There are 6 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 đ 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 Alzheimerâs 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.
Toolkit for evaluating and monitoring AI models in clinical settings
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
đ§ŞYet 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
A web application to find patients, build cohorts and visualize health records
Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
General tutorials for the setup and use of MedCAT.
Code for "Retrieve, Reason, and Refine: Generating Accurate and Faithful Discharge/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.
â Code for "Metabolomic profiles predict individual multi-disease outcomes" â
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).
R package to fetch and explore clinical trials data from freely available registries. Fetch data in bulk, customize data and build comprehensive html reports. Currently, it supports the ClinicalTrials.gov registry and CTTI AACT (Access to Aggregate Content of ClinicalTrials.gov).
Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.
FDSML Course Project 2020/21
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.
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.
Generate, manage and edit data and metadata files suitable for the import in cBioPortal for Cancer Genomics.
A Translator Query Language
A clinical terminology annotation dashboard created using Plotly Dash & the MIMIC-IV database.
Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes
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