In the mid-1990s, a group of software developers applied the latest computer learning to tackle a problem that emergency-room doctors were routinely facing: which of the patients who showed up with pneumonia should be admitted and which could be sent home to recover there? An algorithm analyzed more than 15,000 patients and came up with a series of predictions intended to optimize patient survival. There was, however, an oddity—the computer concluded that asthmatics with pneumonia were low-risk and could be treated as outpatients. The programmers were skeptical.
Source: Wall Street Journal October 25, 2020 20:48 UTC