Day 4 – Turn Messy Transcripts Into Healthy Data Using OpenAI API
Want to turn loads of messy Transcripts Into Healthy Data Without manual efforts? Lets Automate It Using OpenAI API . Building upon function calling, this tutorial shows how to extract key details such as age, and symptoms from medical transcripts using Python. This real-world **generative ai** application demonstrates how to create structured **patient data** from unstructured text, a crucial application of **natural language processing**. By using **openai** you can make data extraction smarter and more efficient.
Complete Playlist -
https://www.youtube.com/playlist?list=PLLqmi_UARmfmgRzl78qak_69Tt5wkVhpj
🚀 Source Code:
🔗 GitHub - Medical Transcript Extraction Notebook
https://github.com/LearningMilestone/openaiapps/blob/main/read_medical_transcription.ipynb
🔍 What You’ll Learn:
How to use OpenAI’s function calling to extract structured information from unstructured medical transcripts
Creating schema to extract:
Patient name & age
Symptoms
Medications
Diagnosis and more
A practical use case of medical NLP for healthcare automation
🛠️ Tools & Libraries Used:
OpenAI GPT-4 (Function Calling)
Python
📦 Who Is This For?
Healthcare AI developers
Medical NLP enthusiasts
Beginners exploring GPT's function calling
Students building real-world AI projects
📈 Keywords:
#OpenAI #FunctionCalling #MedicalNLP #HealthcareAI #GPT4 #PythonAI #MedicalTranscripts #GenerativeAI #AIinHealthcare #ExtractMedicalData #GPTFunctionCalling #EMRAutomation #MedicalAI #BeginnerAIProject #NLPHealthcare
Want to turn loads of messy Transcripts Into Healthy Data Without manual efforts? Lets Automate It Using OpenAI API . Building upon function calling, this tutorial shows how to extract key details such as age, and symptoms from medical transcripts using Python. This real-world **generative ai** application demonstrates how to create structured **patient data** from unstructured text, a crucial application of **natural language processing**. By using **openai** you can make data extraction smarter and more efficient.
Complete Playlist –
https://www.youtube.com/playlist?list=PLLqmi_UARmfmgRzl78qak_69Tt5wkVhpj
🚀 Source Code:
🔗 GitHub – Medical Transcript Extraction Notebook
https://github.com/LearningMilestone/openaiapps/blob/main/read_medical_transcription.ipynb
🔍 What You’ll Learn:
How to use OpenAI’s function calling to extract structured information from unstructured medical transcripts
Creating schema to extract:
Patient name & age
Symptoms
Medications
Diagnosis and more
A practical use case of medical NLP for healthcare automation
🛠️ Tools & Libraries Used:
OpenAI GPT-4 (Function Calling)
Python
📦 Who Is This For?
Healthcare AI developers
Medical NLP enthusiasts
Beginners exploring GPT’s function calling
Students building real-world AI projects
📈 Keywords:
#OpenAI #FunctionCalling #MedicalNLP #HealthcareAI #GPT4 #PythonAI #MedicalTranscripts #GenerativeAI #AIinHealthcare #ExtractMedicalData #GPTFunctionCalling #EMRAutomation #MedicalAI #BeginnerAIProject #NLPHealthcare
