MedidataVoice: Is Machine Learning the Next Big Thing In Healthcare?

By using the anchor variables for each item that needs to be predicted, the system will eventually learn the noise process from the latent variables (variables that are not directly observable), with the intent to eventually invert the process and undo the noise. Using this system, the assumption is that all of the anchor variables are conditionally independent from the other patient data. For instance, consider insulin as an anchor variable with diabetic patients. Whether it is or is not observed in a patient's medical records is unrelated to the other data observed for the patient.