A workflow for the modeling and analysis of biomedical data

A workflow for the modeling and analysis of biomedical data

Bibliographic Details
Main Author: Marsolo, Keith Allen
Language:English
Published: The Ohio State University / OhioLINK 2007
Subjects:
Computer Science
Biomedical Data Modeling
Spatial Modeling
Biomedical Knowledge Discovery
Classification of Structure-based Data.
Bioinformatics
Protein Modeling
Protein Classification
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu11803092652021-08-03T05:52:04Z A workflow for the modeling and analysis of biomedical data Marsolo, Keith Allen Computer Science Biomedical Data Modeling Spatial Modeling Biomedical Knowledge Discovery Classification of Structure-based Data. Bioinformatics Protein Modeling Protein Classification The use of data mining techniques for the classification of shape and structure can provide critical results when applied biomedical data. On a molecular level, an object's structure influences its function, so structure-based classification can lead to a notion of functional similarity. On a more macro scale, anatomical features can define the pathology of a disease, while changes in those features over time can illustrate its progression. Thus, structural analysis can play a vital role in clinical diagnosis. When examining the problem of structural or shape classification, one would like to develop a solution that satisfies a specific task, yet is general enough to be applied elsewhere. In this work, we propose a workflow that can be used to model and analyze biomedical data, both static and time-varying. This workflow consists of four stages: 1) Modeling, 2) Biomedical Knowledge Discovery, 3) Incorporation of Domain Knowledge and 4) Visual Interpretation and Query-based Retrieval. For each stage we propose either new algorithms or suggest ways to apply existing techniques in a previously-unused manner. We present our work as a series of case studies and extensions. We also address a number of specific research questions. These contributions are as follows: We show that generalized modeling methods can be used to effectively represent data from several biomedical domains. We detail a multi-stage classification technique that seeks to improve performance by first partitioning data based on global, high-level details, then classifying each partition using local, fine-grained features. We create an ensemble-learning strategy that boosts performance by aggregating the results of classifiers built from models of varying spatial resolutions. This allows a user to benefit from models that provide a global, coarse-grained representation of the object as well as those that contain more fine-grained details, without suffering from the loss of information or noise effects that might arise from using only a single selection. Finally, we propose a method to model and characterize the defects and deterioration of function that can be indicative of certain diseases. 2007-06-22 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265 http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Biomedical Data Modeling
Spatial Modeling
Biomedical Knowledge Discovery
Classification of Structure-based Data.
Bioinformatics
Protein Modeling
Protein Classification
spellingShingle Computer Science
Biomedical Data Modeling
Spatial Modeling
Biomedical Knowledge Discovery
Classification of Structure-based Data.
Bioinformatics
Protein Modeling
Protein Classification
Marsolo, Keith Allen
A workflow for the modeling and analysis of biomedical data
author Marsolo, Keith Allen
author_facet Marsolo, Keith Allen
author_sort Marsolo, Keith Allen
title A workflow for the modeling and analysis of biomedical data
title_short A workflow for the modeling and analysis of biomedical data
title_full A workflow for the modeling and analysis of biomedical data
title_fullStr A workflow for the modeling and analysis of biomedical data
title_full_unstemmed A workflow for the modeling and analysis of biomedical data
title_sort workflow for the modeling and analysis of biomedical data
publisher The Ohio State University / OhioLINK
publishDate 2007
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265
work_keys_str_mv AT marsolokeithallen aworkflowforthemodelingandanalysisofbiomedicaldata
AT marsolokeithallen workflowforthemodelingandanalysisofbiomedicaldata
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