There are 5 repositories under clinical-data topic.
A Deep Learning Python Toolkit for Healthcare Applications.
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) domains. This repository contains complementary tooling in support of that specification.
Open platform to manage and share standardized clinical data, designed by @ppazos at CaboLabs Health Informatics.
Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Toolkit for health AI implementation
Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016
🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
Code for "Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions" (NeurIPS 2022)
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.
General tutorials for the setup and use of MedCAT.
ICD_GEMs.jl is a Julia package that allows to translate ICD-9 codes in ICD-10 and viceversa via the General Equivalence Mappings (GEMs) of the International Classification of Diseases (ICD).
⛑ Code for "Metabolomic profiles predict individual multi-disease outcomes" ⛑
Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.
Standard health reference databases including units of measurement, biomarkers, medical codes, medications, side-effects, supplements, foods, ingredients, and more.
Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.
Data analysis produces data in the form of results. Although integrating and putting findings into context is a cornerstone of scientific work, data of this type is often neglected. The analysis results data model is a proposed solution to this issue that combines analysis standards with a common data model.
Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes
A Translator Query Language
Generate, manage and edit data and metadata files suitable for the import in cBioPortal for Cancer Genomics.
Analyzing clinical decision instruments through the lens of data and large language models.
Quality Improvement Core FHIR Profiles
❤️ GDCurer: An AI-assisted Drug Dosage Prediction System for Graves' Disease
FDSML Course Project 2020/21