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
- D. Padma Prabha, C. Victoria Priscilla, A combined framework based on LSTM autoencoder and XGBoost with adaptive threshold classification for credit card fraud detection , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Nisha Patil, Archana Bhise, Rajesh K. Tiwari, Fusion deep learning with pre-post harvest quality management of grapes within the realm of supply chain management , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Raja S, Nagarajan L., Hybridization of bio-inspired algorithms with machine learning models for predicting the risk of type 2 diabetes mellitus , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Aruljothi Rajasekaran, Jemima Priyadarsini R., ECDS: Enhanced Cloud Data Security Technique to Protect Data Being Stored in Cloud Infrastructure , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Sabeerath K, Manikandasaran S. Sundaram, ESPoW: Efficient and secured proof of ownership method to enable authentic deduplicated data access in public cloud storage , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Merlin Sofia S, D. Ravindran, G. Arockia Sahaya Sheela, Clean Balance-Ensemble CHD: A Balanced Ensemble Learning Framework for Accurate Coronary Heart Disease Prediction , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Swetha Rajkumar, Jayaprasanth Devakumar, LSTM based data driven fault detection and isolation in small modular reactors , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Manisha Anil Vhora, Vidya Bhandwalkar, Prashant Mangesh Rege, AI-driven HR analytics: Enhancing decision-making in workforce planning , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Muhammed Jouhar K. K., K. Aravinthan, A bigdata analytics method for social media behavioral analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- B. Kalpana, P. Krishnamoorthy, S. Kanageswari, Anitha J. Albert, Machine learning approaches for predicting species interactions in dynamic ecosystems , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.

