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Cancer Intercept - Early Detection Strategies for Enhanced Survival Rates
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Author(s): Anshika Tyagi (Sharda University, Greater Noida, India)and Vishal Jain (Sharda University, Greater Noida, India)
Copyright: 2026
Pages: 26
Source title:
Enhancing Client, Family, and Community Health Management: Self, Society, State, Systems, and Spirituality
Source Author(s)/Editor(s): Minhaj A. Qidwai (Dean Health and Medical Sciences Al-Kawthar University Karachi Pakistan Faulty Member American Institute for Healthcare Quality)
DOI: 10.4018/979-8-3693-9092-4.ch006
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Abstract
Early detection of disease is important in healthcare not only for the hope that the patient might get cured, but also due to the low risk factor for conducting an operation. The current chapter will discuss some newly defined techniques and technologies that are changing the way early disease detection is done-from machine learning and wearable health monitoring devices to advanced medical imaging. Right application of newly given medical technology is making the concept of good patient recovery possible by coordinating machine learning with the medical field. Considering predictive algorithm in the identification of diseases with the use of large datasets for identifying the diseases through the help of machine learning and, with an upper hand of AI, finding proper cure along with experience from the doctors is allowing a patient to live more i.e. Better, faster recovery.
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