ML-based early detection of lung cancer: an integrated and in-depth analytical framework
The human lungs, crucial for supplying oxygen, are vulnerable to diseases such as lung
cancer, a leading cause of mortality. Timely prediction of lung cancer is essential to enable …
cancer, a leading cause of mortality. Timely prediction of lung cancer is essential to enable …
An Optimized Feature‐Based Prediction Model for Grou** the Liver Patients
B Yadav, R Bajaj - Optimized Predictive Models in Healthcare …, 2024 - Wiley Online Library
Liver illnesses have given an insight into electronic health records and reports that include
patient medical information and various other disorders. These analytics must, however, be …
patient medical information and various other disorders. These analytics must, however, be …
Performance Analysis of Drug Toxicity Prediction Using Machine Learning Approaches
D Rawat, R Bajaj - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Prediction of toxicity is a great challenge over the years. The development of a new drug or
chemical compound is quite an expensive and complex process. Artificial intelligence and …
chemical compound is quite an expensive and complex process. Artificial intelligence and …
[PDF][PDF] Deciphering foot and mouth disease predictive modeling: Uncovering attribute correlations and risk factors with advanced machine learning
Foot and mouth disease (FMD) presents a formidable challenge to the global livestock
industry, with significant implications for food security, trade, and animal welfare. Despite …
industry, with significant implications for food security, trade, and animal welfare. Despite …
Multi-Objective k-Nearest Neighbor for Breast Cancer Detection
Early detection of cancer is crucial. This study aims to increase the efficiency of breast
cancer detection using the modified k-nearest neighbor (k-NN) algorithm. Since k-NN faces …
cancer detection using the modified k-nearest neighbor (k-NN) algorithm. Since k-NN faces …
Feature Selection for Breast Cancer Detection
K Sharda, MS Ramdev, D Rawat… - … Predictive Models in …, 2024 - Wiley Online Library
Breast cancer (BC) is the most prevalent disease affecting women worldwide. With an
estimated 8.2 million fatalities, it is the leading cause of death worldwide. Several …
estimated 8.2 million fatalities, it is the leading cause of death worldwide. Several …
Lung Cancer Risk Prediction Features Influence Model Based on Machine Learning Techniques
Currently, lung cancer is a very common form of cancer. This is because many people are
chain smokers nowadays, and many are affected due to their work hazards. The pollution …
chain smokers nowadays, and many are affected due to their work hazards. The pollution …
Quality Level Identification of Stored Chicken Using Machine Learning Algorithms
J Gunasekara, S Rathnayake… - 2023 5th International …, 2023 - ieeexplore.ieee.org
This research addresses the need for accurate and efficient identification of chicken meat
quality. By applying machine learning algorithms, including Decision Tree, Random Forest …
quality. By applying machine learning algorithms, including Decision Tree, Random Forest …
Enhancing Breast Cancer Prediction with an Advanced K-Nearest Neighbors (KNN) Algorithm Integrated with Feedback Support Mechanism
Cancer poses a formidable global health challenge characterized by a persistent rise in
mortality rates, with breast cancer emerging as the predominant form in 2020. Effectively …
mortality rates, with breast cancer emerging as the predominant form in 2020. Effectively …
Early Prediction of Lung Cancer Employing Machine Learning: A Comprehensive Approach
Y Sinjanka, V Kaur, UI Musa, K Kaur - 2024 - researchsquare.com
The human lungs, crucial for supplying oxygen, are vulnerable to diseases such as lung
cancer, a leading cause of mortality. Timely prediction of lung cancer is essential to enable …
cancer, a leading cause of mortality. Timely prediction of lung cancer is essential to enable …