Prediction of ECOG performance status of lung cancer patients using LIME-based machine learning

HV Nguyen, H Byeon - Mathematics, 2023 - mdpi.com
The Eastern Cooperative Oncology Group (ECOG) performance status is a widely used
method for evaluating the functional abilities of cancer patients and predicting their …

[HTML][HTML] Enhancing cancer detection and prevention mechanisms using advanced machine learning approaches

KN Mishra, A Mishra, S Ray, A Kumari… - Informatics in Medicine …, 2024 - Elsevier
Cancer is a major global health challenge, emphasizing the critical need for early detection
to enhance patient outcomes. This study thoroughly investigates the applications of …

Improving the Accuracy of Oncology Diagnosis: A Machine Learning-Based Approach to Cancer Prediction.

M Cabanillas-Carbonell… - International Journal of …, 2024 - search.ebscohost.com
Cancer ranks among the most lethal illnesses worldwide, and predicting its onset can be a
crucial factor in enhancing people's quality of life by taking preventive measures to improve …

ML-based early detection of lung cancer: an integrated and in-depth analytical framework

Y Sinjanka, V Kaur, UI Musa, K Kaur - Discover Artificial Intelligence, 2024 - Springer
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 …

Lung Cancer Risk Prediction Features Influence Model Based on Machine Learning Techniques

S Mondal, R Maity, C Rai, S Pramanik… - TENCON 2023-2023 …, 2023 - ieeexplore.ieee.org
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 …

Utilization of CNN and Ensemble Methods to Support Medical Practitioners in Categorizing Lung Cancer: A Research Paper

R Chitale, B Shah, S Bhalgat, A Pandey… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Detecting lung cancer early is critical for successful treatment, and it is essential to evaluate
CT scans effectively. To address this, we have developed a platform that aims to improve the …

Augmented Lung Cancer Prediction: Leveraging Convolutional Neural Networks and Grey Wolf Optimization Algorithm

TK Abuya, WC Waithera, CW Kipruto - OALib, 2024 - publish.sub7journal.com
With the rapid increase in population, the rate of diseases like cancer is also increasing.
Lung cancer is a leading cause of cancer-related deaths with a minimum survival rate; there …

random forest classifier for binary classification of lung

A Bhattacharjee, PS Cindy, R Murugan… - Proceedings of the …, 2024 - books.google.com
Lung cancer is the most common and dangerous cancer worldwide. An automatic detection
system is the need of the hour for early diagnosis. Machine learning classifiers often …

A Survey Based on Machine Learning Algorithm for Lungs Cancer Prediction

A Pathak, SK Dewangan, MK Sahu… - … for Innovations in …, 2023 - ieeexplore.ieee.org
Lung cancer is frequently the primary cause of death for people [1]. The overlapping of
cancerous cells makes early cancer detection more difficult. Time is a critical factor in …

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 …