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Browse: Keyword: Bayesian Models

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Biomedical Computing, Fall 2010

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Abstract:: Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics.

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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The Development of Object and Face Recognition, Spring 2006

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Abstract:: This course takes a 'back to the beginning' view that aims to better understand the end result. What might be the developmental processes that lead to the organization of 'booming, buzzing confusions' into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. The structure of the course is designed to get students to learn and to focus on the genre of study as a whole; to get a feel for how science is done in this field.

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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Top Keywords

Bayesian Models Bayesian Networks Bayesian Occam's Razor Bioinformatics Causal Reasoning Clinical Data Computational Frameworks Computational Theories of Human Cognition Concept Categorization Concept Learning Core Aspects of Cognition Decision Support Developing Countries Expert Systems Grammars Graphical Models Health Information Systems Hierarchical Bayesian Models Information Theory Language Acquisition Medical Data Medical Informatics Nonparametric Statistical Models Patient Data Privacy Personal Health Records

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Bayesian Models Bayesian Networks Bayesian Occam's Razor Bioinformatics Causal Reasoning Clinical Data Computational Frameworks Computational Theories of Human Cognition Concept Categorization Concept Learning Core Aspects of Cognition Decision Support Developing Countries Expert Systems Grammars Graphical Models Health Information Systems Hierarchical Bayesian Models Information Theory Language Acquisition Medical Data Medical Informatics Nonparametric Statistical Models Patient Data Privacy Personal Health Records Predictive Genomics Principles of Inductive Learning and Inference Probabilistic Graphical Models Probabilistic Models Probabilistic Models Defined Over Structured Representations Such as First-Order Logic Public Health Informatics Relational Schemas Representation of Knowledge Sampling Algorithms for Approximate Learning and Inference Inference Theory Formation

Conditions of Use

No Strings Attached
Remix and Share
Share Only
Read the Fine Print

No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.

Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.

Your redistributing comes with some restrictions. Do not remix or make derivative works.

Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.

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