Name: Diabetes Detection Using Data Mining Techniques (en Inglés)
Price: 90570.00 CLP
Availability: InStock
Author: Vishwamitra, L. K. ; Vaidya, Vivek ; Sharma, Arvind Kumar
ISBN: 9786205508510

portada Diabetes Detection Using Data Mining Techniques (en Inglés)

Formato

Libro Físico

Autor

Vivek Vaidya

L. K. Vishwamitra

Arvind Kumar Sharma

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

196

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 1.1 cm

Peso

0.29 kg.

ISBN13

9786205508510

Categorías

Gestión empresarial

Diabetes Detection Using Data Mining Techniques (en Inglés)

Vivek Vaidya (Autor) · L. K. Vishwamitra (Autor) · Arvind Kumar Sharma (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Diabetes Detection Using Data Mining Techniques (en Inglés)"

Diabetes mellitus is seen as a disease which affects highly social, human and financial expenses for a nation. One of the most important reasons for creating machine learning systems is that in many areas experience is insufficient, and the codification of the knowledge that describes it is limited, fragmented and, therefore, incomplete. Artificial intelligence has made significant advances in fields such as education, agriculture and healthcare, where it can detect and treat diseases like cancer and diabetes long before traditional methods.The first phase of this study will present a comparative neural network analysis and will implement a neural network classifier optimized by Firefly algorithm to predict diabetes diagnosis based on factors mentioned in patients.The second phase of this work will develop a multi-scale convolutional neural network (MCNN) model for the early diagnosis of diabetes mellitus. The detection technique is based on a proposed tanning model by analyzing data from diabetic and non-diabetic patients from the PIMA Indian database.