2 ms·
I think there are some folks at UCSB that are working on modeling the health state of trauma patients' based on incomplete and noisy data. Pretty fascinating st
by bglazer 10y ago
I think there are some folks at UCSB that are working on modeling the health state of trauma patients' based on incomplete and noisy data. Pretty fascinating stuff. I'm mostly familiar with it from talking to Dr. Bernie Daigle at the University of Memphis.
I'm curious, since you have a background in fraud detection, are there parallels or insights you brought to healthcare from that area? I'm currently working in fraud detection, and I'd like to move to healthcare.
Also, what are your thoughts on operations research for healthcare? That is, not modeling individual health of patients, but instead improving scheduling or other operational aspects of a hospital or clinic.
- brandonb 10y agoThere are lots of parallels to fraud detection! Label imbalance is the obvious one: in both cases, you're looking for the proverbial needle in the haystack, so techniques like anomaly detection or unsupervised learning are really important. I haven't given much thought to the operations research side of things. I think what I'd ask about any idea there are the same ones I'd ask about any B2B business: first, what's the hard ROI for the customer? How can you measure it? If you succeed, what makes this defensible over time?