Pinned Repositories
AIO-ML-NSQIP
anastomoticleak
FilesCombine will combine participant user file (PUF) and procedure targeted files for given years for the ACS NSQIP dataset using python
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
BMI_6016_Group_Project_NSQIP
cardiovascular_heart_disease
cardiovascular_heart_disease
CCS
R package with HCUP Clinical Classification Software (CCS) mapping to common diagnosis and procedure codes
CEA-ML-NSQIP
CEA-ML-VQI
Colorectal_Feature_Analysis
Predicting Length of Stay, Readmission and Mortality
colorectal_predictors
Code to accompany colorectal surgery outcome predictors manuscripts
Olayiwolabolaji's Repositories
Olayiwolabolaji/NSQIP_codes
Olayiwolabolaji/XGB-SHAP-EHR-EF
Additional information for "Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions"
Olayiwolabolaji/NSQIP
Code accompanying the paper "Deep Learning in Surgery - Assessing The Utility of Deep Neural Networks in Predicting Postoperative Surgical Complications: A Retrospective Study"
Olayiwolabolaji/cardiovascular_heart_disease
cardiovascular_heart_disease
Olayiwolabolaji/nsqip_emr
Crosschecking NSQIP registry versus EMR data
Olayiwolabolaji/CCS
R package with HCUP Clinical Classification Software (CCS) mapping to common diagnosis and procedure codes
Olayiwolabolaji/nsqip-1
We will be predicting readmissions of the patients.
Olayiwolabolaji/DLproj
Olayiwolabolaji/nsqipr
ACS-NSQIP analysis for a study of the "July Effect"
Olayiwolabolaji/stata-nrd-programs
STATA Code for Extracting NRD, Generating Readmissions Variable, Basic Models and Graphics
Olayiwolabolaji/MIMIC-nursing-note-sentiment
Using nursing note sentiment to predict mortality in ICU patients
Olayiwolabolaji/dsdht
Rscripts for Data Science Course at dsdht.wikispaces.com
Olayiwolabolaji/nsqiputils
Utility functions for working with the ACS NSQIP dataset using R.
Olayiwolabolaji/NSQIPageComplications
Analysis of surgical complications using the NSQIP data set