Tree-based data exploration methods and data-driven protocols

A tree-based predictive model using machine learning optimizes VAD treatment plans for cardiovascular diseases by considering patient-specific factors and real-time data, enhancing treatment effectiveness and survival rates.

JP7877389B2Active Publication Date: 2026-06-22ABIOMED INC
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
ABIOMED INC
Filing Date
2024-05-30
Publication Date
2026-06-22

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Abstract

To provide a treatment recommendation to a physician for treating a patient.SOLUTION: A method comprises determining, from a processor in communication with a patient data repository, a first treatment recommendation based on a combination of selected patient backgrounds from the patient data repository applicable to the patient, and operational parameters of a plurality of ventricular assist devices (VADs) suitable for treating the patient, the first treatment recommendation having a first survival rate and comprising the use of a first VAD. The method comprises then obtaining a first signal from the use of the first VAD on the patient. The method comprises then determining a second treatment recommendation based on the first signal and the first treatment recommendation, the second treatment recommendation having a second survival rate. The method comprises then providing the second treatment recommendation to the physician if the second survival rate is higher than the first survival rate.SELECTED DRAWING: Figure 1
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