Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research

Linda Miner, Pat Bolding, Joseph Hilbe, Mitchell Goldstein, Thomas Hill, Robert Nisbet, Nephi Walton, Gary Miner

  • 出版商: Academic Press
  • 出版日期: 2016-08-19
  • 售價: $4,950
  • 貴賓價: 9.5$4,703
  • 語言: 英文
  • 頁數: 1110
  • 裝訂: Paperback
  • ISBN: 0128100621
  • ISBN-13: 9780128100622
  • 相關分類: Machine Learning
  • 立即出貨 (庫存=1)

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商品描述

With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner. Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.

  • Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research
  • Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations
  • Demonstrates methods to help sort through data to make better observations and allow you to make better predictions

商品描述(中文翻譯)

隨著電子病歷的出現多年以及電腦能力的增強,我們的醫療系統正面臨著日益增長的大量數據。這些數據不僅因病人數量而增長,我們存儲的數據類型也在呈指數級增長。《實用預測分析和醫學決策系統》提供了研究工具,用於分析這些大量數據,並解決一些最迫切的問題和挑戰,其中數據完整性受到損害:病人安全、病人溝通和病人信息。通過使用預測分析模型和應用程序,本書是一個寶貴的資源,可以預測更準確的結果,以幫助在醫療保健和醫療行業中提高質量護理的成本效益最大化。《實用預測分析和醫學決策系統》為初學者提供了預測分析的基礎知識,並專注於醫療保健和醫療系統的一般哲學和活動。它解釋了為什麼預測模型很重要,以及如何應用於預測分析過程中,以解決真實的行業問題。研究人員需要這個寶貴的資源來提高數據分析能力並做出更準確和具有成本效益的決策。

- 包括預測分析的模型和應用,解釋了它們在醫療保健和醫學研究中的重要性以及如何使用
- 提供現實世界的逐步教程,幫助初學者理解預測分析過程的工作原理並成功進行計算
- 展示了幫助整理數據以進行更好觀察並做出更好預測的方法