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Date: January 20, 2018
“The Stanford team’s AI algorithms rely upon deep learning, the popular machine learning technique that uses neural networks to filter and learn from huge amounts of data. The researchers trained a deep learning algorithm on the Electronic Health Records of about 2 million adult and child patients admitted to either the Stanford Hospital or Lucile Packard Children’s hospital to predict the mortality of a given patient within the next three to 12 months. (Predicting the death of a patient within three months would provide too little time for the preparations needed in palliative care.) ”We could build a predictive model using routinely collected operational data in the healthcare setting, as opposed to a carefully designed experimental study,” says Anand Avati, a PhD candidate in computer science at the AI Lab of Stanford University. “The scale of data available allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific.” Not sure how I feel about “HAL’s opinion, on when it’s time to pull the plug…on me!…” |
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Stanford’s AI Predicts Death for Better End-of-Life Care…
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