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nishnarudkar/NeuroLynk-AI

An interoperable healthcare AI agent that screens for Parkinson's disease from speech biomarkers — producing explainable predictions, LLM-generated clinical summaries, and FHIR R4 DiagnosticReports in a single API call.

⚡ AI-using Python GitHub ↗

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SUMMARY AI summary by gpt-5-mini

NeuroLynkは、音声由来のバイオマーカーからパーキンソン病のスクリーニングを行う研究用AIエージェントです。主な利用者は医療AI研究者、開発者、ハッカソン参加者で、臨床診断支援を目的とした製品ではなく教育・実験用途です。単一のPOST /agent/screen呼び出しで753の音声特徴量を受け取り、三段階のエージェントが並列的に処理します：XGBoostによる確率予測とSHAPに基づく上位5特徴の寄与、LLMによる3–5文の臨床要約、FHIR R4準拠のDiagnosticReport（SNOMED CTを付与）。出力は予測値・説明・臨床要約・FHIRレポート・プラットフォーム向けpayloadとして同時返却され、セッションストアで管理。学習は特徴選択→標準化→不均衡対策→クロスバリデーション→MLflow登録で管理され、DVC/Dagshub、Docker、Jenkins等のMLOpsツールと連携。説明可能性（SHAP）、ドリフト監視や簡易UIも実装されています。

Language breakdown (by bytes)

CSS

14.8%

HTML

7.2%

Python

57.7%

Dockerfile

0.4%

JavaScript

10.3%

Jupyter Notebook

9.6%

Owner

Account

nishnarudkar

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User

Followers

Company

Ramrao Adik Institute of Technology

I am an undergraduate student in AIML currently in my 3rd year in Ramrao Adik Institute of Technology, D.Y.Patil University.

Dates

Created on GitHub	2026-05-08
Last push	2026-05-09
First seen here	2026-05-09
Last fetched	2026-05-09 14:19

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