{"doi":"10.1145/3368555.3384464","title":"TASTE","abstract":"nsor factorization (TASTE) that jointly models both static and temporal information to extract phenotypes. TASTE combines the PARAFAC2 model with non-negative matrix factorization to model a temporal and a static tensor. To fit the proposed model, we transform the original problem into simpler ones which are optimally solved in an alternating fashion. For each of the sub-problems, our proposed mathematical re-formulations lead to efficient sub-problem solvers. Comprehensive experiments on large EHR data from a heart failure (HF) study confirmed that TASTE is up to 14× faster than several baselines and the resulting phenotypes were confirmed to be clinically meaningful by a cardiologist. Using 60 phenotypes extracted by TASTE, a simple logistic regression can achieve the same level of area under the curve (AUC) for HF prediction compared to a deep learning model using recurrent neural networks (RNN) with 345 features.","journal":"PubMed","year":2020,"id":118875,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":36,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9562,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":553201,"name":"Ioakeim Perros","orcid":null,"position":1,"is_corresponding":false},{"id":552323,"name":"Haesun Park","orcid":"0000-0001-6259-7170","position":2,"is_corresponding":false},{"id":278980,"name":"Christopher R. deFilippi","orcid":"0000-0002-0660-4943","position":3,"is_corresponding":false},{"id":552324,"name":"Xiaowei Yan","orcid":"0000-0002-1675-8751","position":4,"is_corresponding":false},{"id":12036,"name":"Walter F. Stewart","orcid":"0000-0001-9297-7422","position":5,"is_corresponding":false},{"id":552325,"name":"Joyce C. Ho","orcid":"0000-0001-9168-3916","position":6,"is_corresponding":false},{"id":227378,"name":"Jimeng Sun","orcid":"0000-0003-1512-6426","position":7,"is_corresponding":false},{"id":552322,"name":"Ardavan Afshar","orcid":"0000-0002-6474-3490","position":0,"is_corresponding":true}],"reference_count":24,"raw_metadata":null,"created_at":"2026-07-18T23:14:03.409507Z","pmid":"33659966","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}