Optum, Inc.

Swaroop S Shekar

V Kishore Ayyadevara

Raghav Bali

Atul B Subhash

Veera Raghavendra Chikka

Vinod Burugupalli

Vamsi M Bhandaru

Joseph C Cremaldi

Rohan Khilnani

Fritz T Wilhelm

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing intervention recommendation operations. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform intervention recommendations by using at least one of reinforcement learning machine learning models and event scoring machine learning models.

Reinforcement learning machine learning models for intervention recommendation

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing digital image processing operations. For example, as described herein, various embodiments of the present invention relate to performing digital image processing operations using at least one of using bounding box precision models to generate an optimal object differentiation kernel, using an optimal object differentiation kernel to generate/detect optimal bounding boxes of an image set, and using an image classification machine learning model to generate bounding box classifications for the optimal bounding boxes of an image set.

Digital image processing techniques using bounding box precision models

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Mysore, India

Swaroop S Shekar