Woodbridge, NJ, United States of America

Arun Kumar Goel


Average Co-Inventor Count = 5.3

ph-index = 3

Forward Citations = 140(Granted Patents)


Location History:

  • Colonia, NJ (US) (2007 - 2009)
  • Edison, NJ (US) (2012)
  • Woodbridge, NJ (US) (2015)

Company Filing History:


Years Active: 2007-2015

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5 patents (USPTO):

Title: Innovations of Arun Kumar Goel

Introduction

Arun Kumar Goel is a notable inventor based in Woodbridge, NJ (US). He has made significant contributions to the field of medical data mining, holding a total of 5 patents. His work focuses on enhancing the quality of clinical information through innovative data mining frameworks.

Latest Patents

One of his latest patents is centered around patient data mining. This invention provides a data mining framework for extracting high-quality structured clinical information. The framework includes a data miner that retrieves medical information from computerized patient records (CPR) based on domain-specific knowledge contained in a knowledge base. The data miner is equipped with components for extracting information from the CPR, combining all available evidence in a principled manner over time, and drawing inferences from this combination process. The mined medical information is then stored in a structured CPR, which can serve as a data warehouse.

Career Highlights

Arun Kumar Goel has worked with prominent companies such as Siemens Medical Solutions USA, Inc. and Siemens Corporate Research, Inc. His experience in these organizations has contributed to his expertise in medical data mining and innovation.

Collaborations

Some of his notable coworkers include Sathyakama Sandilya and Radu Stefan Niculescu. Their collaboration has likely fostered a productive environment for innovation and development in their respective fields.

Conclusion

Arun Kumar Goel's contributions to medical data mining exemplify the impact of innovative thinking in healthcare. His patents and career achievements highlight the importance of structured clinical information in improving patient care.

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