Uttenreuth, Germany

Huber Martin


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 158(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Huber Martin - Innovator in Medical Ontologies

Introduction

Huber Martin is a notable inventor based in Uttenreuth, Germany. He has made significant contributions to the field of medical technology, particularly in the area of machine learning and decision support systems. His innovative approach combines medical ontologies with advanced algorithms to enhance clinical decision-making processes.

Latest Patents

Huber Martin holds a patent for "Medical ontologies for machine learning and decision support." This patent describes a medical ontology that can be utilized for computer-assisted clinical decision support. The multi-level and semantically grouped medical ontology is integrated into a machine learning algorithm. The algorithm processes patient records and aggregates similarities across different groups. It identifies similar patients and outcomes based on these similarities, providing probability-based outputs to assist healthcare professionals in making informed clinical decisions. He has 1 patent to his name.

Career Highlights

Huber Martin is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His work focuses on developing innovative solutions that leverage machine learning to improve healthcare outcomes. His expertise in medical ontologies has positioned him as a key player in the intersection of technology and medicine.

Collaborations

Throughout his career, Huber has collaborated with talented professionals in his field, including Alexey Tsymbal and Sonja Zillner. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies in healthcare.

Conclusion

Huber Martin's contributions to medical technology through his innovative patent and work at Siemens Aktiengesellschaft highlight the importance of integrating machine learning with clinical decision support. His efforts are paving the way for advancements in healthcare that can significantly improve patient outcomes.

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