CASE STUDY

HEALTHCARE

  1. Sriya-AI algorithms analyze large volumes of patient data and identify patterns.
  2. Dataset contains 101,766 records with 33 categorical and 14 numerical features.
  3. Sriya-AI algorithms achieve average accuracy of 85% – 90%.
  4. Sriya-AI helps to identify features that determine readmission rate and predict high-risk patients.