Systems and methods using ensemble machine learning techniques for future event detection

US11195616B1 · kind B1 · utility

Assignee

• Stasis Labs, Inc. · US

Inventors

• Dinesh Seemakurty · Irving, US
• Michael Andrew Maylahn · Los Angeles, US
• Mark W. Davis · New Smyrna Beach, US
• Roheet Bantval Rao · Bengaluru, IN
• Aditya Patel · Jabalpur, IN
• Izzatbir Singh · Nakodar, IN
• Aashay Sachdeva · Sidhauli, IN

Key dates

• Filing date: Oct 15, 2020
• Grant date: Dec 7, 2021
• Expiry date: Oct 15, 2040

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B5/0816
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Disclosed herein are platforms, systems, devices, software, and methods for processing and analyzing real-time data to generate predictions of near future events. Machine learning algorithms can be configured for varying levels of aggression to enhance timeliness of the predictions. Ensemble machine learning techniques combining a plurality of trained models configured with higher and lower aggression levels can be used to improve both timeliness and accuracy.