A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine

Data preprocessing is needed when real-life clinical databases are used as the data sources to learn the probabilities for dynamic decision models. Data preprocessing is challenging as it involves extensive manual effort and time in developing the data operation scripts. This paper presents a framew...

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Main Authors: Zhao F., Tze-Yun LEONG
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2000
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Online Access:https://ink.library.smu.edu.sg/sis_research/2984
http://www.ncbi.nlm.nih.gov/pubmed/11080021
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spelling sg-smu-ink.sis_research-39842016-02-25T07:47:20Z A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine Zhao F., Tze-Yun LEONG, Data preprocessing is needed when real-life clinical databases are used as the data sources to learn the probabilities for dynamic decision models. Data preprocessing is challenging as it involves extensive manual effort and time in developing the data operation scripts. This paper presents a framework to facilitate automated and interactive generation of the problem-specific data preprocessing scripts. The framework has three major components: 1) A model parser that parses the decision model definition, 2) A graphical user interface that facilitates the interaction between the user and the system, and 3) A script generator that automatically generates the specific database scripts for the data preprocessing. We have implemented a prototype system of the framework and evaluated its effectiveness via a case study in the clinical domain. Preliminary results demonstrate the practical promise of the framework. 2000-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/2984 http://www.ncbi.nlm.nih.gov/pubmed/11080021 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Health Information Technology
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Health Information Technology
spellingShingle Databases and Information Systems
Health Information Technology
Zhao F.,
Tze-Yun LEONG,
A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine
description Data preprocessing is needed when real-life clinical databases are used as the data sources to learn the probabilities for dynamic decision models. Data preprocessing is challenging as it involves extensive manual effort and time in developing the data operation scripts. This paper presents a framework to facilitate automated and interactive generation of the problem-specific data preprocessing scripts. The framework has three major components: 1) A model parser that parses the decision model definition, 2) A graphical user interface that facilitates the interaction between the user and the system, and 3) A script generator that automatically generates the specific database scripts for the data preprocessing. We have implemented a prototype system of the framework and evaluated its effectiveness via a case study in the clinical domain. Preliminary results demonstrate the practical promise of the framework.
format text
author Zhao F.,
Tze-Yun LEONG,
author_facet Zhao F.,
Tze-Yun LEONG,
author_sort Zhao F.,
title A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine
title_short A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine
title_full A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine
title_fullStr A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine
title_full_unstemmed A Data Preprocessing Framework for Supporting Probability-learning in Dynamic Decision Modeling in Medicine
title_sort data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine
publisher Institutional Knowledge at Singapore Management University
publishDate 2000
url https://ink.library.smu.edu.sg/sis_research/2984
http://www.ncbi.nlm.nih.gov/pubmed/11080021
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