Empower Healthcare with
Predera AI

Block

Health Records

Making healthcare more accurate & affordable

Process health data with ethical guidelines

Health data with ethical guidelines

Health Records

Predict Sepsis, Asthma, Re-admit with high accuracy.

Health Prediction

Predict Sepsis, Asthma, Re-admit with high accuracy.

Health Prediction

Power doctors with automatic patient analytics

Health Monitor

Power doctors with automatic patient analytics.

Health Monitor

DataSet

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Our Computational Phenotyping identifies patient from variety of data sources like EHR, clinical data, lab results etc., apply NLP, process medical data using Spark & Nifi and stores in Azure File Storage

EHR | MIMIC III | Clinical Data

Medical Data Sets

Prediction

MODEL DEVELOPMENT
We explore different classifiers like Logistic Regression, Random Forest, SVM classifier etc., and implemented ML models using scikit-learn

We explore different classifiers like Logistic Regression, Random Forest, SVM classifier etc., and implemented ML models using scikit-learn

CONTINUOUS IMPROVEMENT
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.

Our algorithm not only provides highly accurate predictive risk scores for patients but also highlights leading factors for such diagnosis.

Prediction
Asthma | Sepsis | Re-Admission

Asthma | Sepsis | Re-Admit Predictions

Analytics

Predera Healthcare Analytics

Real-time data analytics predicting trends for better patient care

Block

Radiology, Pathology, Pharma

Remote Health Monitoring

Bed-Side Point of Care

Empower Healthcare withPredera AI

MODEL DEVELOPMENTWe explore different classifiers like Logistic Regression, Random Forest, SVM classifier etc., and implemented ML models using scikit-learn

CONTINUOUS IMPROVEMENTWe 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.

Empower Healthcare with
Predera AI

MODEL DEVELOPMENT
We explore different classifiers like Logistic Regression, Random Forest, SVM classifier etc., and implemented ML models using scikit-learn

CONTINUOUS IMPROVEMENT
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.