A web application to find patients, build cohorts and visualize health records
-
Updated
Nov 15, 2024 - TypeScript
A web application to find patients, build cohorts and visualize health records
A fast python implementation of the SimHash algorithm.
Runs CQL phenotype definitions against an OMOP repository
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Cohort analysis is a study that focuses on the activities of a particular cohort. A cohort is a group of people who share a common characteristic over a certain period of time.
Understanding the association between self-reported healthcare disruption due to COVID-19 and avoidable hospitalisation
Table of Contents
example of tasks for job applying
Ephemerant is a Zero-Knowledge primitive for connecting users in ephemeral cohorts based on common behaviour. It is anonymous, opt-in, and fully-decentralized.
Cohorts Analyze_and_Predictions Ideas
Customer behaviour analysis for Ironhack Payment, a financial services provider, to uncover insights into retention, revenue trends, and transaction success. Using Python, Pandas, and Plotly, I created cohort-based views that highlight customer lifecycle patterns and seasonal trends to support strategic growth.
Comparing the burden of long COVID in the community as measured by self-report and electronic health records: a study by the CONVALESCENCE consortium
Add a description, image, and links to the cohorts topic page so that developers can more easily learn about it.
To associate your repository with the cohorts topic, visit your repo's landing page and select "manage topics."