This document describes a free online Biomedical Computing Certificate course offered by Edukite. The 15-unit course explores how to correlate clinical outcomes with genomic data and addresses privacy issues. Topics include clinical data standards, healthcare information systems, and introductions to bioinformatics and medical expert systems. Upon completing all assignments, students can pay £49 for an official certificate. The course is based on materials from MIT and has over 500 enrolled students.

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Biomedical Computing Certi cate
( 8 REVIEWS ) 593 STUDENTS
Wondering how it possible to correlate clinical outcomes with genomic data? Or what are the risks
that genomic data pose …
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TAKE THIS COURSE

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FREE
1 YEAR
LEVEL 2 - CERTIFICATE
COURSE BADGE
COURSE CERTIFICATE
15NUMBER OF UNITS
0NUMBER OF QUIZZES
6 HOURS
HOME CURRICULUM REVIEWS
Wondering how it possible to correlate clinical outcomes with genomic data? Or what are the risks
that genomic data pose to personal privacy? Enrol the Biomedical Computing Certi cate course
and explore the computational needs of clinical medicine reviews systems and approaches that are
used to support those needs.
In the course, you will learn the relationship between clinical data and gene and protein
measurements. Other areas covered in the course are the nature of clinical data, architecture and
design of healthcare information systems, privacy and security issues, medical expert systems, and
introduction to bioinformatics.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the
assignment of the course as part of assessment. Upon successful completion of a course, you can
choose to make your achievement formal by obtaining your Certi cate at a cost of £49.
Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can:
Add the certi cate to your CV or resume and brighten up your career
Show it to prove your success
Course Credit: MIT

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L-1 Nature of clinical data (Peter Szolovits) 00:40:00
L-2 Standards (Peter Szolovits) Part 1 00:15:00
L-3 Standards (Peter Szolovits) Part 2 01:05:00
L-4 Data in narrative text (Peter Szolovits) 00:30:00
L-5 Building models (Peter Szolovits) 00:30:00
L-6 Decision support via probabilities and utilities (Peter Szolovits) 00:35:00
L-7 Decision support via expert systems (Peter Szolovits) 00:35:00
L-8 Modeling with bayesian networks (Peter Szolovits) 00:15:00
L-9 Patient monitoring and intensive care (Leo Celi) 00:25:00
L-10 HIT in the developing world (Hamish Fraser) 00:25:00
L-11 Learning bayesian networks (Peter Szolovits) 00:10:00
L-12 Patient data privacy (Peter Szolovits and Chris Cassa) 00:15:00
L-13 Computer science challenges from health care (Peter Szolovits) 00:20:00
Assessment
Submit Your Assignment 00:00:00
Certi cation 00:00:00
COURSE CURRICULUM

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COURSE REVIEWS
4.7
8 ratings
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