| name | KSB-D02-K0078 |
| description | AI Time-Series ADR Analysis: Mastery of AI techniques for temporal ADR analysis including time-series modeling for ADR evolution,... |
| version | 1.0.0 |
| domain | D02 |
| domain_name | Clinical Aspects of ADRs |
| type | Knowledge |
| proficiency_level | L4 |
| bloom_level | analyze |
| triggers | ["explain ai time-series adr analysis","what is ai time-series adr analysis","analyze ai time-series adr analysis"] |
| epa_mapping | EPA-01, EPA-02, EPA-05 |
| cpa_mapping | CPA-01, CPA-02 |
| regulatory_refs | |
KSB-D02-K0078: AI Time-Series ADR Analysis
Overview
Domain: D02 - Clinical Aspects of ADRs
Type: Knowledge
Proficiency Level: L4 (Proficient - Independent practice)
Bloom Level: Analyze
Description
Mastery of AI techniques for temporal ADR analysis including time-series modeling for ADR evolution, duration prediction algorithms, recovery trajectory modeling, and long-term outcome prediction using machine learning.
Context
- Major Section: AI-Enhanced ADR Analysis
- Section: Temporal AI Analysis
EPA Mapping
- EPA-01:3001-3003
- EPA-02:3004-3005
- EPA-05:3011-3012
CPA Pathway
Regulatory References
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in ai time-series adr analysis
- Apply analyze level cognitive skills to analyze the topic
- Reference relevant regulatory guidance (general PV standards)
- Connect to related EPAs: EPA-01, EPA-02, EPA-05
Key Competencies
- Mastery of AI techniques for temporal ADR analysis including time-series modeling for ADR evolution, duration prediction algorithms, recovery trajectory modeling, and long-term outcome prediction using machine learning.
Assessment Criteria
- Can analyze core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D02 skills in Temporal AI Analysis
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31
