Books by Jules J. Berman, covers

Methods in Medical Informatics
Fundamentals of Healthcare Programming
in Perl, Python,and Ruby

by Jules Berman

Methods in Medical Informatics, by Jules Berman Related links

Table of Contents

PART I FUNDAMENTAL ALGORITHMS AND METHODS OF 
MEDICAL INFORMATICS

Chapter 1 Parsing and Transforming Text Files
Peeking into Large Files
Paging through Large Text Files
Extracting Lines that Match a Regular Expression
Changing Every File in a Subdirectory
Counting the Words in a File
Making a Word List with Occurrence Tally
Using Printf Formatting Style

Chapter 2 Utility Scripts
Random Numbers
Converting Non-ASCII to Base64 ASCII
Creating a Universally Unique Identifier
Splitting Text into Sentences
One-Way Hash on a Name
One-Way Hash on a File
A Prime Number Generator

Chapter 3 Viewing and Modifying Images
Viewing a JPEG Image
Converting between Image Formats
Batch Conversions
Drawing a Graph from List Data
Drawing an Image Mashup

Chapter 4 Indexing Text
ZIPF Distribution of a Text File
Preparing a Concordance
Extracting Phrases
Preparing an Index
Comparing Texts Using Similarity Scores

PART II MEDICAL DATA RESOURCES

Chapter 5 The National Library of Medicine's 
          Medical Subject Headings (MeSH )
Determining the Hierarchical Lineage for MeSH Terms
Creating a MeSH Database
Reading the MeSH Database
Creating an SQLite Database for MeSH
Reading the SQLite MeSH Database

Chapter 6 The International Classification of Diseases
Creating the ICD Dictionary
Building the ICD-O (Oncology) Dictionary

Chapter 7 SEER: The Cancer Surveillance, Epidemiology, and End Results Program
Parsing the SEER Data Files
Finding the Occurrences of All Cancers in the SEER Data Files
Finding the Age Distributions of the Cancers in the 
SEER Data Files

Chapter 8 OMIM: The Online Mendelian Inheritance in Man
Collecting the OMIM Entry Terms
Finding Inherited Cancer Conditions

Chapter 9 PubMed
Building a Large Text Corpus of Biomedical Information
Creating a List of Doublets from a PubMed Corpus
Downloading Gene Synonyms from PubMed
Downloading Protein Synonyms from PubMed

Chapter 10 Taxonomy
Finding a Taxonomic Hierarchy
Finding the Restricted Classes of Human Infectious Pathogens

Chapter 11 Developmental Lineage Classification and Taxonomy of Neoplasms
Building the Doublet Hash
Scanning the Literature for Candidate Terms
Adding Terms to the Neoplasm Classification
Determining the Lineage of Every Neoplasm Concept

Chapter 12 U.S. Census Files
Total Population of the United States
Stratified Distribution for the U.S. Census
Adjusting for Age

Chapter 13 Centers for Disease Control and Prevention Mortality Files
Death Certificate Data
Obtaining the CDC Data Files
How Death Certificates Are Represented in Data Records
Ranking, by Number of Occurrences, Every Condition in the CDC Mortality Files

PART III PRIMARY TASKS OF MEDICAL INFORMATICS

Chapter 14 Autocoding
A Neoplasm Autocoder
Recoding

Chapter 15 Text Scrubber for Deidentifyin g Confidential Text

Chapter 16 Web Pages and CGI Scripts
Grabbing Web Pages
CGI Script for Searching the Neoplasm Classification

Chapter 17 Image Annotation
Inserting a Header Comment
Extracting the Header Comment in a JPEG Image File
Inserting IPTC Annotations
Extracting Comment, EXIF, and IPTC Annotations
Dealing with DICOM
Finding DICOM Images
DICOM-to-JPEG Conversion

Chapter 18 Describing Data with Data, Using XML
Parsing XML
Resource Description Framework (RDF)
Dublin Core Metadata
Insert an RDF Document into an Image File
Insert an Image File into an RDF Document
RDF Schema
Visualizing an RDF Schema with GraphViz
Obtaining GraphViz
Converting a Data Structure to GraphViz

PART IV MEDICAL DISCOVERY

Chapter 19 Case Study: Emphysema Rates

Chapter 20 Case Study: Cancer Occurrence Rates

Chapter 21 Case Study: Germ Cell Tumor Rates across Ethnicities

Chapter 22 Case Study: Ranking the Death-Certifying Process, by State

Chapter 23 Case Study: Data Mashups for Epidemics
Tally of Coccidioidomycosis Cases by State
Creating the Map Mashup

Chapter 24 Case Study: Sickle Cell Rates

Chapter 25 Case Study: Site-Specific Tumor Biology
Anatomic Origins of Mesotheliomas
Mesothelioma Records in the SEER Data Sets
Graphic Representation

Chapter 26 Case Study: Bimodal Tumors

Chapter 27 Case Study: The Age of Occurrence of Precancers

Epilogue for Healthcare Professionals and Medical Scientists

Appendix



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