I am working with data that requires classifying if a patient will develop cancer or not in the future, based on medical tests done over time. The tests have a sequential relationship. A, then B, then C, etc. For example:
| Patient ID | Test ID | RBC Count | WBC Count | Label
| 1 | A | 4.2 | 7000 | 0
| 1 | B | 5.3 | 12000 | 0
| 1 | C | 2.4 | 15000 | 1
| 2 | A | 7.6 | 8000 | 0
| 2 | A | 7.4 | 7500 | 0
Each point is not taken at a regular time interval, so this may not be considered a time-series data. I have tried to aggregate features and use ensemble methods like Random Forests. Can I apply RNN? If so, how? Or other methodologies?