Exploring machine learning models for soil nutrient properties prediction: A systematic review
Agriculture is essential to a flourishing economy. Although soil is essential for sustainable
food production, its quality can decline as cultivation becomes more intensive and demand …
food production, its quality can decline as cultivation becomes more intensive and demand …
An enhanced Predictive heterogeneous ensemble model for breast cancer prediction
S Nanglia, M Ahmad, FA Khan, NZ Jhanjhi - Biomedical Signal Processing …, 2022 - Elsevier
Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …
women and men. This disease is mostly asymptomatic in the early stages thus detection is …
A linear discriminant analysis and classification model for breast cancer diagnosis
MO Adebiyi, MO Arowolo, MD Mshelia, OO Olugbara - Applied Sciences, 2022 - mdpi.com
Although most cases are identified at a late stage, breast cancer is the most public
malignancy amongst women globally. However, mammography for the analysis of breast …
malignancy amongst women globally. However, mammography for the analysis of breast …
[HTML][HTML] Real-time nitrogen monitoring and management to augment N use efficiency and ecosystem sustainability–A review
R Swathy, V Geethalakshmi, S Pazhanivelan… - Journal of Hazardous …, 2024 - Elsevier
Agriculture faces the pressing challenge of feeding a growing population while preserving
the environment and natural resources. Nitrogen (N) is an essential nutrient for plant growth …
the environment and natural resources. Nitrogen (N) is an essential nutrient for plant growth …
Enhancing lung cancer classification effectiveness through hyperparameter-tuned support vector machine
FS Gomiasti, W Warto, E Kartikadarma… - Journal of …, 2024 - dl.futuretechsci.org
This research aims to improve the effectiveness of lung cancer classification performance
using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis …
using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis …
[HTML][HTML] Artificial intelligence and cancer care in Africa
A Akingbola, A Adegbesan, O Ojo, JU Otumara… - Journal of Medicine …, 2024 - Elsevier
AI's potential to revolutionize oncology through enhanced diagnostics, treatment planning,
and patient monitoring is well-documented globally. However, in Africa, its adoption has …
and patient monitoring is well-documented globally. However, in Africa, its adoption has …
[HTML][HTML] Breast cancer risk estimation with intelligent algorithms and risk factors for Cuban women
JM Valencia-Moreno, JA Gonzalez-Fraga… - Computers in Biology …, 2024 - Elsevier
Breast cancer is the most common malignant neoplasm and the leading cause of cancer
mortality among women globally. Current prediction models based on risk factors are …
mortality among women globally. Current prediction models based on risk factors are …
[HTML][HTML] Artificial intelligence-based prediction for cancer-related outcomes in Africa: status and potential refinements
2021 Deep learning Detection of HSIL and LSIL in cervical cancer Phase I-III Internal
0.97[18] 2018 Machine learning Breast cancer staging Phase I, II, IV NIL 0.84[19] 2021 …
0.97[18] 2018 Machine learning Breast cancer staging Phase I, II, IV NIL 0.84[19] 2021 …
[HTML][HTML] Development and validation of colorectal cancer risk prediction tools: a comparison of models
DT Mülder, R van den Puttelaar, RGS Meester… - International Journal of …, 2023 - Elsevier
Background Identification of individuals at elevated risk can improve cancer screening
programmes by permitting risk-adjusted screening intensities. Previous work introduced a …
programmes by permitting risk-adjusted screening intensities. Previous work introduced a …
Comparative approaches by using machine learning algorithms in breast cancer prediction
Cancer is most dangerous disease in the world now. It affects the unusual segments of the
human body. A sum of Breast cancer patients in the world is second-most among all other …
human body. A sum of Breast cancer patients in the world is second-most among all other …