Könyv Depression Prediction Using a Soft Computing Approach Victor Ekong

Depression Prediction Using a Soft Computing Approach

Szerző: Victor Ekong
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
25 092 Ft
Depression is a psychological mental disorder that can cause serious health challenges to individual...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2016
oldal
284
EAN
9783659814631
Enbook ID
12821582
Súly
439
Méretek
150 x 220 x 18

Teljes leírás

Depression is a psychological mental disorder that can cause serious health challenges to individuals if they are diagnosed, misdiagnosed and untreated. The debilitating effect of the disease reduces the quality of life of individuals hence there is much emphasis on early and correct diagnosis of the disease. In this book, a detailed study was undertaking to explore the types of Depression, their causes and treatments. Artificial Intelligence and Soft computing techniques are also explored as an alternative approach in providing clinicians a decision support tool for the diagnosis of the disease. Chapter One provides a theoretical background for the study. Chapter Two provides a detailed review of decision support systems in medicine, Artificial neural networks (ANN), Fuzzy logic (FL), Neuro-Fuzzy, Case based reasoning (CBR), Depression disease and programming tools for developing the software solutions. Chapter Three presents the design and development of a Neuro-fuzzy case based reasoning expert system for depression prediction. Chapter Four shows the implementation framework for the clinical decision support system. Chapter Five concludes the study with findings/further work.

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