ksb-d05-k0036

name	KSB-D05-K0036
description	Safety Signal Prediction: Machine learning models predicting adverse event likelihood based on patient characteristics...
version	1.0.0
domain	D05
domain_name	Clinical Trials PV
type	Knowledge
proficiency_level	L1
bloom_level	understand
triggers	["explain safety signal prediction","what is safety signal prediction","explain safety signal prediction"]
epa_mapping	EPA-02, EPA-04, EPA-08
cpa_mapping	CPA-01, CPA-07
regulatory_refs	EMA-REG-004, ICH-E6

KSB-D05-K0036: Safety Signal Prediction

Overview

Domain: D05 - Clinical Trials PV Type: Knowledge Proficiency Level: L1 (Novice - Direct supervision required) Bloom Level: Understand

Description

Machine learning models predicting adverse event likelihood based on patient characteristics

Context

• Major Section: Clinical Trial Regulatory Framework and Safety Requirements
• Section: Predictive Analytics and Machine Learning

EPA Mapping

• EPA-02:3004-3005
• EPA-04:3009-3010
• EPA-08:3018-3019

CPA Pathway

• CPA-01, CPA-07

Regulatory References

• EMA-REG-004
• ICH-E6

Instructions

When this skill is activated, Claude should:

1. Demonstrate L1 proficiency in safety signal prediction
2. Apply understand level cognitive skills to explain the topic
3. Reference relevant regulatory guidance (EMA-REG-004, ICH-E6)
4. Connect to related EPAs: EPA-02, EPA-04, EPA-08

Key Competencies

• Machine learning models predicting adverse event likelihood based on patient characteristics

Assessment Criteria

• Can explain core concepts independently
• Demonstrates understanding of regulatory context
• Applies knowledge appropriately to PV scenarios

Related Skills

• Other D05 skills in Predictive Analytics and Machine Learning
• Cross-domain integrations per DAG architecture

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Generated from PV KSB Framework v1.0 | 2025-12-31