Web apps
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UMLS.me – extracts over 5.7M medical concepts and their Unified Medical Language System codes from free text, over the web
Text2Codes – extracts medical terms and physician fees from free text for billing purposes |
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DogBreed.io – identifies a dog breed in an image with 97% accuracy |
Competitions
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Hand written digit recognizer Top 2% Kaggle competition July 2018 |
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House prices prediction Top 3% Kaggle competition July 2018 |
Projects / Public Kernels
Machine Learning Primer for Clinicians
A series of articles on ML with no math and no programming, published on HIStalk blog
The paperback is now available on Amazon
- Introduction to ML
- Supervised Learning
- Unsupervised Learning
- How to Properly Feed Data to a ML Model
- How Does a Machine Actually Learn
- Artificial Neural Networks Exposed
- Controlling the Machine Learning Process
- Predict Hospital Mortality
- Predict Hospital Length of Stay
- Anomaly Detection in Antibiograms
- Basics of Computer Vision
- Identify Melanoma in Images
Tools
Python, Octave, Matlab, SciPy, Scikit learn, Pandas, Matplotlib, NumPy, TextRazor, Jupyter, RapidMiner, NLTK, Keras + TensorFlow
Image: Salvador Dali (1951): Raphaelesque Head Exploding
Updated October 20th, 2019
drscarlat@gmail.com