109 skills found · Page 4 of 4
mims-harvard / CLEFControllable Sequence Editing for Counterfactual Generation
WorldVistA / VistA FHIR Data LoaderMUMPS/UI components for creating synthetic patient data from Synthea and loading the generated FHIR patient data to VistA EHR
aim-ahead / MIMIC IV Data PreparationTutorial on processing raw EHR data with MIMIC-IV dataset
luoyuanlab / 3dmiceMissing data imputation for longitudinal multi-variable EHR data. Paper in JAMIA.
jmandel / Synthea To BigqueryTool to generate synthetic EHR data via Synthea and load into BigQuery
Endava / Endava Hl7fhir OpenapiThis repo contains demonstration code to illustrate the use of the FIHR standard for healthcare data, developed by the HL7 organisation.
sumaiya08 / Clinical Decision SupportThe aim of the project is to predict the mortality, disease progression and remaining length of stay in the ICU based on patients' admission EHR data. This will give hospitals advanced notice on the needs of their patients, and help physicians make safer decisions for their high-risk patients.
wahidulalamriyad / Oxford Machine Learning Summer SchoolML x Health consists of Bayesian ML, Representation Learning, Graph Neural Networks, Computer Vision, Knowledge Graphs, Knowledge-Aware ML, Symbolic Reasoning, Neuro-Symbolic AI, EHR, Imaging, Genomics, and Multi-Omics. ML x Finance consists of Gaussian Processes, Time Series, Multi-Lingual NLP, Reinforcement Learning, Building Market Simulators, Trading, Asset Management, Financial Inclusion, ESG, Emerging Risks, and Economic Prosperity. Achievement - Completing all tasks before the deadline with 100% output and achieving the Certificate of Completion. Health and Finance Tracks were crucial in completing the MSc Data Science Final Year Dissertation.
duzhewang / Missing Data In EHRMissing data/longitudinal data analysis/Latent class analysis/Bayesian Methods
SHARP-HTP / Qdm PhenotypingDrools-based rule engine to enable clinicians and investigators to identify patient cohorts using electronic health record (EHR) data by leveraging informatics-based phenotyping processes.
HowieHsu0126 / AwesomeEHRAwesomeEHR is an open-source PostgreSQL collections designed to streamline the extraction and analysis of Electronic Health Records (EHR) data from MIMIC-IV and eICU-CRD, with a particular focus on ICU critical conditions.
mayawar88 / Blockchain ProjectRecent years have witnessed a paradigm shift in the storage of Electronic Health Records (EHRs) on mobile cloud environments, where mobile devices are integrated with cloud computing to facilitate medical data exchanges among patients and healthcare providers. This advanced model enables healthcare services with low operational cost, high flexibility, and EHRs availability. However, this new paradigm also raises concerns about data privacy and network security for e-health systems. How to reliably share EHRs among mobile users while guaranteeing high-security levels in the mobile cloud is a challenging issue. In this paper, we propose a novel EHRs sharing framework that combines blockchain and the decentralized interplanetary file system (IPFS) on a mobile cloud platform. Particularly, we design a trustworthy access control mechanism using smart contracts to achieve secure EHRs sharing among different patients and medical providers. We present a prototype implementation using Ethereum blockchain in a real data sharing scenario on a mobile app with Amazon cloud computing. The empirical results show that our proposal provides an effective solution for reliable data exchanges on mobile clouds while preserving sensitive health information against potential threats. The system evaluation and security analysis also demonstrate the performance improvements in lightweight access control design, minimum network latency with high security and data privacy levels, compared to the existing data sharing models
theislab / Ehrapy DatasetsA collection of scripts to generate AnnData objects of EHR datasets for ehrapy
o0windseed0o / Asthma Predictiona deep learning-based predictive model used to predict the risk of asthma exacerbation among asthma patients according to a history of EHR data
cwlgadd / FastEHRData pre-processing backbone for EHR and epidemiology research.
EternityYW / FairEHR CLPOfficial implementation of "FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records" (MLHC 2024)
jameszhou-gl / HiSGTCode for ECAI'25-Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer
cdcai / Premier AnalysisPredicting Multisystem Inflammatory Syndrome in Adults (MISA) among COVID-19 patients in EHR data using machine and deep learning
smart-on-fhir / Smart FetchExtract FHIR data from your EHR easily and completely
AMPATH / Clinical Prediction Ml ModelsThe main objective of this project is to predict clinical outcomes using EHR Data and modern ML/AI
