International Clinical and Medical Case Reports Journal (ISSN: 2832-5788) | Volume 2, Issue 18 | Review Article | Open Access DOI
Tathagata Roy Chowdhury*
Sudipta Dey1, Tathagata Roy Chowdhury2*
1Scholar, Masters of Business Administration, Swami Vivekananda University, India
2Assistant Professor and Head of the Department, Department of Computer Science and Engineering, St Mary’s Technical Campus Kolkata, India
*Correspondence to: Tathagata Roy Chowdhury
Fulltext PDFAdvancing the frontier of colon cancer screening, this research pioneers a novel approach by introducing a personalized screening model tailored to individual patient profiles and genetic markers. Leveraging the power of Gradient Boosting, specifically XGBoost, our model integrates comprehensive patient data, encompassing lifestyle, genetic markers, and clinical information. Through meticulous feature engineering and ethical considerations, the model navigates the intricacies of colon cancer prediction, demonstrating an accuracy of 50.83% on a synthetic dataset. We delve into the impact of personalized screening, emphasizing the importance of interpretability and collaboration with medical professionals. Beyond conventional metrics, our study explores the nuances of precision, recall, F1 score, and ROC-AUC, providing a holistic assessment. Ethical dimensions, including patient privacy and informed consent, are central to our model's development. As we embark on refining this paradigm, the research underscores the imperative of authenticity in data, expert collaboration, and a commitment to enhancing healthcare outcomes. This pioneering work charts a course toward a future where predictive modeling revolutionizes colon cancer screening, offering personalized, accurate, and ethical insights into early detection.
Personalized Colon Cancer Screening; Predictive Modeling; Gradient Boosting; XGBoost; Individual Patient Profiles; Genetic Markers; Precision Medicine; Feature Engineering; Ethical Considerations; Medical Data Collaboration; Interpretability; Model Evaluation; Synthetic Dataset; Accuracy Assessment; Precision; Recall; F1 Score; ROC-AUC; Patient Privacy; Informed Consent; Healthcare Outcomes; Early Detection
Sudipta Dey, Tathagata Roy Chowdhury.Personalized Colon Cancer Screening: Tailoring Predictive Models to Individual Patient Profiles and Genetic Markers. Int Clinc Med Case Rep Jour. 2023;2(18):1-13.