Association Analysis for Chronic Diseases Based on Resident Health Records by Using Big Data Methods

Shanghai Tongji Hospital, Tongji University School of Medicine10,000,000 enrolled

Overview

This is an observational study to analysis the association factors for common diseases, including chronic obstructive pulmonary disease, coronary artery disease, hypertension, diabetes etc, based on resident healthcare records. More than 10 million resident healthcare records should be collected for the associations study by using big data methods.

Study Type

OBSERVATIONAL

Enrollment

10,000,000

Conditions

Chronic Disease

Interventions

not any interventionOTHER

not any intervention

Eligibility

Sex: ALLMin age: 20 YearsMax age: 100 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Survey Chinese residents aged 20 - 100 years, were included in this study. Exclusion Criteria: * Serious hepatic or renal dysfunctions.

Locations (1)

Huasha Hospital

Shanghai, Shanghai Municipality, China

Outcomes

Primary Outcomes

regular diagnosis and medical history of common diseases

resident health records for medical history of common diseases, questionnaire

Time frame: an average of 1 year

Data from ClinicalTrials.gov

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