A web application to find patients, build cohorts and visualize health records
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Updated
Jul 11, 2025 - TypeScript
A web application to find patients, build cohorts and visualize health records
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
A Snakemake workflow to process single samples or cohorts of Illumina paired-end sequencing data (WGS or WES) using trim galore/bwa/GATK4/parabricks.
Cohort graph (Cohort Analysis)
Flowchart is a STATA module/package that generates publication-quality Subject Disposition Flowchart Diagrams in LaTeX Format. This package generates PGF/TikZ code through texdoc, compiled in LaTeX to produce the diagram as a PDF. The final diagram is the same in style as ones used in the PRISMA Statement, CONSORT 2010 Statement, or STROBE State…
Custom Cohort Visualization based on Kibana NP
An R package for easy cohort analysis with event data
Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.
NHC: A computational approach to detect physiological homogeneity in the midst of genetic heterogeneity
Deciphering Bitcoin Blockchain Data by Cohort Analysis
The fastest way to make sense of a transaction log.
This repo is a code demo that implements a custom Customer Retention Analysis class with a number of helpful methods/functions to generate customer churn insights frequently used for marketing analytics to understand the growth and change of your customer base (new vs retained vs lost) .
This project uses Python and Jupyter Notebook to perform time-based Cohorts Analysis to assess and compare retention, order items quantity and order revenue of different customer cohorts.
A web-based visual analysis tool for creating and characterizing cohorts.
tPC - Causal discovery with temporal background
cohorts.py makes generating cohort analysis from raw data a magical experience
This project focus on customer analysis and segmentation. Which help to generate specific marketing strategies targeting different groups. RFM Analysis, Cohort Analysis, and K-means Clusters were conducted on a UK-based online retail transaction dataset with 1,067,371 rows of records hosted on the UCI Machine Learning Repository.
🫀 Webapp to explore cohorts metadata for the iCARE4CVD project
https://matthieuvion.github.io/lmd_viz/ 236k comments of Le Monde on Ukraine. A proxy to measure people' engagement. Semantic search & SBERT models testing via Sentence-Transformer / Faiss
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