[HTML][HTML] A comparative analysis of breast cancer detection and diagnosis using data visualization and machine learning applications
MF Ak - Healthcare, 2020 - mdpi.com
In the developing world, cancer death is one of the major problems for humankind. Even
though there are many ways to prevent it before happening, some cancer types still do not …
though there are many ways to prevent it before happening, some cancer types still do not …
A novel enhanced hybrid clinical decision support system for accurate breast cancer prediction
Feature selection is one of the crucial data preprocessing techniques for improving the
performance of machine learning (ML) models. Recently, metaheuristic feature selection …
performance of machine learning (ML) models. Recently, metaheuristic feature selection …
Breast cancer detection using particle swarm optimization and decision tree machine learning technique
Cancer of the breast is one of the deadliest diseases encountered by women and requires
early diagnosis. Although more time is required for the traditional diagnostic process, a …
early diagnosis. Although more time is required for the traditional diagnostic process, a …
Study of machine learning models for the prediction and detection of lungs cancer
The main purpose of this study is to identify the various MachineLearning (ML) algorithm
which is helpful in the prediction and detection of the Lungs Cancer. Lung'sCancer is the …
which is helpful in the prediction and detection of the Lungs Cancer. Lung'sCancer is the …
Automated detection of bleeding in capsule endoscopy using on-chip multispectral imaging sensors
Gastrointestinal (GI) bleeding is a common problem and may lead to fatal consequences.
The detection of bleeding is currently determined through conventional examination of …
The detection of bleeding is currently determined through conventional examination of …
[HTML][HTML] A cost-effective and portable optical sensor system to estimate leaf nitrogen and water contents in crops
Non-invasive determination of leaf nitrogen (N) and water contents is essential for ensuring
the healthy growth of the plants. However, most of the existing methods to measure them are …
the healthy growth of the plants. However, most of the existing methods to measure them are …
[HTML][HTML] Study the Effect of the Risk Factors in the Estimation of the Breast Cancer Risk Score Using Machine Learning
Objective: Early prediction of breast cancer is one of the most essential fields of medicine.
Many studies have introduced prediction approaches to facilitate the early prediction and …
Many studies have introduced prediction approaches to facilitate the early prediction and …
The Classification of Breast Cancer Based on Hyper-Tuned AdaBoost Ensemble Model
D Tiwari, M Dixit, K Gupta - … Intelligence Techniques for Data Analysis and …, 2023 - Springer
This paper simply presents an automated approach based on hyperparameter tuned
AdaBoost ensemble model for the classification of cancer of breast into benign and …
AdaBoost ensemble model for the classification of cancer of breast into benign and …
[PDF][PDF] A Cost-effective Multispectral Sensor System for Leaf-Level Physiological Traits
M Habibullah - 2020 - harvest.usask.ca
With the concern of the global population to reach 9 billion by 2050, ensuring global food
security is a prime challenge for the research community. One potential way to tackle this …
security is a prime challenge for the research community. One potential way to tackle this …