AI for Geriatric Medicine

Fall Risk Prediction

Multifactorial Model

class FallRiskPredictor:
    def compute_risk(self, features):
        risk = 0.0
        risk += max(0, (0.8 - features['gait_speed']) / 0.8) * 0.3
        risk += max(0, (1 - features['balance_score'])) * 0.25
        risk += min(features['medication_count'] / 10, 1.0) * 0.2
        risk += max(0, (1 - features['vision_score'])) * 0.15
        risk += max(0, (1 - features['cognitive_score'])) * 0.1
        return min(risk, 1.0)

Cognitive Decline Detection

Digital Biomarkers

class CognitiveDeclineDetector:
    def detect_decline(self, baseline, current):
        reaction_change = (current['reaction_time'] - baseline['reaction_time']) / baseline['reaction_time']
        accuracy_change = baseline['accuracy'] - current['accuracy']
        overall = (reaction_change + accuracy_change) / 2
        return {'decline_magnitude': overall, 'significant': overall > 0.15}

Fried Frailty Criteria