[kosh2]

I agree with many posters in here, that the cause will likely be bad data one way or another. Maybe we need to take a step back and only use data, that are almost 100% accurate.

Like the time of death after the data was collected.

If a model could with a high accuracy predict, that a patient will die within X days (without proper treatment), it will be already very valuable.

Second, as Sora has shown, going multi model can have amazing benefits.

Get a breath analysis of the patient, get a video, get a sound recording, get an MRI, get a CT, get a full blood sample and then let the model do its pattern finding magic.