Accession Number:

AD1069878

Title:

Autonomous Action by Learning Group Action Protocols and Case-Based Reasoning

Descriptive Note:

Technical Report,07 Sep 2017,06 Sep 2018

Corporate Author:

John von Neumann Institute Ho Chi Minh City Vietnam

Personal Author(s):

• Ho, Tu-Bao

Report Date:

2018-10-12

Pagination or Media Count:

45.0

Abstract:

The PI has been successful in their tasks for this research grant. They were able to develop and test a new learning theory andalgorithms that can learn recommended sequence of actions for heterogeneous and temporal objects, and tested the newalgorithm to create treatment actions for a patient. The method developed is generic enough to be applicable to manyautonomous systems with appropriate adaptations. There was 1 conference paper and one submitted journal paper as a directresult of this grant.

Descriptors:

• probabilistic models
• therapy
• data mining
• patients
• coding
• biomedicine
• clustering

Subject Categories:

• Medicine and Medical Research
• Operations Research
• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE