General Electric Company

Other

Viswanath Avasarala

Piero Patrone Bonissone

Peter Henry Tu

Christopher Donald Johnson

Dashan Gao

Naresh Sundaram Iyer

John Michael Lizzi

Kunter Seref Akbay

Ting Yu

Kedar Anil Patwardhan

Corey Nicholas Bufi

Yi Yao

John Erik Hershey

Xiao Liang Hu

Shai Dekel

Anil Varma

Feng Xue

Alexandre Nikolov Iankoulski

Sohan Rashmi Ranjan

Alexander Sherman

Xiaofeng Liu

Gianni Mochi

Tianyi Wang

David Bianucci

Lorenzo Salusti

Alessio Fabbri

Alberto Pieri

Seref Akbay Kunter

John Michael Jr Lizzi

The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

System and method for protocol adherence

Method, system and computer software for diagnosing a compressor. The method includes generating a feature vector of the compressor, the feature vector of the compressor including components describing states of various parts of the compressor; determining, based on fuzzy constraints, an aggregated anomaly vector corresponding to the feature vector; defining rules for a preset list of possible faults/failure modes of the compressor; calculating a corroborating measure between the aggregated anomaly vector and the rules; and identifying a fault/failure mode of the compressor based on a result of the corroborating measure.

Method and system for diagnosing compressors

Certain embodiments of the present invention provide methods and systems for determining a hanging protocol for display of clinical images in a study. Certain embodiments provide a machine learning hanging protocol analysis system. The example system includes an image processing module to process image data to provide one or more features. The example system includes a learning engine to receive processed image data and additional data to learn and adapt a hanging protocol for repeated use by applying one or more machine learning algorithms to the processed image data and additional data. The learning engine is to continue to refine an available selection of candidate layouts based on the processed image data and additional data to provide one or more layout choices for selection to form a hanging protocol for display of image and other data.

Smart PACS workflow systems and methods driven by explicit learning from users

A semi-automated method for interactively analyzing a patent landscape in one embodiment includes retrieving a plurality of relevant patents indicative of a predetermined conceptual region of the patent landscape from a patent repository using a query. Competitive analysis of the plurality of relevant patents is conducted using an interactive network-based visualization technique. The competitive analysis is used for intellectual property enforcement, due diligence, and strategic investment analysis.

Semi-automated and inter-active system and method for analyzing patent landscapes

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Schenectady, NY, United States of America

Viswanath Avasarala