BLEEDING PREDICTIONS FOR HEMOPHILIA A PATIENTS USING MACHINE LEARNING

Thrombosis & Hemostasis Societies of North America (THSNA)

Key Results: Results suggest MicroHealth ML methods are good at predicting bleeding events.

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DIGITAL MONITORING OF SERIOUS ADVERSE EVENTS SIGNALS IN PATIENTS WITH BLEEDING DISORDERS

Thrombosis & Hemostasis Societies of North America (THSNA)

Results suggest this MicroHealth methodology engages patients and can potentially scale nationwide in a more cost-effective way than traditional methods.

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A THEORETICAL MODEL TO PREDICT THE REAL WORLD EFFECTIVENESS OF CLOTTING FACTOR

American Journal of Hematology

Key Results: Our model predicts that, ceteris paribus, EHL would be linked to fewer bleeds than CHL drugs

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FEASIBILITY OF DIGITAL MONITORING OF PHYSICAL ACTIVITY VIA APP QUESTIONNAIRES IN PATIENTS WITH BLEEDING DISORDERS

Thrombosis & Hemostasis Societies of North America (THSNA)

Results suggest it is feasible to collect physical activity data directly from bleeding disorder patients without either compensation or significant training.

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