|
Showing 1 - 5 of
5 matches in All Departments
This book outlines the approach to comprehensive men's health
deployed at three of the most successful American men's health
centers. It demonstrates the ways in which multidisciplinary care
allows patients to easily access their doctors via coordination of
care, same day add-on visits, and streamlining of office logistics
such as sharing of charts, reports, and results. Guiding readers in
establishing an evidence-based, multidisciplinary approach to the
management of male patients of all ages, this volume shows how
prevention, rapid intervention, cost efficiency, and coordinated
care are at the forefront of a health center's care strategy. The
authors of this volume are thought leaders in the disciplines of
cardiology, gastroenterology, dermatology, psychiatry, and
preventative medicine. Design and Implementation of the Modern
Men's Health Center: A Multidisciplinary Approach enables
urologists, medical subspecialists, and surgical subspecialists to
both manage basic patient issues and also to understand how
multidisciplinary care enables the success of a men's health
center.
A Simple, Non-Technical Exposition Of The Principles Underlying
Weight Control And Correct Eating.
A Markov Decision Process (MDP) is a natural framework for
formulating sequential decision-making problems under uncertainty.
In recent years, researchers have greatly advanced algorithms for
learning and acting in MDPs. This book reviews such algorithms,
beginning with well-known dynamic programming methods for solving
MDPs such as policy iteration and value iteration, then describes
approximate dynamic programming methods such as trajectory based
value iteration, and finally moves to reinforcement learning
methods such as Q-Learning, SARSA, and least-squares policy
iteration. It describes algorithms in a unified framework, giving
pseudocode together with memory and iteration complexity analysis
for each. Empirical evaluations of these techniques, with four
representations across four domains, provide insight into how these
algorithms perform with various feature sets in terms of running
time and performance. This tutorial provides practical guidance for
researchers seeking to extend DP and RL techniques to larger
domains through linear value function approximation. The practical
algorithms and empirical successes outlined also form a guide for
practitioners trying to weigh computational costs, accuracy
requirements, and representational concerns. Decision making in
large domains will always be challenging, but with the tools
presented here this challenge is not insurmountable.
A Simple, Non-Technical Exposition Of The Principles Underlying
Weight Control And Correct Eating.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|