))
#01 Natural Language Processing for Healthcare - Named Entity Recognition
Manage episode 428686728 series 3585389
Το περιεχόμενο παρέχεται από το Dev and Doc. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Dev and Doc ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
In this episode we explore named entity recognition (NER) and its uses in clustering 1 million hospital inpatients, monitoring pandemics and outbreaks, automating clinical coding, enriching research cohorts, and more.
Dev&Doc is a podcast where doctors and developers deep dive into the potential of AI in healthcare.
👨🏻⚕️Doc - Dr. Joshua Au Yeung
🤖Dev - Zeljko Kraljevic
LinkedIn Newsletter
YouTube
Spotify
Apple
Substack
For enquiries - 📧 Devanddoc@gmail.com
Timestamps:
00:00 Start
00:38 Intro
01:03 Setting the scene, clinical audit
03:13 What is Named Entity Recognition (NER)
14:59 Medical text as its own language
16:43 Medical abbreviations test
19:23 NER in different industries
21:55 NER with neural networks, deep learning, large language models
24:25 MedCAT medical concept annotation tool
25:50 When AI models go wrong, women get erectile dysfunction
28:20 Teaching a model to disambiguate
31:12 NER use case 1 - Clinical audit
33:04 How to fine tune a clinical model with clinician knowledge
36:07 NER use case 2 - Automating clinical audits
37:13 Why is NER not being used in the NHS? Windows XP
40:19 NHS is resistant to change
42:15 NER use case 3 - Enriching research databases
44:57 Which model should I use?
47:02 NER use case 4 - Extracting diseases from 1 million patients in King's College Hospital
52:05 Clustering 1 million patients with AI
55:14 Top 10 diagnoses in South London
58:45 Diseases by age in MIMIC dataset
1:01:27 Monitoring pandemic outbreaks
1:04:30 Predicting the future with Foresight
References:
Using machine learning for automated auditing of stroke comorbidities
Hospital-wide natural language processing summarising the health data of 1 million patients
🎞️ Editor - Dragan Kraljević
🎨 Brand design and art direction - Ana Grigorovici
24 επεισόδια
Μοίρασέ το
