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An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems [article]

Farzaneh Khoshnevisan, Min Chi
2020 arXiv   pre-print
We evaluate our framework for early diagnosis of an extremely challenging condition, septic shock, using two real-world EHRs from distinct medical systems in the U.S.  ...  The results show that by separating globally-shared from domain-specific representations, our framework significantly improves septic shock early prediction performance in both EHRs and outperforms the  ...  Also, previous studies have demonstrated that such labels are unreliable to be used alone as ground truth [46] . Therefore, we refer to a definition from our experts to identify septic shock onset.  ... 
arXiv:2010.13952v1 fatcat:7xttbwo3w5hjfej7vkfvaqci64

Machine learning for early prediction of circulatory failure in the intensive care unit [article]

Stephanie L. Hyland and Martin Faltys and Matthias Hüser and Xinrui Lyu and Thomas Gumbsch and Cristóbal Esteban and Christian Bock and Max Horn and Michael Moor and Bastian Rieck and Marc Zimmermann and Dean Bodenham and Karsten Borgwardt and Gunnar Rätsch and Tobias M. Merz
2019 arXiv   pre-print
We used machine learning to develop an early warning system for circulatory failure based on a high-resolution ICU database with 240 patient years of data.  ...  The limited ability of humans to process such complex information hinders physicians to readily recognize and act on early signs of patient deterioration.  ...  The prediction of septic shock has also been addressed, for instance, the TREWScore 22 identifies patients before the onset of septic shock with an AUROC of 83% (with 85% sensitivity at specificity of  ... 
arXiv:1904.07990v2 fatcat:nrommtftjzd2zjbnnap5pbtbou

2021 AIUM Award Winners

2021 Journal of ultrasound in medicine  
She recovered fully, avoiding limb amputation and development of septic shock, likely due to the early diagnosis of necrotizing fasciitis on bedside ultrasound.  ...  shock.  ...  Our goal for this academic year is to continue to develop new methods to promote ultrasound research, knowledge, and clinical skills using virtual platforms.  ... 
doi:10.1002/jum.15752 fatcat:v4nx5fvjwndrzfppaiaylgon64

Neurocritical Care Society Virtual 19th Annual Meeting October 26-29, 2021

2021 Neurocritical Care  
Methods We retrospectively reviewed consecutive patients admitted for suspected aneurysmal SAH (aSAH) to an academic center.  ...  We aimed to design a predictive model, based on radiographic features of admission non-contrast head computerized tomography (NCHCT), to differentiate PMSAH from aneurysmal causes.  ...  We tested a standardized SNOMED-CT vocabulary for accuracy predicting expert labels.  ... 
doi:10.1007/s12028-021-01352-8 pmid:34665440 pmcid:PMC8525455 fatcat:6k4o23vj4re5vivnkuar7fky5e


William C Horne
Patients and providers need to exchange medical records. Electronic Health Records and Health Information Exchanges leave a patient's health record fragmented and controlled by the provider.  ...  This thesis proposes a Peer-to-Peer Personal Health Record network that can be extended with third-party services. This design enables patient control of health records and the tracing of exchanges.  ...  The authors noted that missing data prevented the diagnosis of specific types of sepsis such as septic shock.  ... 
doi:10.25394/pgs.8977421.v1 fatcat:yovhdmijgzgbpcep6wwiv5m2pa

Computational Drug Repositioning Based on Integrated Similarity Measures and Deep Learning [article]

Tamer N R Jarada, University Of Calgary, Jon G. Rokne
Third, it proposes a robust framework that utilizes known drug-disease interactions and drug-related similarity information to predict new drug-disease interactions.  ...  Fourth, it introduces a novel integrative framework for predicting drug-disease interactions using known drug-disease interactions, drug-related similarity information, and disease-related similarity information  ...  SNF-CVAE model is able to predict ten drug candidates for potentially treating AD with a prediction score of 0.48 or more.  ... 
doi:10.11575/prism/39385 fatcat:6pmdqhskijdghldu6ka3k5pdei