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Services

Consultation  Service

Design Methodology

Build up
Database

  • Retrospective/prospective cohort studies

  • Cross-sectional studies

  • Clinical Randomized Controlled Trials

  • Real-world study

  • Patient-reported outcome

  • Health Economics & Outcomes Research (HEOR)

  • System review and meta-analysis

  • Protocol development

  • Study materials development (e.g., questionnaires, case report forms, informed consent forms, and interview guides)

  • Intelligent Follow-up System development, verification, and implementation

  • Data management

Data 
Analytics

  • Data cleansing

  • Statistical analysis

  • Data Visualization

  • Advanced data analysis (e.g., AI model, machine learning)

Before
Consultation

After
Consultation

Target
Objective

  • Literature review

  • Identify research scope

  • Feasibility assessments

  • Regulatory & ethics submissions

AI Model
Application

Publication/

Reporting

Consultation
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Advanced Data Analysis

Data Mining and Machine Learning

Principal Component Analysis

Divergence From Randomness

Heat-map Analysis

Random Decision Forests Model

Support Vector Machine

Data Analysis
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Intelligent Follow-up System

App

Contact us for more!

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