Johan Janssen

Title: Innovations by Johan Janssen in Deep Learning Algorithms

Introduction

Johan Janssen is an accomplished inventor based in Eindhoven, Netherlands. He has made significant contributions to the field of deep learning algorithms, particularly in evaluating input data for medical relevance. With a total of two patents to his name, his work is paving the way for advancements in clinical and genomic data analysis.

Latest Patents

Janssen's latest patent focuses on a method for evaluating a set of input data using a deep learning algorithm. This invention encompasses clinical and genomic data from both individual subjects and groups. The method involves obtaining a set of input data, which is organized into various data clusters, and tuning the deep learning algorithm accordingly. The algorithm consists of an input layer, an output layer, and multiple hidden layers. By performing statistical clustering on the raw data, the algorithm generates statistical clusters and extracts markers from each cluster. Ultimately, the input data is evaluated based on these markers to derive medically relevant information.

Career Highlights

Johan Janssen is currently employed at Koninklijke Philips Corporation N.V., where he continues to innovate in the realm of data evaluation and deep learning. His work is instrumental in enhancing the capabilities of medical data analysis, contributing to better healthcare outcomes.

Collaborations

Some of his notable coworkers include Dimitrios Mavroeidis and Monique Hendriks, who collaborate with him on various projects within the company.

Conclusion

Johan Janssen's contributions to deep learning algorithms represent a significant advancement in the evaluation of clinical and genomic data. His innovative methods are set to impact the medical field positively, enhancing the understanding of complex data sets.