WE UNDERSTAND YOUR EVIDENCE GENERATION NEED
01. Clinical Predictive models.
Natural
history.
Treatment
response.
Personalized
medicine.
Response patterns
to interventions.
Discovery of
biomarker(s) combinations.
Identification of susceptible / undiagnosed patients.
Unsupervised, outcome-adjusted
patient clustering.
02. Descriptive studies.
Deeper Descriptive, Comparative and Registries creation and analyses:
Patient
pathways.
patterns.
Standard
of care.
Healthcare Resources Utilization
(overall/stratified).
Epidemiological
analysis.
Deep characterization of disease
phenotypes and sub-phenotypes.
Diagnostic /
Therapeutic patient journey.
Identification of clinical /
molecular risk factors.
03. Univariate and multivariate analyses.
Univariate
analyses.
Multivariate
Registries creation
for HCRU.
04. Outcomes.
Clinical
Outcomes.
Impact
of Treatment.
In the world of AI possibilities are infinite, contact us for a specific use case creation in our AI Lab:
DATA-DRIVEN QUALITY ASSESSMENT, EXTERNAL EVALUATION AND NLP SYSTEM EVALUATION
Data-driven quality assessment:
Summary statistics for:
Objectives:
External Evaluation Methodology & Evaluation of the NLP system:
01. External Evaluation Methodology:
02. Evaluation of the NLP system:
Secure your seat at the EvidencIA Summit I 05 OCT 2023 I