Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data
Hong C, Rush E, Liu M, Zhou D, Sun J, Sonabend A, Castro VM, Schubert P, Panickan VA, Cai T, Costa L, He Z, Link N, Hauser R, Gaziano JM, Murphy SN, Ostrouchov G, Ho YL, Begoli E, Lu J, Cho K, Liao KP, Cai T. Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. Npj Digital Medicine 2021, 4: 151. PMID: 34707226, PMCID: PMC8551205, DOI: 10.1038/s41746-021-00519-z.Peer-Reviewed Original ResearchCode embeddingsKnowledge extractionFeature selectionTraditional data mining approachesClinical knowledge extractionKnowledge mapData mining approachElectronic health record systemsPatient-level dataHealth record systemsDomain expertsMining approachDisease-drug pairsLarge-scale electronic health record dataEHR dataElectronic health record dataRelevant featuresRecord systemComparable performanceEmbeddingHealth record dataRelevant codesMulti-center studySingle-institution dataKESER