Healthcare Fraud Detection Data Framework — six-stage claims pipeline with YAML rule engine, IQR anomaly detection, and weighted risk scoring. Based on IJCET 2025.
Tracking just started for Sunil-Kumar-Mudusu/healthcare-fraud-detection-data-framework. Cross-source signals (mentions, momentum, deltas) will populate on the next collector tick — usually within an hour.
Coverage1 / 13 sources fired (7d)
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// WHY · ORGANIC
Sunil-Kumar-Mudusu/healthcare-fraud-detection-data-framework sits at 7 GitHub stars with steady Python traction — organic growth keeps it on the trending list.
* Reddit bar shows a per-repo velocity proxy (raw score / 100); the score formula uses the corpus-normalized version so a single repo's bar may not match its contribution to the corpus-wide ranking.
// PROJECT SURFACE MAP · ENTITY LINKSSURFACES ONLY
// last scanreddit 26m·hn 46m·bluesky 38m·devto 26m·ph 2h·npm 2h
No mentions on this channel in the last 7 days.
// QUIET HERE DOESN'T MEAN THE REPO IS DEAD — CHECK OTHER TABS
// 04
Context
Organization · related repos
// ORGANIZATION · SUNIL-KUMAR-MUDUSU
Sunil Kumar Mudusu
Sunil-Kumar-Mudusu·USER
Lead AI Engineer and Data Engineer | Real-Time Pipelines, Automation, Analytics, and AI Solutions | IEEE Senior Member | Author | Speaker | Mentor | Judge.