Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby (Hardcover)

Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clinical and research datasets. The common computational tasks of medical informatics are accessible to anyone willing to learn the basics.

Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby demonstrates that biomedical professionals with fundamental programming knowledge can master any kind of data collection. Providing you with access to data, nomenclatures, and programming scripts and languages that are all free and publicly available, this book —

• Describes the structure of data sources used, with instructions for downloading
• Includes a clearly written explanation of each algorithm
• Offers equivalent scripts in Perl, Python, and Ruby, for each algorithm
• Shows how to write short, quickly learned scripts, using a minimal selection of commands
• Teaches basic informatics methods for retrieving, organizing, merging, and analyzing data sources
• Provides case studies that detail the kinds of questions that biomedical scientists can ask and answer with public data and an open source programming language

Requiring no more than a working knowledge of Perl, Python, or Ruby, Methods in Medical Informatics will have you writing powerful programs in just a few minutes. Within its chapters, you will find descriptions of the basic methods and implementations needed to complete many of the projects you will encounter in your biomedical career.

醫療保健工作者常常被誤導以為醫學資訊學是一個只能由專業程式設計師團隊掌握的複雜領域。事實並非如此。只需使用幾十個簡單的演算法，並使用開源程式語言輕鬆實現，您就可以充分利用臨床和研究數據中包含的醫學信息。醫學資訊學的常見計算任務對於願意學習基礎知識的任何人都是可接觸的。

《醫學資訊學方法：Perl、Python和Ruby的醫療保健程式設計基礎》證明了具備基本程式設計知識的生物醫學專業人員可以掌握任何類型的數據收集。本書為您提供了免費且公開可用的數據、命名法和程式設計腳本和語言，並具備以下特點：

- 描述了使用的數據來源結構，並提供下載指南
- 對每個演算法進行了清晰的解釋
- 為每個演算法提供了Perl、Python和Ruby的等效腳本
- 展示如何使用最少的命令編寫簡短且易學的腳本
- 教授檢索、組織、合併和分析數據來源的基本資訊學方法
- 提供案例研究，詳細介紹生物醫學科學家可以使用公共數據和開源程式設計語言提出和回答的問題

《醫學資訊學方法》只需要對Perl、Python或Ruby有基本的工作知識，您就可以在短短幾分鐘內撰寫強大的程式。在本書的章節中，您將找到完成生物醫學職業生涯中遇到的許多項目所需的基本方法和實現的描述。