I have the following time-series features: Diastolic Blood Pressure, Systolic Blood Pressure, Heart Rate, RR variability and Arterial Blood Pressure. Each of these clinical parameters was measured for 900 seconds during a surgical procedure and after the surgery, the patient was assessed for acute kidney injury: 1(yes) or 0(no).
My training data kind of looks like this: (see below for screenshot)
Patient 1 Time(s) Features AKI
Patient 2 Time(s) Features AKI
and so on.
What approach would I take to utilize this data for the binary classification task?