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Found 8 papers, 3 papers with code
Automated multilabel diagnosis on electrocardiographic images and signals
The application of artificial intelligence (AI) for automated diagnosis of electrocardiograms (ECGs) can improve care in remote settings but is limited by the reliance on infrequently available signal-based data.
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Electronic health records (EHRs), digital collections of patient healthcare events and observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and research.
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks
A practical problem with this approach is that the amount of data required to confidently train such a regression model can be prohibitive.
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders
We highlight three primary needs in the design of new smart health technologies: 1) the need for sensing technology that can track longitudinal trends in signs and symptoms of the cardiovascular disorder despite potentially infrequent, noisy, or missing data measurements; 2) the need for new analytic techniques that model data captured in a longitudinal, continual fashion to aid in the development of new risk prediction techniques and in tracking disease progression; and 3) the need for machine learning techniques that are personalized and interpretable, allowing for advancements in shared clinical decision making.
A Scalable Data Science Platform for Healthcare and Precision Medicine Research
This infrastructure also provides a robust analytics platform where healthcare and biomedical research data can be analyzed in near real-time for precision medicine and computational healthcare use cases.
Distributed, Parallel, and Cluster Computing
TrialChain: A Blockchain-Based Platform to Validate Data Integrity in Large, Biomedical Research Studies
The TrialChain platform provides a data governance solution to audit the acquisition and analysis of biomedical research data.
Distributed, Parallel, and Cluster Computing Cryptography and Security
People Mover's Distance: Class level geometry using fast pairwise data adaptive transportation costs
We address the problem of defining a network graph on a large collection of classes.
Bigeometric Organization of Deep Nets
In this paper, we build an organization of high-dimensional datasets that cannot be cleanly embedded into a low-dimensional representation due to missing entries and a subset of the features being irrelevant to modeling functions of interest.
