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/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Olayiwolabolaji/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Olayiwolabolaji/Interpretable-Machine-Learning-with-Python-2E
Interpretable ML with Python, 2E - published by Packt
Olayiwolabolaji/AIO-ML-NSQIP
Olayiwolabolaji/echo-severe-AS
Olayiwolabolaji/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
Olayiwolabolaji/CEA-ML-VQI
Olayiwolabolaji/LEO-ML-NSQIP
Olayiwolabolaji/nsqipr-1
A cleaner NSQIP.
Olayiwolabolaji/CEA-ML-NSQIP
Olayiwolabolaji/nsqip_ibd_ic
Olayiwolabolaji/NSQIP_Reintubation
Code for JCMC publication that resulted from UVM B.Sc. thesis work (doi: 10.1007/s10877-022-00908-z).
Olayiwolabolaji/colorectal_predictors
Code to accompany colorectal surgery outcome predictors manuscripts
Olayiwolabolaji/m1-machine-learning-test
Code for testing various M1 Chip benchmarks with TensorFlow.
Olayiwolabolaji/MBSAQIP_READMISSION
Using ML to predict readmission following bariatric surgery
Olayiwolabolaji/BMI_6016_Group_Project_NSQIP
Olayiwolabolaji/Ortho_ML
Source code for using NSQIP data to generate XGBoost models to predict discharge destination following Total Knee Arthroplasty (TKA) and Total Hip Arthroplasty (THA)
Olayiwolabolaji/Fascial_Dehiscence
Python code to evaluate NSQIP outcomes data to predict fascial dehiscence following exploratory laparotomy (CPT 49000) using XGBoost.
Olayiwolabolaji/nsqip_procedurespecific
Predict procedure specific outcomes from the NSQIP database using neural networks and logistic regression
Olayiwolabolaji/NRD_ribfx_readmission
Evaluating the readmission burden of rib fractures among older adults using the 2017 National Readmissions Database
Olayiwolabolaji/va_frailty_index
Olayiwolabolaji/nsqipBileSpill
Propensity score matched analysis of bile spillage in the NSQIP database.
Olayiwolabolaji/ML_Refinement
Machine Learning Refinement of the American College of Surgeons NSQIP Risk Calculator
Olayiwolabolaji/ecg_ai
Data processing scripts for ECG-AI
Olayiwolabolaji/ECG-DualNet
Olayiwolabolaji/runway
Visualizing Prediction Model Performance
Olayiwolabolaji/anastomoticleak
FilesCombine will combine participant user file (PUF) and procedure targeted files for given years for the ACS NSQIP dataset using python
Olayiwolabolaji/UCSD_NRD_2017
Develop and externally validate novel, simplified, easy-to-understand, point-of-care models built on readily available administrative claims data to accurately identify patients with IBD at risk for becoming high-need, high cost (HNHC) utilizing Python, Machine Learning, Pandas, NumPy, Matplotlib, and scikit-learn libraries.
Olayiwolabolaji/readmission-risk
30-day patient readmission model, developed in collaboration with Sutter Health.
Olayiwolabolaji/Colorectal_Feature_Analysis
Predicting Length of Stay, Readmission and Mortality