WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset

oleh: Daniel R. Miller, Gurpreet S. Dhillon, Nicholas Bambos, Andrew Y. Shin, David Scheinker

Format: Article
Diterbitkan: Nature Portfolio 2023-03-01

Deskripsi

Abstract WAVES is a large, single-center dataset comprising 9 years of high-frequency physiological waveform data from patients in intensive and acute care units at a large academic, pediatric medical center. The data comprise approximately 10.6 million hours of 1 to 20 concurrent waveforms over approximately 50,364 distinct patient encounters. The data have been de-identified, cleaned, and organized to facilitate research. Initial analyses demonstrate the potential of the data for clinical applications such as non-invasive blood pressure monitoring and methodological applications such as waveform-agnostic data imputation. WAVES is the largest pediatric-focused and second largest physiological waveform dataset available for research.