International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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Machine Learning and AI in Cancer Prognosis Prediction and Treatment Selection
| Author(s) | Ms. Dipali Dnyanadev Tagad, Ms. Ashwini Sampat Babar, Ms. Akshada Ankush Jagtap |
|---|---|
| Country | India |
| Abstract | This project proposes a Machine Learning and AI framework to improve cancer care by predicting patient prognosis (survival, recurrence) and recommending personalized treatment plans. It achieves high accuracy by analyzing clinical and genomic data using algorithms like Random Forest and Neural Networks. |
| Field | Computer |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-11-07 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i4.9309 |
| Short DOI | https://doi.org/g99qkg |
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IJSAT DOI prefix is
10.71097/IJSAT
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