CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION
Abstract & Details
Research Area
Computer Engineering
Keywords
Early Risk Assessment
Prompt Action
User-Friendly Interface
Cancer Risk Prediction Web App
Abstract
The Cancer Risk Prediction Web app is a trailblazing endeavor at the nexus of technology and healthcare. It leverages web-based solutions and machine learning's formidable powers to address one of the most urgent problems in contemporary medicine: the early detection of cancer. This initiative is the result of a steadfast dedication to enhancing healthcare outcomes and giving people the tools they need to proactively determine their cancer risk.
The unfortunate delay in cancer detection that plagues the existing healthcare system is the crucial issue at the center of our endeavor. All too frequently, people are diagnosed with cancer at an advanced stage, which drastically reduces the effectiveness of therapy and lessens the likelihood of recovery. Built on old paradigms, the current healthcare systems have struggled to provide easily navigable interfaces for risk assessment and prompt appointment scheduling with medical professionals, especially when dealing with high-risk situations that have been recognized.
This initiative is extremely important because it has the potential to completely change how we approach early detection as well as how we evaluate cancer risk. This program provides a glimmer of hope in a world where a delayed diagnosis frequently means the difference between life and death. We want to reduce the number of late-stage diagnosis by giving people the information and resources they need to proactively assess their cancer risk. This will likely improve healthcare outcomes and even save lives.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | SANJEEV KUMAR M | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | RAHUL KUMAR JHA | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 3 | RAAHUL P S | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 4 | SATHIS KUMAR K | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M, SANJEEV KUMAR, JHA, RAHUL KUMAR, S, RAAHUL P, & K, SATHIS KUMAR (2023). CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1911-1918.
MLA Style
M, SANJEEV KUMAR, et al. "CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1911-1918.
IEEE Style
SANJEEV KUMAR M, RAHUL KUMAR JHA, RAAHUL P S, and SATHIS KUMAR K, "CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1911-1918, 2023.
Vancouver Style
M SANJEEV KUMAR, JHA RAHUL KUMAR, S RAAHUL P, K SATHIS KUMAR. CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1911-1918.
Harvard Style
M, SANJEEV KUMAR, JHA, RAHUL KUMAR, S, RAAHUL P, & K, SATHIS KUMAR (2023) 'CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1911-1918.
Chicago Style
M, SANJEEV KUMAR, et al. "CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1911-1918.
Turabian Style
M, SANJEEV KUMAR, et al. "CANCER RISK PREDICTION AND MAIL APPOINTMENT BOOKING APPLICATION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1911-1918.
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