable of learning from …

Exploring different computational approaches for effective diagnosis of breast cancer

N Bharadvaja - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
Breast cancer has been identified as one among the top causes of female death worldwide.
According to recent research, earlier detection plays an important role toward fortunate …

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 …

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 …