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ML is not in a state to be of much use in this context. Source: me, I work as a data scientist to apply ML and other techniques, with claims, EHR, and a bunch o
by sidlls 7y ago
ML is not in a state to be of much use in this context. Source: me, I work as a data scientist to apply ML and other techniques, with claims, EHR, and a bunch of other data, specifically for the purpose of identification of conditions, effectiveness of treatments and non-medical intervention. The tech world is very much in a condition of being unjustifiably arrogant about its ability to solve problems in this space. The problems are very hard, and the answers aren't gonna be found by some egotistical software eng who tries to shift his toy kaggle crap into this space, or the kinds of startups that are built up around that kind of thinking.
- drcode 7y agoI kind of agree- A rigorous solution to this problem would probably involve running large numbers of (human?) cell cultures with deep analysis fed through ML systems. i.e. we first need to have a full understanding of cell chemistry/physiology and then scale it up to larger organs and the whole human organism.