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
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Sindhu S, L. Arockiam, DRMF: Optimizing machine learning accuracy in IoT crop recommendation with domain rules and MissForest imputation , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- D. Jayadurga, A. Chandrabose, Distribution of virtual machines with SVM-FFDM approach in cloud computing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Ramesh Babu Durai C, D. Madhivadhani, A. Sumathi, Lily Saron Grace, Graph neural networks for modeling ecological networks and food webs , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- A. Sandanasamy, P. Joseph Charles, Distributed SDN control for IoT networks: A federated meta reinforcement learning solution for load balancing , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Nitin J. Wange, Sachin V. Chaudhari, Koteswararao Seelam, S. Koteswari, T. Ravichandran, Balamurugan Manivannan, Algorithmic material selection for wearable medical devices a genetic algorithm-based framework with multiscale modeling , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Bajeesh Balakrishnan, Swetha A. Parivara, E-HRM: Learning approaches, applications and the role of artificial intelligence , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- A. Rukmani, C. Jayanthi, Trust and security in wireless sensor networks: A literature review of approaches for malicious node detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- G. Deena, K. Raja, M. Azhagiri, W.A. Breen, S. Prema, Application of support vector classifier for mango leaf disease classification , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Chaitanya A. Kulkarni, Sayali Wadhokar, Om C. Wadhokar, Medhavi Joshi, Tushar Palekar, The intersection of cervical cancer treatment and physiotherapy: Current insights and future directions , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 11 12 13 14 15 16 17 18 19 20 > >>
You may also start an advanced similarity search for this article.

