I’m curious if anyone has done work related to this.
I have a tabular dataset of worksite injuries, that includes some background information (company/datetime/location/weather/etc). However, this data only includes positive examples (occurrences of incidents). It would be interesting to try and predict the probability of imminent injury with future non-incident data.
I was considering possibly trying an autoencoder and measuring reconstruction error. Is anyone aware of approaches for this category of modeling problems?