Sandhya Jain – författare
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7 produkter
7 produkter
Inbunden, Engelska, 2002
1 678 kr
Skickas inom 10-15 vardagar
Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.
E-bok
PDF, Engelska, 20131 977 kr
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Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.
Del 96 - Studies in Fuzziness and Soft Computing
Computational Intelligence Processing in Medical Diagnosis
Häftad, Engelska, 2010
1 630 kr
Skickas inom 10-15 vardagar
Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.
Häftad, Engelska, 2018
251 kr
Skickas inom 5-8 vardagar
Progestogens are a class of steroid hormones that bind to and activate the progesterone receptor.This book is a guide to the use of progestogens for clinicians.Beginning with an overview of structure, biochemistry and classification, the following chapters discuss methods of administration, pharmacokinetics, metabolism and the physiological actions of progesterone.The remaining sections of the book cover clinical usage guidelines for progestogens, their role in contraception, side effects and contraindications.The book concludes with a chapter offering guidance on prescription writing and detailed references.Key pointsGuide to progestogens for obstetricians and gynaecologistsProvides step by step detail on structure, classification, and pharmacokineticsIncludes clinical usage guidelines, side effects and contraindicationsFeatures chapter on prescription writing
Häftad, Engelska, 2024
502 kr
Skickas inom 11-20 vardagar
Inbunden, Engelska, 2020
776 kr
Skickas inom 5-8 vardagar
Del 39 - Series In Machine Perception And Artificial Intelligence
Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis
Inbunden, Engelska, 2000
1 737 kr
Tillfälligt slut
The main aim of this book is to present a sample of recent research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages — such as adaptation, fault tolerance, learning and human-like behavior — over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis.This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA.