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Machine Learning and Medicine, by Rachel Draelos, MD, PhD

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Date: March 30, 2019Author: Rachel Draelos, MD, PhD

Published by Rachel Draelos, MD, PhD

I have an MD and a PhD in Computer Science from Duke University. My research focuses on machine learning methods development for medical data. I am passionate about explainable AI for healthcare. View all posts by Rachel Draelos, MD, PhD

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2d 3d abdomen anatomy artificial-intelligence attention auc auprc auroc averageprecision backpropagation chest chest-x-ray classification cnn code covid19 crossentropy ct-scan data-processing data-representation dataset delong dermatology DICOM dimension disease dna ehr gpu gradcam heart heatmap labeling labs likelihood lungs medical-notes medication memory mlp neuralnetwork nlp nodule numpy oop padding pathology performance-metric pneumonia procedure proteomics python pytorch radiology regression regularization reports rna rules saliency sarle segmentation sensitivity sigmoid softmax specificity torchsummary torchvision transcriptomics transformer tutorial unet vision x-ray

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