Provenience of discharge summaries
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Updated
Jul 12, 2023 - Python
Provenience of discharge summaries
Code going through Steyerberg's Clinical Prediction Models textbook (using mix of Python and R)
This project evaluates spatial and temporal correlation of UCSF antibiogram data
OG 2019 - Project 06: Machine learning for dementia clinical forecasting
Time-series Renal ENd-stage Decision-Assisting Learner
CureDAO is a decentralized alliance of individuals, government, businesses, and nonprofits devoted to the minimization of suffering.
Imputation algorithm capable of handling different types of missingness in clinical data (7th place solution for the Genentech 404 Challenge)
AI competition for predicting Lymph node metastasis of breast cancer
🔨 [UNDER DEVELOPMENT] A broad intro into scientific and mathematical computations in Python for data analysis, with recipes and short tutorials. Specific interests in pathophsyiology, comp bio, expression analysis, ethnography, clinical data, and GIS (for disparities research). Curated by @milodubois.
HEART DISEASE PREDICTION: Prediction of whether or not a patient had a heart disease using the Clinical parameters about a patient.
This project imports and analyzes demographic and Covid staging data for COVID-19 patients hospitalized at UTSW
Clinics management SaaS platform for LAMP servers
This project evaluates the relationship between Area Deprivation Index (ADI), clinical severity, length of stay (LOS), and readmission among COVID-19 patients at UCSF
Machine learning algorithm to predict the long-term adverse cardiovascular events following coronary artery bypass surgery (CABG)
BioFlowML is a machine-learning toolbox implementing workflows for generating classification models and identification of biomarkers using microbiome data or clinical metadata.
Analyzing TCGA cohorts and multiomic data in R
COVID-19 outcome prediction models based on machine learning algorithms. The unique feature is a custom cross-validation strategy based on the three clinical datasets of age- and gender-matched patients.
Skip-gram and FastText models to perform word embeddings for building a search engine for clinical trials dataset with a Streamlit user interface.
openEHR clinical models for screening of diabetes retinopaty
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