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Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data

Non-contact sensors are gaining popularity in clinical settings to monitor the vital parameters of patients. In this study, we used a non-contact sensor device to monitor vital parameters like the heart rate, respiration rate, and heart rate variability of hemodialysis (HD) patients for a period of...

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Detalles Bibliográficos
Autores principales:	Thakur, Saurabh Singh, Abdul, Shabbir Syed, Chiu, Hsiao-Yean (Shannon), Roy, Ram Babu, Huang, Po-Yu, Malwade, Shwetambara, Nursetyo, Aldilas Achmad, Li, Yu-Chuan (Jack)
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163638/ https://www.ncbi.nlm.nih.gov/pubmed/30150592 http://dx.doi.org/10.3390/s18092833

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