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Depression Prediction Using a Soft Computing Approach

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Depression Prediction Using a Soft Computing Approach Victor Ekong
Koda Libristo: 12821582
Založba LAP Lambert Academic Publishing, november 2015
Depression is a psychological mental disorder that can cause serious health challenges to individual... Celoten opis
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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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O knjigi

Polni naslov Depression Prediction Using a Soft Computing Approach
Avtor Victor Ekong
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2016
Število strani 284
EAN 9783659814631
Koda Libristo 12821582
Teža 439
Mere 150 x 220 x 18
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