Informatics Methods in Biomedicine:

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Informatics Methods in Biomedicine Foundations
of a Profession
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Post-doc
Clinical
Preclinical
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• Formal
• Mathematical, technical
• Ontology
• Database theory
• Signal processing
• Sequence analysis
• Formal grammars
• Process models
• Software engineering

• Applied
• A core set of methods for implementing and
  evaluating solutions
• Deployment methods
• Implementation issues
• Assess impact

• Empirical
• Cognitive, behavioral, organizational
• Experimental design
• Data modeling
• Visualization
• Decision analysis
• Project management
• User interface

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• Computer Science
• Can apply computational techniques to manage
  data,develop software and solve problems
• Database Systems
• Machine Learning
• Programming and Problem Solving
• Advanced Software Engineering

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• Statistics
• Can apply mathematical techniques to analyze data
  and test hypotheses
• Introduction to Biostatistics
• Introduction to Biostatistical Methods

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• Biomedical
• Is conversant with concepts, terminology,
  institutions, professionals, and methods of
  biomedical domain
• Biochemistry and Molecular Biology
• Acculturation to Medicine
• Physiology
• Epidemiology

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• Informatics Knowledge
• Is familiar with theories and results in Medical
  Informatics, and able to apply basic methods to
  solve problems
• Methods in Medical Informatics (logic, decision
  science, cognitive science)
• Introduction to Medical Informatics Applications

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• Informatics Methods
• Logic
• Formal Grammars
• Ontology
• Database theory
• Decision Theory
• Cognitive Analysis
• Process Models
• Measurement Theory

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• Data Representation
• Can analyze, develop, and apply representations
  of biomedical data
• Representation and Coding of Medical Data

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• Information Systems
• Can analyze, develop, deploy and manage complex
  information systems
• Health Information Systems Architecture
• Introduction to Information Management

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• Information Presentation
• Can analyze, develop, and deploy visual
  presentations of biomedical information
• User Interfaces in Medicine
• Understanding Information

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• Decision Making
• Can analyze, develop, and apply formal models of
  biomedical decision making
• Quantitative Models for Medical Decision Making
  and Clinical Support
• Cognitive Sciences and Medical Informatics
• Social and Economic Factors in Clinical Decision
  Making

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• Evaluation
• Can analyze, plan and carry out formal
  evaluations of information systems
• Evaluation Methods in Medical Informatics
• Design of Medical Experiments
• Introduction to Sociomedical Sciences Research
  Methods

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• Clinical Application Domain
• Economics of Informatics
• Project Management
• Interactive Health Communications
• Introduction to Databases and Data Mining

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• Imaging Application Domain
• Biomedical Imaging
• Analysis and Quantification of Medical Images
• Wavelet Applications
• Computation Neural Modeling and Neuroengineering

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• Bioinformatics Application Domain
• Intro to Genomics
• Computation Genomics
• Sequence Analysis
• Microarrays and Regulatory Networks
• Biological Database

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• Public Health Application Domain
• Use of Large Scale national health care data sets
• Hospital Organization and Management
• Health Communications

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Applying Bioinformatics Knowledge to Research
Areas
Biomedical Knowledge
Biomedical Data
Real-time acquisition Imaging Speech/language/text
Specialized input devices
Machine learning Text interpretation Knowledge
engineering
Knowledge Base
Data Base
Inferencing System
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Basic Research Informatics Challenges Applications
Clinical Coding, data structures, high performance computing Vocabularies, automated retrieval from repositories Distributed medical records, clinical trials, teledentistry
Imaging 3-D modeling, visualization, data representation Ontology-based ref models and classification 3-D anatomy atlases, radiological diagnosis
Bioinformatics Biochips, algorithms for DNA sequencing, patient specific drugs Linking genomic and patient data, security, ethics Genetic-based patient records and protocols
Public Health Databases, searching, data analysis theories and algorithms Integration and validation of info, knowledge discovery Data mining, citizen-based services
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Thanks to Dr. Stephen B. Johnson Dr. Ted
Shortliffe
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