{"repo":"dermatologist/fhiry","free":true,"listed":false,"github":"https://github.com/dermatologist/fhiry","clone":"git clone https://github.com/dermatologist/fhiry.git","description":"FHIR to pandas dataframe for data analytics, AI and ML!","language":"Jupyter Notebook","stars":50,"topics":["fhir","tensorflow","pytorch","pandas","ehealth","hacktoberfest","data-analysis","data-science","jupyter-notebook","python"],"license":"MIT","category":"machine-learning","readme_excerpt":"🔥 fhiry — FHIR to Pandas DataFrame for Data Analytics, AI, and ML FHIRy is a Python package that simplifies health data analytics and machine learning by converting FHIR bundles or NDJSON files from bulk data export into pandas DataFrames. These DataFrames can be used directly with ML libraries such as TensorFlow and PyTorch. FHIRy also supports FHIR server search and FHIR tables on BigQuery. --- ✨ Features - Flatten FHIR Bundles/NDJSON to DataFrames for analytics and ML - Import from FHIR Server via FHIR Search API - Query FHIR Data on Google BigQuery - LLM-based Natural Language Queries (see examples/llm example.py) - Flexible Filtering and Column Selection --- 🔧 Quick Start Installation Stable release: Latest development version: LLM support: --- Usage 1. Import FHIR Bundles (JSON) from Folder Example dataset: Synthea Notebook: notebooks/synthea.ipynb --- 2. Import NDJSON from Folder Example dataset: SMART Bulk Data Server Notebook: notebooks/ndjson.ipynb --- 3. Import FHIR Search Results Fetch resources from a FHIR server using the FHIR Search API: See fhir-search.md for details. --- 4. Import from Google BigQuery FHIR Dataset --- 🚀 5. LLM-based Natural Language Queries FHIRy supports natural language queries over FHIR bundles/NDJSON using llama-index: See usage: examples/llm example.py --- 🚀 6. Convert FHIR Bundles/Resources to Text for LLMs Convert a FHIR Bundle or resource to a textual representation for LLMs: --- Filters and Column Selection You can pass a config ","default_branch":null,"files":null,"tree":[],"storefront":"/r/dermatologist","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dermatologist/fhiry/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}