Rubik: Knowledge guided tensor factorization and completion for health data analytics

Keyphrases

• Electronic Health Records 100%
• Tensor Factorization 100%
• Tensor Completion 100%
• Knowledge-guided 100%
• Health Data Analytics 100%
• Missing Data 66%
• Noisy Data 66%
• Medical Knowledge 66%
• Phenotypic Methods 66%
• Non-overlapping 33%
• Outpatient Clinic 33%
• Alternating Direction multiplier Method 33%
• Parallel Computing 33%
• Using Knowledge 33%
• Factorization Method 33%
• Major Diseases 33%
• Electronic Health Record Data 33%
• Public Dataset 33%
• Clinical Concepts 33%
• Phenotypic Drug Discovery 33%
• Completion Method 33%
• Pairwise Constraints 33%
• Nonnegative Tensor Factorization 33%
• Computational Phenotyping 33%
• Tensor Methods 33%
• Knowledge Guidance 33%
• Nonnegative Tensor Completion 33%
• Overlapping Phenotypes 33%

Computer Science

• Data Analytics 100%
• Medical Knowledge 100%
• Large Data Set 50%
• Alternating Direction Method of Multipliers 50%
• Data Record 50%
• Parallel Computer 50%