alistairewj/mimic-iv-aline-study

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alistairewj/mimic-iv-aline-study

alistairewj

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Replication of the arterial line study in MIMIC-IV

sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

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peak-detector

Multimodal peak detection using ECG, ABP, PPG or SV

mortality-prediction

Real time mortality prediction in the MIMIC-III database

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reproducibility-mimic

Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database

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mechanical-power

Study on mechanical power in MIMIC-III and eICU-CRD

tree-prediction-tutorial

Tutorial on prediction with medical data using tree based models

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challenge2012

Python code parsing data from PhysioNet Challenge 2012

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icu-model-transfer

Evaluating methods to improve model transfer for intensive care unit models

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bert-deid

deidentify patient notes using pre-trained BERT

pyroc

Calculate area under the ROC and p-values when comparing predictions

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cvpr-2021-cxr-tutorial

Tutorial introducing chest x-rays and challenges in building deep learning models with them

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model-perf-matlab

Calculate statistics evaluating the performance of binary or continuous predictions output from a model

mimic-analysis-template

A template for conducting an analysis in the MIMIC clinical databases

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auroc-matlab

Code to calculate the AUROC in MATLAB

oasis

Code for calculating the Oxford Acute Severity of Illness Score

process-biases-in-mimic

Evaluating biases in the healthcare process which impact results

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lecture-intro-to-nlp

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icu-care-value

To evaluate the value provided by ICU care across a decade of MIMIC data

pao2-fio2-prediction

Predict the PaO2/FiO2 ratio from non-laboratory derived data

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got-predictions

Making predictions about season 6 of Game of Thrones

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alistairewj.github.io

Personal website built using Hugo and based off the hugo-academic theme

chexpert-labeler

CheXpert NLP tool to extract observations from radiology reports.

install-sqlite-manager

Quick tutorial on installing SQLite manager

bert-deid-models

Trained models for use with bert-deid package

aki-progression-prediction

Predict progression of AKI from stage 1 to stage 3 in hospitalized patients

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