Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)
Abstract Digital medicine is an interdisciplinary field, drawing together stakeholders with expertize in engineering, manufacturing, clinical science, data science, biostatistics, regulatory science, ethics, patient advocacy, and healthcare policy, to name a few. Although this diversity is undoubted...
Guardado en:
Autores principales: | Jennifer C. Goldsack, Andrea Coravos, Jessie P. Bakker, Brinnae Bent, Ariel V. Dowling, Cheryl Fitzer-Attas, Alan Godfrey, Job G. Godino, Ninad Gujar, Elena Izmailova, Christine Manta, Barry Peterson, Benjamin Vandendriessche, William A. Wood, Ke Will Wang, Jessilyn Dunn |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1b5f94c494b5431a8b26ec28113f48ab |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data
por: Brinnae Bent, et al.
Publicado: (2021) -
Investigating sources of inaccuracy in wearable optical heart rate sensors
por: Brinnae Bent, et al.
Publicado: (2020) -
Reply: Matters Arising ‘Investigating sources of inaccuracy in wearable optical heart rate sensors’
por: Brinnae Bent, et al.
Publicado: (2021) -
Publisher Correction: Modernizing and designing evaluation frameworks for connected sensor technologies in medicine
por: Andrea Coravos, et al.
Publicado: (2020) -
Modernizing and designing evaluation frameworks for connected sensor technologies in medicine
por: Andrea Coravos, et al.
Publicado: (2020)