Systems and methods for diagnosing a health condition based on patient time series data

US11972869B2 · kind B2 · utility

Assignee

• Anumana, Inc. · US

Inventors

• Tyler Wagner · Boston, US
• Murali Aravamudan · Berkeley Heights, US
• Melwin Babu · Thrissur, IN
• Rakesh Barve · Bengaluru, IN
• Venkataramanan Soundararajan · Andover, US
• Ashim Prasad · Kanchinakote, IN
• Corinne Carpenter · Cambridge, US
• Katherine Carlson · Cambridge, US

Key dates

• Filing date: Nov 1, 2023
• Grant date: Apr 30, 2024
• Expiry date: Nov 1, 2043

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B5/0245
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Disclosed systems, methods, and computer readable media can diagnose a health condition based on patient time series data. For example, a method for diagnosing a health condition based on patient time series data includes identifying a training set of health records comprising a first set of patient time series data, training a neural network using the training set of health records, and executing the trained neural network model to diagnose a health condition based on a second set of patient time series data. In further examples, the first set of patient time series data and the second set of patient time series data can each comprise electrocardiogram data and the health condition can comprise pulmonary hypertension.