STRATA EMR HOW TO
Additional use includes The University of Chicago creating a highly-detailed tutorial demonstrating how to use R using the repositories, University of California Merced, and The University of Tampere, Finland.
To demonstrate superiority over traditional neural networks, they applied their architecture to a congestive heart failure use case. In May 2018 scientists from IBM Research and Cornell University have used the repositories to test a new deep architecture denoted as Health-ATM. Their study describes a novel neural network that performs better than the widely used long short-term memory neural network developed by Sepp Hochreiter and Jürgen Schmidhuber in 1997. The repositories have been used to accelerate research, e.g., researchers from Michigan State University, IBM Research, and Cornell University published a study in the Knowledge Discovery and Data Mining (KDD) conference. Co-authors on the study included scientists from Universitat Pompeu Fabra and Harvard University. In April 2018 Bioinformatics (journal) published a study that relied on EMRBots data to create a new R package denoted as "comoRbidity". In March 2022, Ishani Das, a student researcher from Cupertino High School, used EMRBots to develop an Artificial Intelligence based Clinical Decision Support Tool which is available via the open-source community AI-Assist.
Generating highly accessible repositories of artificial patient EMRs while relying only minimally on real patient data is expected to serve as a valuable resource to a broader audience of medical personnel, including those who reside in underdeveloped countries. Simulated medical databases are currently available however, they are difficult to configure and are limited in their resemblance to real clinical databases. Individuals who work at institutions that do not have access to EMR systems have no opportunity to gain hands-on experience with this valuable resource. Because EMRs are subject to confidentiality requirements, accessing and analyzing EMR databases is a privilege given to only a small number of individuals. They may also contain other sensitive information such as medical details related to fertility treatments. For example, they may include details about infectious diseases, such as human immunodeficiency virus (HIV), or they may contain information about a mental disorder. 8 Other Synthetic Medical Data ResourcesĮMRs contain sensitive personal information.
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