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Medical Diagnosis of Cardiac Disease using Naïve Bayes Algorithm

-20% su kodu: BOOKS
45,94 
Įprasta kaina: 57,42 
-20% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-20% su kodu: BOOKS
45,94 
Įprasta kaina: 57,42 
-20% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-20% su kodu: BOOKS
2025-02-28 57.4200 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 

Knygos aprašymas

In recent days the health industry has collected vast amounts of patient data, which unfortunately is not produced in order to give some hidden information, and thus to make effective decisions, which are connected with the base of the patient's data and are subjected to data mining. This work has developed a Decision Support in Heart Disease Prediction System (HDPS) using data mining modelling techniques namely Naïve Bayes and K-means, which are one of the most popular techniques. Using of medical data such as age, sex, blood pressure, blood sugar levels, chest pain etc. we can predict the likelihood of the patient. Most hospitals today use decision-support systems, but to get the results of the disease are largely limited i.e., Determine based on gender, marital status and who have been treated for heart failure. Solutions are always made in a hospital based on intuition and experience of doctors, and not on the rich knowledge data that are hidden in the database. This process leads to undesirable biases, errors and unnecessary health care costs, which affects the quality of services provided to patients.This will help make the diagnostic process more objective and more reliable.

Informacija

Autorius: Domala Kishore Babu, Y. Mohana Roopa,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2018
Knygos puslapių skaičius: 56
ISBN-10: 6136524333
ISBN-13: 9786136524337
Formatas: 220 x 150 x 4 mm. Knyga minkštu viršeliu
Kalba: Anglų

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