Computer ScienceScience & MathematicsEconomics & FinanceBusiness & ManagementPolitics & GovernmentHistoryPhilosophy

Data and Text Processing for Health and Life Sciences

by Francisco Couto

Data and Text Processing for Health and Life Sciences

Subscribe to new books via dBooks.org telegram channel

Join
DescriptionTable of ContentsDetailsHashtagsReport an issue

Book Description

This book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health and Life specialists face everyday with minimal software dependencies. The examples presented in the book show how simple command line tools can be used and combined to retrieve data and text from web resources, to filter and mine literature, and to explore the semantics encoded in biomedical ontologies. To store data this book relies on open standard text file formats, such as TSV, CSV, XML, and OWL, that can be open by any text editor or spreadsheet application.

The first two chapters, Introduction and Resources, provide a brief introduction to the shell scripting and describe popular data resources in Health and Life Sciences. The third chapter, Data Retrieval, starts by introducing a common data processing task that involves multiple data resources. Then, this chapter explains how to automate each step of that task by introducing the required commands line tools one by one. The fourth chapter, Text Processing, shows how to filter and analyze text by using simple string matching techniques and regular expressions. The last chapter, Semantic Processing, shows how XPath queries and shell scripting is able to process complex data, such as the graphs used to specify ontologies.

Besides being almost immutable for more than four decades and being available in most of our personal computers, shell scripting is relatively easy to learn by Health and Life specialists as a sequence of independent commands. Comprehending them is like conducting a new laboratory protocol by testing and understanding its procedural steps and variables, and combining their intermediate results. Thus, this book is particularly relevant to Health and Life specialists or students that want to easily learn how to process data and text, and which in return may facilitate and inspire them to acquire deeper bioinformatics skills in the future.

This open book is licensed under a Creative Commons License (CC BY). You can download Data and Text Processing for Health and Life Sciences ebook for free in PDF format (3.0 MB).

Table of Contents

Chapter 1
Introduction
 
Biomedical Data Repositories
 
Scientific Text
 
Amount of Text
 
Ambiguity and Contextualization
 
Biomedical Ontologies
 
Programming Skills
 
Why This Book?
 
How This Book Helps Health and Life Specialists?
 
What Is in the Book?
Chapter 2
Resources
 
Biomedical Text
 
Semantics
 
Further Reading
Chapter 3
Data Retrieval
 
Caffeine Example
 
Unix Shell
 
Web Identifiers
 
Data Retrieval
 
Data Extraction
 
Task Repetition
 
XML Processing
 
Text Retrieval
 
Further Reading
Chapter 4
Text Processing
 
Pattern Matching
 
Regular Expressions
 
Position
 
Tokenization
 
Entity Recognition
 
Pattern File
 
Relation Extraction
 
Further Reading
Chapter 5
Semantic Processing
 
Classes
 
URIs and Labels
 
Synonyms
 
Parent Classes
 
Ancestors
 
My Lexicon
 
Generic Lexicon
 
Performance
 
Entity Linking
 
Large Lexicons
 
Further Reading

Book Details

Title
Data and Text Processing for Health and Life Sciences
Subject
Medical
Publisher
Springer
Published
2019
Pages
107
Edition
1
Language
English
ISBN13
9783030138448
ISBN10
3030138445
ISBN13 Digital
9783030138455
ISBN10 Digital
3030138453
PDF Size
3.0 MB
License
CC BY

Book Hashtags

Related Books

Extended Working Life Policies
This volume addresses the current debate on extended working life policy by considering the influence of gender and health on the experiences of older workers. Bringing together an international team of scholars, it tackles issues as gender, health status and job/ occupational characteristics that structure the capacity and outcomes associated with...
Remote Sensing of Plant Biodiversity
This open volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ecology, and geography. The book provides a framework for how biodiversity can be detected and evaluated - focusing particularly on plants -...
Smart and Sustainable Planning for Cities and Regions
This open book offers a selection of research papers and case studies presented at the 3rd international conference "Smart and Sustainable Planning for Cities and Regions", held in December 2019 in Bolzano, Italy, and explores the concept of smart and sustainable planning, including top contributions from academics, policy makers, consult...
Clinical Text Mining
This book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial ch...
Sensor Technologies
Sensor Technologies: Healthcare, Wellness and Environmental Applications explores the key aspects of sensor technologies, covering wired, wireless, and discrete sensors for the specific application domains of healthcare, wellness and environmental sensing. It discusses the social, regulatory, and design considerations specific to these domains. ...
AiREAS: Sustainocracy for a Healthy City
This volume describes phase 3 of the AiREAS multidisciplinary cocreation effort to produce a Healthy City. Phase 1 referred to making visible the invisible from an air quality and human exposure perspective. Phase 2 studies air quality related to health and Phase 3 looks at air quality, health and lifestyle from the perspective of persuasion to inn...