We explore different classifiers like Logistic Regression, Random Forest, SVM classifier etc., and implemented ML models using scikit-learn
We continuously improve our model with different scorings like SAPS II "Simplified Acute Physiology Score" and LACE scoring for readmission rate. Our Human-in-loop ability in ML model takes in physician review towards model improvement
OUR AI BENEFITS
Our algorithm not only provides highly accurate predictive risk scores for patients but also highlights leading factors for such diagnosis.
Asthma | Sepsis | Re-Admission
We are here to truly “democratize AI”. Machine learning companies today have been focused on helping with building AI models, but in order to truly democratize AI and make it truly accessible to everyone, companies need to be ready to also ‘manage’ AI, not just build it. The AI talent gap is real, and we will help address it by reducing the dependence of expert engineers in managing AI systems.