We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

We use machine learning to better characterize low-value health care and the decisions that
produce it. We focus on costly tests, specifically for heart attack (acute coronary syndromes) …

A disease cannot be treated if it is not diagnosed. We study the physician's decision of when
and whom to test, a key part of the diagnostic process. To do so, we create algorithmic …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …