Role of big data in enhancing lung cancer prediction and treatment
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.4.11Keywords:
Lung Cancer, Big Data Analytics, Machine Learning, Early Detection, Predictive Modeling, Deep LearningDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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.Abstract
How to Cite
Downloads
Similar Articles
- S. Munawara Banu, M. Mohamed Surputheen, M. Rajakumar, Bio-Inspired and Machine Learning-Driven Multipath Routing Protocol for MANETs Using Predictive Link Analytics , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- J. Fathima Fouzia, M. Mohamed Surputheen, M. Rajakumar, A Unified Consistency-Calibrated Boundary-Aware Framework for Generalizable Skin Cancer Detection , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- S V Arulvani, Dr. C. Jayanthi, Logistic Elitist Liquid Neural Network For Student Dropout Prediction , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Vaishali Yeole, Rushikesh Yeole, Pradheep Manisekaran, Analysis and prediction of stomach cancer using machine learning , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Sathya R., Balamurugan P, Classification of glaucoma in retinal fundus images using integrated YOLO-V8 and deep CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- A. Basheer Ahamed, M. Mohamed Surputheen, M. Rajakumar, Quantitative transfer learning- based students sports interest prediction using deep spectral multi-perceptron neural network , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Suprabha Amit Kshatriya, Jaymin K Bhalani, Fire and smoke detection with high accuracy using YOLOv5 , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Advancements in image quality assessment: a comparative study of image processing and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Dileep Pulugu, Shaik K. Ahamed, Senthil Vadivu, Nisarg Gandhewar, U D Prasan, S. Koteswari, Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

