Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques

Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques

Cardiac disease prediction and detection are among the most difficult and important jobs encountered by medical practitioners. Heart disease can be caused by a range of factors, including a sedentary lifestyle, stress, alcohol, cigarette intake, and so on. The current prediction algorithms focus on...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Tyagi, Sapna (author)
مؤلفون آخرون:	Sirohi, Preeti (author), Maheshwari, Piyush (author)
منشور في:	2022
الموضوعات:	prediction , healthcare , regression , forecasting
الوصول للمادة أونلاين:	https://bspace.buid.ac.ae/handle/1234/3094 https://doi.org/10.1109/ICSPIS57063.2022.10002692.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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