Sharable Knowledge Mining Platform

August 9, 2010 updated by: National Taiwan University Hospital

Sharable Knowledge Mining Platform for Clinical Data Extraction, and Medical Knowledge and Mining Services Sharing

As a result of increasing adoption of health information systems in hospitals, more and more health records can be gathered and accumulated in the healthcare data repository. For this reason, the opportunity of analyzing and mining the healthcare data for quality improvement is increasing and becoming more and more important.

The purpose of the project is to gather the clinical data relevant to liver cancer, and adopt the knowledge discovery and mining modules in information technology (IT) for analyzing and discovering the knowledge from the gathered clinical data.

We can analyze the gathered clinical data for comparing the outcomes of different treatment strategies, finding out new diagnosis and staging criteria and factors, and other hidden knowledge included in the clinical data.

Afterwards, the discovered results and the mining algorithms can be shared though the sharable knowledge mining platform provided by our project.

Study Overview

Status

Unknown

Conditions

Study Type

Observational

Enrollment (Anticipated)

10000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Taiwan
      • Taipei, Taiwan
        • Recruiting
        • National Taiwan University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

patients with liver cancer. (ICD9 Code is 155.0)

Description

Inclusion Criteria:

  • Clinical data of patients with liver cancer. (ICD9 Code is 155.0)
  • Males and females

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
liver cancer
Clinical data of patients with liver cancer

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
the relationship between the clinical data and the decision of treatment strategies
Time Frame: 2 years
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

National Taiwan University Hospital

Collaborators

National Science Council, Taiwan

Investigators

  • Study Chair: Feipei Lai, Ph.D., National Taiwan University,Graduate Institute of Biomedical Electronics

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2010

Primary Completion (Anticipated)

March 1, 2013

Study Completion (Anticipated)

March 1, 2013

Study Registration Dates

First Submitted

May 30, 2010

First Submitted That Met QC Criteria

August 9, 2010

First Posted (Estimate)

August 10, 2010

Study Record Updates

Last Update Posted (Estimate)

August 10, 2010

Last Update Submitted That Met QC Criteria

August 9, 2010

Last Verified

July 1, 2010

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 201002032R

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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