Lung Cancer Prediction from Text Datasets Using Machine Learning

Lung Cancer Prediction from Text Datasets Using Machine Learning

Registration ID: IJNRD_194953

Published ID: IJNRD2305364

DOI: Click Here to Get

Suraj Rastogi , Saurabh Singh , Shivam Singh , Ujjwal Kumar Singh

Lung cancer is the leading cause of cancer. related death in this generation and is expected to remain so in the future. Lung cancer treatment is possible if the symptoms of the disease are caught early. The design model of cancer treatment can be created using current advances in intelligence in inclusion without affecting the environment. It saves time and money as it minimizes the waste of resources and the work required to complete the book's work.Use the machine learning.based support vector machine (SVM) to improve the detection process of pulmonary clinical data. Use the SVM classifier to classify cancer patients based on their symptoms while adding patterns using the Python programming language. The performance of our SVM model was evaluated according to various variables. Multiple cancer databases from the UC Irvine library were used to test the model. Thanks to the acceptance of this research, smart cities will be able to provide better health care to their citizens. Cancer patients can access real treatment at a good price, anywhere, anytime with minimal effort and slowness. The proposed model is compared with existing SVM and SMOTE methods. Compared to the current system, the plan achieves 98.8% accuracy

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"Lung Cancer Prediction from Text Datasets Using Machine Learning ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d502-d508, May-2023, Available :https://ijnrd.org/papers/IJNRD2305364.pdf

Volume 8 Issue 5, May-2023

Pages : d502-d508

Paper Reg. ID: IJNRD_194953

Published Paper Id: IJNRD2305364

Downloads: 000121185

Research Area: Computer Engineering 

Country: Delhi, Delhi, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305364.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305364

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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