Neuro-Oncology Reimagined: Tailored Prognosis for Brain Tumors Using Adaptive Machine Learning
Adaptive ML with Random Forest, SMOTE, and algorithmic fairness achieves 98.36% brain tumor prognosis accuracy, integrating multi-omics data with bias mitigation across diverse populations.
About the author
This paper is authored by Vanshaj Awasthi, a Full Stack Developer based in Pune, Maharashtra, India, with 17+ peer-reviewed publications across IEEE and Springer in medical AI and deep learning, and two IEEE Best Paper Awards. Bachelor of Technology - Computer Science, Amity University Mumbai.
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