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emrbots

EMRBots are experimental artificially generated electronic medical records (EMRs). The aim of EMRBots is to allow non-commercial entities (such as universities) to use the artificial patient repositories to practice statistical and machine-learning algorithms. Commercial entities can also use the repositories for any purpose, as long as they do not create software products using the repositories.

emrbots-1

ibm-harvard-workshop

IBM Research hosts Harvard MD students (March 2019): Learn fundamentals of electronic medical records using R applicative to a causality use case.

insomnia_emr_algorithm

Insomnia EMR Algorithm: calculate the probability for insomnia using a combination of structured and unstructured variables.

meld-plus

MELD-Plus is a risk score to assess severity of chronic liver disease. The score includes nine variables as effective predictors for 90-day mortality after a discharge from a cirrhosis-related admission. The variables include all Model for End-Stage Liver Disease (MELD)'s components, as well as sodium, albumin, total cholesterol, white blood cell count, age, and length of stay. MELD-Plus was created as a result of a collaboration between Massachusetts General Hospital and IBM.

spbfs

Sub-population-based feature selection

t-lstm

Time-Aware LSTM

text-nailing

Text Nailing (TN) is an information extraction method of semi-automatically extracting structured information from unstructured documents.

uhpr