Predictive Analytics in Cancer Care: Leveraging Machine Learning and Big Data for Early Detection and Treatment Optimization
DOI registered with Crossref
https://doi.org/10.37547/ijmsphr/Volume06Issue10-05
Keywords
Cancer care
Predictive analytics
Machine learning
Early detection
Abstract
Cancer is a worldwide epidemic that has increasingly caused 19.3 million new cancer cases and almost 10 million cancer-related deaths globally in 2020 at an unprecedented burden on healthcare systems. The existing methods of diagnosis and treatment are often associated with late diagnoses and ineffective results, which causes the necessity to develop new, evidence-based approaches as soon as possible. Machine learning and big data can provide radical opportunities in predictive analytics, which will optimize early detection and treatment of cancer. The paper explores the combination of ML models, such as logistic regression, random forests, support vectors machines and deep neural networks, with various big data sources, including electronic health records, genomic sequencing, medical imaging, and wearable devices. The research uses highly sophisticated analytics tools, including Python, Power BI, and Tableau, to show how predictive models can be used to enhance the accuracy of diagnostic tests and save money and individualized treatment plans. The methodology uses secondary datasets (e.g., SEER, TCGA) to develop and validate the model, and the performance is evaluated using the metrics of sensitivity, specificity, and ROC-AUC. The results indicate that predictive analytics does not only increase the rates of early detection of various types of cancer that include breast, lung, and colorectal but also improves clinical decision-making by establishing personalized treatment routes. This work has the novelty of being both algorithmic performance-focused and big data integration-focused and visualized in a clinician-friendly manner. Finally, the research contributes to the discussion on predictive oncology because it identifies the potential of the existing strategies and clarifies their restrictions, as well as providing evidence-based suggestions on how healthcare organizations, policy makers and clinicians can implement predictive analytics into their cancer care delivery mechanisms.
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Yaseen Shareef Mohammed, Dhiraj Kumar Akula, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Impact of Artificial Intelligence on Information Systems: Opportunities and Challenges. The American Journalof Engineering and Technology, 7(8), 151–176. https://doi.org/10.37547/tajet/Volume07Issue08-15
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Yeasin Arafat, Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Gazi Mohammad Moinul Haque, Mahzabin Binte Rahman, & Asif Syed. (2025). Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS. The American Journal of Engineering and Technology, 7(8), 177–201. https://doi.org/10.37547/tajet/Volume07Issue08-16
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Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Role of Information Systems in Enhancing Strategic Decision Making: A Review and Future Directions. The American Journal of Management and Economics Innovations, 7(8), 80–105. https://doi.org/10.37547/tajmei/Volume07Issue08-07
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Dhiraj Kumar Akula, Kazi Sanwarul Azim, Yaseen Shareef Mohammed, Asif Syed, & Gazi Mohammad Moinul Haque. (2025). Enterprise Architecture: Enabler of Organizational Agility and Digital Transformation. The American Journalof Management and Economics Innovations, 7(8), 54–79. https://doi.org/10.37547/tajmei/Volume07Issue08-06
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Suresh Shivram Panchal, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Yogesh Sharad Ahirrao. (2025). Cyber Risk And Business Resilience: A Financial Perspective On IT Security Investment Decisions. The American Journal of Engineering and Technology, 7(09), 23–48.https://doi.org/10.37547/tajet/Volume07Issue09-04
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Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Fintech Innovation And IT Infrastructure: Business Implications For Financial Inclusion And Digital Payment Systems. The American Journal of Engineering and Technology, 7(09), 49–73. https://doi.org/10.37547/tajet/Volume07Issue09-05.
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Asif Syed, Iqbal Ansari, Kiran Bhujel, Yogesh Sharad Ahirrao, Suresh Shivram Panchal, & Yaseen Shareef Mohammed. (2025). Blockchain Integration In Business Finance: Enhancing Transparency, Efficiency, And Trust In Financial Ecosystems. The American Journal of Engineering and Technology, 7(09), 74–99. https://doi.org/10.37547/tajet/Volume07Issue09-06.
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Kiran Bhujel, Iqbal Ansari, Kazi Sanwarul Azim, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Digital Transformation In Corporate Finance: The Strategic Role Of IT In Driving Business Value. The American Journal of Engineering and Technology, 7(09), 100–125. https://doi.org/10.37547/tajet/Volume07Issue09-07.
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Yogesh Sharad Ahirrao, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Suresh Shivram Panchal. (2025). AI-Powered Financial Strategy: Transforming Business Decision-Making Through Predictive Analytics. The American Journal of Engineering and Technology, 7(09), 126–151. https://doi.org/10.37547/tajet/Volume07Issue09-08.
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Keya Karabi Roy, Maham Saeed, Mahzabin Binte Rahman, Kami Yangzen Lama, & Mustafa Abdullah Azzawi. (2025). Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective. The American Journal of Applied Sciences, 7(8), 74–93. https://doi.org/10.37547/tajas/Volume07Issue08-07
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Maham Saeed. (2025). Data-Driven Healthcare: The Role of Business Intelligence Tools in Optimizing Clinical and Operational Performance. The American Journal of Applied Sciences, 7(8), 50–73. https://doi.org/10.37547/tajas/Volume07Issue08-06
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Kazi Sanwarul Azim, Maham Saeed, Keya Karabi Roy, & Kami Yangzen Lama. (2025). Digital transformation in hospitals: evaluating the ROI of IT investments in health systems. The American Journal of Applied Sciences, 7(8), 94–116. https://doi.org/10.37547/tajas/Volume07Issue08-08
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Kami Yangzen Lama, Maham Saeed, Keya Karabi Roy, & MD Abutaher Dewan. (2025). Cybersecurityac Strategies in Healthcare It Infrastructure: Balancing Innovation and Risk Management. The American Journal of Engineering and Technology, a7(8), 202–225. https://doi.org/10.37547/tajet/Volume07Issue08-17
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Maham Saeed, Keya Karabi Roy, Kami Yangzen Lama, Mustafa Abdullah Azzawi, & Yeasin Arafat. (2025). IOTa and Wearable Technology in Patient Monitoring: Business Analyticacs Applications for Real-Time Health Management. The American Journal of Engineering and Technology, 7(8), 226–246. https://doi.org/10.37547/tajet/Volume07Issue08-18
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Bhujel, K., Bulbul, S., Rafique, T., Majeed, A. A., & Maryam, D. S. (2024). Economic Inequality And Wealth Distribution. Educational Administration: Theory and Practice, 30(11), 2109–2118. https://doi.org/10.53555/kuey.v30i11.10294
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Groenewald, D. E. S., Bhujel, K., Bilal, M. S., Rafique, T., Mahmood, D. S., Ijaz, A., Kantharia, D. F. A., & Groenewald, D. C. A. (2024). Enhancing Organizational performance through competency-based human resource management: A novel approach to performance evaluation. Educational Administration: Theory and Practice, 30(8), 284–290. https://doi.org/10.53555/kuey.v30i8.7250