Missing data imputation for longitudinal multi-variable EHR data. Paper in JAMIA.
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Updated
Jul 27, 2018 - R
Missing data imputation for longitudinal multi-variable EHR data. Paper in JAMIA.
"Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data" MLHC 2017
Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So, it is just a preliminary model using XGBoost algorithm with some basic data exploration for data processing.
The monolithic server-side repository of EHRoute, a secure Electronic Health Records (EHR) storage and sharing solution
Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.
Regression Model to predict the estimated hospitalisation for a patient to test a new drug for Diabetes using EHR data
Nature Medicine paper. A Multidimensional Precision Medicine Approach for Autism Subtype Identification.
Used machine learning in R to assess individual variables involved in the intra-operative pathology consultation process.
In this project, we will create a deep learning model trained on EHR data (Electronic Health Records) to find suitable patients for testing a new diabetes drug.
Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files
EHR DREAM Challenge: Patient Mortality Prediction Submission. "moore" team submission
KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder
OpenAPI which maps custom EHRs into FHIR R4 Patient and Observation resources. Other resources were not implemented (yet).
Predict patients who are likely to be in the hospital for at-least 5-7 days
Data challenge from Holmusk to compare the risk of bleeding between two treatments using EHR extracted data.
Deep Learning Methods for Chest X-ray Classification
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