Predictive Health Engine

The Predictive Health Engine is a machine learning-based analytics tool developed by Mahalo Health, designed for digital health organisations seeking to detect and predict diseases at scale. It is intended for use by clinicians, researchers, and digital health teams who want to move beyond reactive annual checkups and instead track patient lifestyle habits and biomarkers over time to identify conditions at earlier, more treatable stages.

The engine combines machine learning with rules-based algorithms to identify disease patterns and recommend treatment plans. It functions by comparing individual patient health data logged on the Mahalo Unified Data Platform against population-level data from patients who have contracted specific diseases, building models for predicting and diagnosing health conditions without requiring dedicated research infrastructure.

Starting with Known Health Outcomes

• Use existing data from studies or digital therapies as a starting point
• Identify patients who have received a clinical diagnosis of a disease
• Incorporate disease progression data where available
• Create a comparative patient population of individuals who do not have the disease

Generating Detection and Prediction Models

• Build models using both positive and negative patient cases
• Apply controls for false positive and false negative cases
• Run algorithms against patients not included in the training dataset
• Confirm model accuracy through clinic visits used for disease screening
• Repeat the process iteratively to improve accuracy over time

Production Deployment Compared to R

• R is suitable for developing models but cannot be used to build production machine learning applications
• Mahalo allows users to design and run production models within a single platform
• Data collection, modelling, and analysis are handled in one place, reducing time to market

The Predictive Health Engine operates as part of Mahalo's broader Unified Data Platform. The platform references compliance with HIPAA, GDPR, ISO standards, and Good Clinical Practice (GCP), and includes security and responsible disclosure policies relevant to healthcare data environments.