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Platform for Medical Information Extraction From Incomplete Data

NCT01813942 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2013-10-28

No results posted yet for this study

Summary

In order to perform research smoothly, the process of information extraction is required for translating data in clinical text into available format for analysis and statistic. In medical research, the problem of missing data occurs frequently. It is important to develop the method with better imputation performance in the stability and accuracy. The purposes of this project are to provide the data integration and extraction methods for handling the structured and unstructured data sources in more efficient ways, to provide the validation scheme for facilitating the data reviewing of extracted results produced by information extraction modules, to increase the quality of clinical data by comparing the data from different data sources and correcting data errors and inconsistent, to handle the clinical data with the properties of time series and incompleteness, to increase accuracy of data analysis and increase quality of health care by improving the completeness and correctness of clinical data, to provide flexibility of methods in the platform. In the project, the disease topic is focused on the liver cancer patients' clinical data and we hope the methods in the projects can be extended to handle other diseases by replacing these knowledge models in the future.

Conditions

Sponsors & Collaborators

  • National Science and Technology Council, Taiwan

    collaborator OTHER_GOV

  • National Taiwan University Hospital

    lead OTHER

Principal Investigators

  • Feipei Lai · National Taiwan University

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2013-03-31
Primary Completion
2016-03-31
Completion
2016-03-31

Countries

  • Taiwan

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01813942 on ClinicalTrials.gov