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https://github.com/dermatologist/dermatologist

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https://github.com/dermatologist/dermatologist

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Bell Eapen - Physician into machine learning and AI

**Machine Learning** & **AI** on **FHIR**, **OSCAR**, **OpenMRS** & **OHDSI**

Recent Projects!



* [Template for multi-modal machine learning in healthcare using Kedro](https://github.com/dermatologist/kedro-multimodal)
* [Collaboratively write journal papers or thesis in MS-Word and compile it to LaTeX using any template.](https://github.com/dermatologist/journal-paper-thesis-word-to-latex)
* [Pyomop - Python package for managing OHDSI clinical data models.](https://github.com/dermatologist/pyomop)
* [Fhiry: FHIR -> pandas.dataframe for AI and ML](https://github.com/dermatologist/fhiry)
* [FHIRFormJS: NPM module to convert FHIR Questionnaire JSON to JSON Schema for form rendering](https://github.com/dermatologist/fhirformjs)
* [QRMine: Qualitative Research support tools in Python](https://github.com/dermatologist/nlp-qrmine)
* [omopfhirmap: command-line tool for OMOP CDM <-> FHIR mapping](https://github.com/dermatologist/omopfhirmap)
* [ckblib: Tools to create a clinical knowledge graph from biomedical literature](https://github.com/dermatologist/ckblib)



Issues that need help! 🧑‍🔧





* [Support for LLM based FHIR flattening](https://github.com/dermatologist/fhiry/issues/122)
* [UMLSjs authentication method upgrade](https://github.com/dermatologist/umlsjs/issues/155)
* [Failed update hapi-fhir to > 5 #49](https://github.com/dermatologist/fhirql/issues/49)

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Recent blog posts



Loading MIMIC dataset onto a FHIR server in two easy steps




R&D and Innovation in IT; to or not to combine both




Locally hosted LLMs




Come, join us to make generative AI in healthcare more accessible!




Why is RAG not suitable for all Generative AI applications in healthcare?




Grounding vs RAG in Healthcare Applications




To or not to LangChain




Translational Research in Digital Health and Gen AI




Architecting LLM solutions for healthcare – Part II




Navigating the Complexities of Gen AI in Medicine: 5 Development Blunders to Avoid






Into health IT? Let's connect!