Services
Consultation Service
Design Methodology
Build up
Database
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Retrospective/prospective cohort studies
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Cross-sectional studies
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Clinical Randomized Controlled Trials
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Real-world study
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Patient-reported outcome
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Health Economics & Outcomes Research (HEOR)
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System review and meta-analysis
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Protocol development
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Study materials development (e.g., questionnaires, case report forms, informed consent forms, and interview guides)
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Intelligent Follow-up System development, verification, and implementation
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Data management
Data
Analytics
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Data cleansing
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Statistical analysis
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Data Visualization
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Advanced data analysis (e.g., AI model, machine learning)
Before
Consultation
After
Consultation
Target
Objective
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Literature review
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Identify research scope
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Feasibility assessments
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Regulatory & ethics submissions
AI Model
Application
Publication/
Reporting
Advanced Data Analysis
Data Mining and Machine Learning
Principal Component Analysis
Divergence From Randomness
Heat-map Analysis
Random Decision Forests Model
Support Vector Machine
Intelligent Follow-up System
