Tracing the Drainage Divide: The Future Challenge for Predictive Medicine

Enzo Grossi
Medical Department, Bracco SpA Milan, Italy

Series: Mathematics Research Developments, Medicine and Biology Research Developments
BISAC: MED000000

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Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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If the principal aim of predictive medicine is to predict the future direction of a person’s life in terms of health on the basis of available data, then in this metaphor the problem is to predict what direction the river will take, given its spring location in a particular country and the environmental data available. This book discusses how the use of newer mathematical approaches like those inherent to artificial neural networks environment offer the chance to trace the health–disease drainage divide. (Imprint: Nova)

ABSTRACT

INTRODUCTION

THE DRAINAGE DIVIDE METAPHOR IN MEDICAL SETTINGS

GENETIC PREDISPOSITION AND RISK FACTOR PREDICTIVE VALUE

PREDICTING THE RIVER PATH

UNDERSTANDING THE GOVERNING RULES AND UNIVERSAL LINES THROUGH ARTIFICIAL NEURAL NETWORKS

THE PARADIGM SHIFTS OF ARTIFICIAL NEURAL NERTWORKS IN PREDICTIVE MEDICINE

COMPETING INTERESTS

REFERENCES

INDEX

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