Real-world Clinical Study and Medical Machine Intelligence Study for Traditional Chinese Internal Medicine

Real-world Clinical Study and Medical Machine Intelligence Study for Traditional Chinese Internal Medicine by Using Medical Big Data and Artificial Intelligence Methods

This real-world study aimed at 1. exploring the relationships of traditional Chinese medicine (TCM) syndrome and internal diseases, 2. investigating the relationships of TCM treatment and internal diseases, and 3. creating medical machine intelligence to help internal physician in clinical practice. Big data methods and artificial intelligence algorithms are used to assess the associations based on electronic case files of patients.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

2000000

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

    • Shanghai
      • Shanghai, Shanghai, China, 200040
        • Recruiting
        • Huasha Hospital
        • 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

20 years to 100 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

all patients of internal medicine in hospital to include hospital of Chinese medicine and morden hospital in China

Description

Inclusion Criteria:

  • all patient records of internal medicine in hospital

Exclusion Criteria:

  • subjects with major missing data

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

  • Observational Models: Case-Only
  • Time Perspectives: Other

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Group
regular medical treatment

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
internal diseases
Time Frame: 10 years
all of internal diseases
10 years

Collaborators and Investigators

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

Sponsor

Collaborators

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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 (Actual)

April 1, 2017

Primary Completion (Actual)

December 30, 2020

Study Completion (Anticipated)

December 30, 2022

Study Registration Dates

First Submitted

September 5, 2017

First Submitted That Met QC Criteria

September 5, 2017

First Posted (Actual)

September 7, 2017

Study Record Updates

Last Update Posted (Actual)

January 6, 2021

Last Update Submitted That Met QC Criteria

January 5, 2021

Last Verified

January 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 20170906

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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