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Development of an Evidence-Based Synthetic Dataset for AI-Driven Multi-Condition Health Screening Using IoT Sensors and Symptom Profiles

2026-07-29

Abstract excerpt

Artificial-intelligence-driven screening on wearable and IoT-connected physiological sensors is limited by the scarcity of holistic, ethically shareable datasets that jointly capture sensor readings, symptoms, demographics, and clinically grounded condition labels. Randomly generated synthetic data can fill this gap in volume but typically fails to preserve the clinically meaningful correlations that a screening m...

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Literature Corpus work
0ce989bc-b8f3-52f5-acd9-0c3263714e78
DOI
10.20944/preprints202607.2154.v1
Open publication

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Development of an Evidence-Based Synthetic Dataset for AI-Driven Multi-Condition Health Screening Using IoT Sensors and Symptom ProfilesDOI 10.20944/preprints202607.2154.v1
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