Maqola

Lung Cancer Prediction Using the Algorithms for Calculating Estimates

Nurmukhammad AlimkulovDepartment of Macroeconomic analysis and forecasting, Andijan State University, UzbekistanShavkat IbragimovRadiotherapy Department, Republican Specialized Scientific Practical Medical Center of Oncology and Radiology, UzbekistanMirzaakbar HudayberdievDepartment of Information Technology Software, Tashkent University of Information Technologies, UzbekistanShokhbozbek AdkhmajonovDepartment of Digital Economy and IT, Tashkent State University of Economics, Uzbekistan

2023en

ABI

Annotatsiya

Lung cancer has been and remains the leading cause of cancer-related death worldwide. Early detection and diagnosis of lung cancer significantly improves the survival chances of patients, it has been regularly emphasized by researchers. Machine learning algorithms are increasingly used in the medical field to detect lung cancer, but the low interpretability of these models is a significant problem. The article proposes an approach for early detection of lung cancer using machine learning algorithms through the algorithms for calculating estimates. Data from the Kaggle platform was used as a dataset. The developed program achieved 93% accuracy in determining the quality function.

Mavzular

Radiomics and Machine Learning in Medical Imaging AI in cancer detection Artificial Intelligence in Healthcare

Identifikatorlar

DOI: 10.1145/3644713.3644781

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