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 Biomedical Information Technology (BE.453J)  posted by  member7_php   on 3/1/2009  Add Courseware to favorites Add To Favorites  
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Abstract/Syllabus:

Dewey, C. Forbes, Hanry Yu, and Sourav Saha Bhowmick, 20.453J Biomedical Information Technology, Fall 2008. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed 09 Jul, 2010). License: Creative Commons BY-NC-SA

Biomedical Information Technology (BE.453J)

Spring 2005

Color photo of a gene array.

Biomedical technologies like this gene array are fueling rapid growth in sophisticated information systems for medical applications. (Courtesy of the National Institute of Standards and Technology).

Course Highlights

This course features a complete set of lecture slides.

Course Description

The objective of this subject is to teach the design of contemporary information systems for biological and medical data. These data are growing at a prodigious rate, and new information systems are required. This subject will cover examples from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures will be covered. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (C, C++, Java®, Lisp, Perl, Python, etc.). A major term project is required of all students. Reading is assigned from the contemporary literature, and there is occasional homework.

Technical Requirements

Microsoft® Powerpoint® software is recommended for viewing the .ppt files found on this course site. Free Microsoft® Powerpoint® viewer software can also be used to view the .ppt files.

Syllabus

Course Overview

The objective of this subject is to teach the design of contemporary information systems for biological and medical data. These data are growing at a prodigious rate, and new information systems are required. This subject will cover examples from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures will be covered. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (C, C++, Java®, Lisp, Perl, Python, etc.).

This H-level graduate course is also open to motivated seniors with a strong interest in biomedical engineering and information system design and the ability to carry out a significant independent project.

Prerequisites

1.00, 6.001, or experience with web-based computing.

Readings

There is no course textbook. Readings will be provided from the contemporay literature for each class session. Readings are also incorporated into some of the homework assignments.

Term Project

Each student in the course is required to present a term project that illustrates the use of the course material in a real information technology case in biology or medicine. The actual content of the case can vary depending upon the student's interests and existing skills. Projects can range from general studies of a class of problems and the recommendation of a solution to detailed implementations in running software.

Homework

Prior to the term project, students will complete four homework assignments.

Calendar

LEC # TOPICS KEY DATES
1 Introduction

Objectives and Methodology

The Information-driven Scientific Method

Ontology and Semantics for Biomedical Information

Term Paper Instructions
 
2 The Life Cycle of Scientific Data

Hypothesis to be Tested

Data Acquisition: Design

Data Acquisition: Measurement and Storage

Analysis and Modeling

Accomodating the Unknown - By Design
 
Part I: Basic Technologies (3 Weeks)
3 General Principles of Client-Server Architectures

Several contemporary papers on client-server architecture will be assigned for reading and discussed under the following topics:

The Parts: Client, Server, and "Glue"

Dividing the Tasks

Re-usable Code

Projections of Hardware and Software Trends
Home work 1 due
4 Database Technology I

Object and Relational Database Technology

The Database Schema

Accessing Databases: SQL, ODBC, and JDBC

Size, Performance, and Other Issues
 
5 Database Technology II

Designing Database Schema

Stored Procedures and Similar Mechanisms

Local vs. Global Databases

Database Federation
Home work 2 due
6 Client Technology

The Classic Tradeoff: Server-side vs. Client-side Functionality

Handling Data Returned From the Server

Choice of Client Software: Java or ??

Graphics Capability
 
7 The Umbilical Cord And Alphabet Soup

Java Contributions

Network Technologies: TCP/IP, Sockets, Threads

Encapsulation Layer: XML®, RDF

Use of CORBA
Home work 3 due
8 Metadata And The Support of Data Analysis

Getting the Data

Creating Storable Results

Storage Options: Keeping the Object Connection (UIDs)

Querying and Manipulating the Metadata

Implementing Database Federation and Complex Queries
Home work 4 due
9 Putting it All Together: Complete Architectures

Component Definition and Documentation

Connecting the Components

Robustness and Maintenance

Performance and Security

Interoperability

Standards for Data Interchange
 
Part II: Selected Examples (4 Weeks)
10 Medical Imaging Information I

The DICOM International Standard

The Patient-study-series-image Hierarchy

Design of an Object-oriented Database for DICOM Images
 
11 Medical Imaging Information II

Integration of Metadata into the Images

Compression

Integration of Images into the Healthcare Environment: IHE

Beyond Databases: Structured Reporting
 
12 No Formal Class Meeting

Use this week to complete three-page proposals for term paper. Schedule individual guidance sessions with the instructor. Critique will be returned by email prior to Lecture 13
Term paper proposal due after 5 days
13 Micro Array Information I

Raw Data and Experiment Information

Existing Information Standards: MAGE-OM, MIAME

Existing Database Schema: Array Express, MIAMExpress

Integration of Micro Array and Gel Electrophoresis Schema
 
14 Micro Array Information II

Methods of Analysis

Use Cases for Analysis

Storage and Query of Metadata

An Example: Pacific Northwest National Laboratory
 
15 Gel Electrophoresis

Statement of the Experimental Problem

Defining Experimental Information Objects

The Case for Keeping Raw Image Data

Creating Individual Tables and Functions

Design of a Database Schema for Gel Electrophoresis

Interacting with External Analysis Programs

Storing and Retrieving Metadata

Generalization of Results to Other Experimental Methods
 
16 Swan: Semantic Web Applications in Neuromedicine

Guest lecture by Tim Clark, Massachusetts General Hospital and Harvard Medical School
 
17 Firespout ETL: THE Extract/Transform/Load Engine for Stored Data

Guest Lecture by Ngon Dao, Formerly CEO of Firespout
 
18 Firespout: The Launching of an Information Technology Company

Guest Lecture by Ngon Dao, Formerly CEO of Firespout
 
19 Biological Image Information

SEM, TEM, and Cryo-EM

Fluorescent Images

Analysis Requirements for Different Imaging Modalities

Compression and Other Strategies for Minimizing Storage

Similarities with Other Experimental Data Types

OME - The Open Microscopy Environment
 
Part III: Data Integration and Analysis (1 Week)
20 Data Integration and Analysis I

Integration in the Hospital Environment
- Imaging and Information Flow
- Use of the DICOM Standard
- The Personal Healthcare Record (EMR)
- HL-7: The Hospital Standard for Information Exchange
- IHE: Integrated Healthcare Environment

The Importance of Use Cases: York Hospital

Adding Metadata to Images and Other Records
- DICOM Structure Reporting (SR)

Diagnostic Coding Systems: SNOMED
 
21 Data Integration and Analysis II

Integration in the Biological Environment
- New Standards are Required
- The Role of the W3C
- XML® and RDF as the "Medium and the Message"
(i) XML®/RDF for Schema Representation
(ii) XML®/RDF for Neutral Transport
(iii) RDF/OWL for Semantic Packages

Database Considerations
- Strengths of Relational Databases
- Weaknesses of the Relational Model
Solutions
- Database Federation

Adding Metadata to Images and Other Records
 
Part IV: Student Presentations and Summary (2 Weeks)
22 Student Paper Presentations I  
23 Student Paper Presentations II  
24 Student Paper Presentations III  
25 Capstone Roundtable Discussion

Session with leading IT professionals from the pharmaceutical and medical community in Boston. Discussion will include current state of IT for dealing with large medical and biological data sources, future challenges, and future opportunities.
 
26 Last Class (Part 2)

Open Discussion in "Relaxed Atmosphere"



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