Performance Evaluation of Nasal Prong Interface for CPAP Delivery on a Critical Care Ventilator: A Bench Experiment

2021 ◽  
pp. respcare.09018
Author(s):  
Natalie Napolitano ◽  
Tracey Roberts ◽  
Amanda J Nickel ◽  
Joseph McDonough ◽  
Haorui Sun ◽  
...  
Keyword(s):  
Critical Care ◽  
Performance Evaluation ◽  
Nasal Prong ◽  
Bench Experiment

scholarly journals Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization

2018 ◽  
Author(s):  
Kejing Yin ◽  
William K. Cheung ◽  
Yang Liu ◽  
Benjamin C. M. Fung ◽  
Jonathan Poon
Keyword(s):  
Critical Care ◽  
Performance Evaluation ◽  
Maximum Likelihood ◽  
State Of The Art ◽  
Likelihood Estimation ◽  
Mortality Prediction ◽  
Tensor Factorization ◽  
Joint Learning ◽  
Interaction Tensor ◽  
Mimic Iii

Non-negative tensor factorization has been shown effective for discovering phenotypes from the EHR data with minimal human supervision. In most cases, an interaction tensor of the elements in the EHR (e.g., diagnoses and medications) has to be first established before the factorization can be applied. Such correspondence information however is often missing. While different heuristics can be used to estimate the missing correspondence, any errors introduced will in turn cause inaccuracy for the subsequent phenotype discovery task. This is especially true for patients with multiple diseases diagnosed (e.g., under critical care). To alleviate this limitation, we propose the hidden interaction tensor factorization (HITF) where the diagnosis-medication correspondence and the underlying phenotypes are inferred simultaneously. We formulate it under a Poisson non-negative tensor factorization framework and learn the HITF model via maximum likelihood estimation. For performance evaluation, we applied HITF to the MIMIC III dataset. Our empirical results show that both the phenotypes and the correspondence inferred are clinically meaningful. In addition, the inferred HITF model outperforms a number of state-of-the-art methods for mortality prediction.

GLP-1 May Be Alternative to Insulin in Critical Care

2008 ◽  
Vol 41 (5) ◽  
pp. 30
Author(s):  
MIRIAM E. TUCKER
Keyword(s):  
Critical Care
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