I need your help with time series classification. I have measurements of different medical parameters for patients captured at every one hour. The output label is whether the patient has Acute Kidney Injury(AKI) or not. Based on the first 12 hour data, we should find out whether the patient has the risk of suffering from AKI or not (After 12 hours). I guess this falls under classification approach (Sequence Classification). However I have only one label (AKI == 0). So should this be considered as Anomaly detection in Time series or Sequence classification? Since I have more than 100 patients data for 12 hour (100 * 12 datapoints with multiple input variables), how do I retain the time factor? As there is only one class, how do I do the training? I am quite stuck as I am quite new to this area. Can you please share your insights/ guide me as to how to approach this problem/direct me to the appropriate resource/sample project?