Role of big data in enhancing lung cancer prediction and treatment

Published

25-04-2025

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.4.11

Keywords:

Lung Cancer, Big Data Analytics, Machine Learning, Early Detection, Predictive Modeling, Deep Learning

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Issue

Section

Research article

Authors

  • Ritu Nagila IFTM University Moradabad
  • Abhishek Kumar Mishra © The Scientific Temper. 2025 Received: 16/03/2025 Accepted: 9/04/2025 Published : 25/04/2025 Department of Computer Science and Engineering, IFTM University Moradabad, India.
  • Ashish Nagila Department of Computer Science and Engineering, IFTM University Moradabad, India.

Abstract

Lung cancer functions as one of the world's primary diseases which causes death because patients receive their diagnoses too late and have limited choices regarding treatment. The research examines big data functionality for lung cancer prediction through extensive evaluation of patient healthcare records and image data along with hereditary information to establish predictive models. Evaluation of deep learning and ensemble techniques as well as additional machine learning algorithms takes place to measure their accuracy rates and operational efficiency.

How to Cite

Nagila, R., Abhishek Kumar Mishra, & Ashish Nagila. (2025). Role of big data in enhancing lung cancer prediction and treatment. The Scientific Temper, 16(04), 4089–4094. https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.4.11

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