Name: Novel Disease Prediction System Using Hybrid Deep Learning Techniques (en Inglés)
SKU: 59034415
Price: 99.47 USD
Availability: InStock
Author: S, Sandhiya ; U, Palani
ISBN: 9786206161769

portada Novel Disease Prediction System Using Hybrid Deep Learning Techniques (en Inglés)

Novel Disease Prediction System Using Hybrid Deep Learning Techniques (en Inglés)

Formato

Libro Físico

Autor

Sandhiya S

Palani U

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

164

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x1 cm

Peso

0.25 kg.

ISBN13

9786206161769

Categorías

Tecnología de la información: cuestiones generales

Novel Disease Prediction System Using Hybrid Deep Learning Techniques (en Inglés)

Sandhiya S (Autor) · Palani U (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Novel Disease Prediction System Using Hybrid Deep Learning Techniques (en Inglés)"

This Book has been carried out through three different models with a different combination of feature selection and deep learning techniques. The first model proposed the combination of the new Enhanced Grey-Wolf Optimization-based Feature Selection Algorithm (EGWO-FSA) and Deep Belief Network (DBN) for diagnosing heart, diabetes, and cancer disease. The second model proposed on disease prediction system which is developed by using the novel Genetic Binary Cuckoo Optimization Algorithm (GBCOA) and new Convolutional-Recurrent Neural Network (C-RNN) for identifying the heart, cancer, and diabetic diseases. The third technique implements a novel disease prediction system that has been developed by using the new Incremental Feature Selection Algorithm (IFSA) and novel Convolutional Neural Network with Temporal features (T-CNN) for predicting heart, diabetic, and cancer diseases., The proposed techniques are evaluated by conducting various experiments and achieved better performance in the proposed disease prediction system than the existing systems in terms of prediction accuracy and computation time.