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An Efficient Techniques For Disease Prediction From Medical Data Using Data Mining And Machine Learning | IEEE Conference Publication | IEEE Xplore

An Efficient Techniques For Disease Prediction From Medical Data Using Data Mining And Machine Learning


Abstract:

Individuals are susceptible to numerous ailments in today’s global setting, with people living highly automated lives under tremendous job pressure, both at home and at w...Show More

Abstract:

Individuals are susceptible to numerous ailments in today’s global setting, with people living highly automated lives under tremendous job pressure, both at home and at work. Such disorders have recently been on the rise at an alarming pace. As a result, the healthcare business must assume a prominent position soon, accountable for people’s health, a better society, and a successful country at large. Healthcare prices are rising as the demand for health amenities grows. Healthcare facilities with improved detection, diagnostics, and treatment procedures are desperately needed. With growing digitization and computing techniques in place, a massive amount of data is being generated and used for diagnostic and detection approaches. This data might be used to obtain data for anticipating disease illnesses, commencing preventative measures, and improving treatment procedures long before the diseases progressed. Powerful computing technologies must be used to build the finest intelligence of forecasting and decision-making abilities evaluated by an expert. Modern data mining methods are used to the obtained to analyze such characteristics that may reveal crucial and critical indications regarding the existence and progression of the medical condition.
Date of Conference: 14-16 December 2022
Date Added to IEEE Xplore: 22 March 2023
ISBN Information:
Conference Location: Uttar Pradesh, India

References

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