Artwork
iconShare
 
Manage episode 504002358 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

A patient's record is a chaotic mix of notes, lab test results, and codes. We can navigate the mess, but how can an AI? The answer lies in data cleaning and preprocessing – the most critical, yet unglamorous, step in building medical AI.

This episode of The Health AI Brief explains why this process is like meticulously preparing ingredients for a complex recipe. We break down the key steps - from handling missing values to standardising formats, and offers three essential takeaways for appraising new AI studies and understanding why a tool that works in one hospital might fail in yours.

#DataCleaning #DataPreprocessing #DataScience #ArtificialIntelligence #MachineLearning #MedicalAI #HealthcareAI #ClinicalAI #DataQuality #DigitalHealth #HealthTech #CriticalAppraisal #ai in medicine Music generated by Mubert https://mubert.com/render

[email protected]

  continue reading

50 episodes