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Machine learning is extremely good at recognising patterns and I'd much rather trust an LLM's spotting accuracy for an early warning system than the regex code
by nisten 2y ago
Machine learning is extremely good at recognising patterns and I'd much rather trust an LLM's spotting accuracy for an early warning system than the regex code of hospital IT workers
- criley2 2y agoThis doesn't make sense on many levels. "Hospital IT" does not code the hospital EHR systems, just like the airport doesn't code flight management systems. These are life-long software engineers, just like others reading this comment, using the best tools at their disposal to engineer lifesaving software. They're not using "regex" to develop algorithms for monitoring patients (???), and frankly that suggestion is so wild that one has to assume you don't know anything about algorithm design at all. An LLM literally hallucinates incorrect answers by design and struggles to get extremely basic math and spelling correct. You're welcome to put your literal life in the hands of a hallucinating english generator, but when it comes to healthcare, I want a "0% LLM" policy. LLM's will be the cheap things that offer substandard care to poor people, while the wealthy and elite enjoy personalized and human-centered care.
- artfulmink 2y agoMachine learning is indeed extremely good at pattern recognition, but I wouldn't trust an LLM to reliably identify patterns, especially in a medical context. As other commenters have said, this article is evidence of classical methods continuing to be useful.
- jampekka 2y agoThis method has nothing to do with LLMs or even "deep learning" though.
- thenaturalist 2y agoThis sentence contains two diametrically opposed hypothesis. LLM's and accuracy in one sentence in the context of quantifying thresholds is stunning. LLM's don't have a concept of numerical accuracy.