227 related articles for article (PubMed ID: 36058522)
1. MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record.
Ahuja Y; Zou Y; Verma A; Buckeridge D; Li Y
J Biomed Inform; 2022 Oct; 134():104190. PubMed ID: 36058522
[TBL] [Abstract][Full Text] [Related]
2. MixEHR-SurG: A joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records.
Li Y; Yang AY; Marelli A; Li Y
J Biomed Inform; 2024 May; 153():104638. PubMed ID: 38631461
[TBL] [Abstract][Full Text] [Related]
3. Inferring multimodal latent topics from electronic health records.
Li Y; Nair P; Lu XH; Wen Z; Wang Y; Dehaghi AAK; Miao Y; Liu W; Ordog T; Biernacka JM; Ryu E; Olson JE; Frye MA; Liu A; Guo L; Marelli A; Ahuja Y; Davila-Velderrain J; Kellis M
Nat Commun; 2020 May; 11(1):2536. PubMed ID: 32439869
[TBL] [Abstract][Full Text] [Related]
4. Automated feature selection of predictors in electronic medical records data.
Gronsbell J; Minnier J; Yu S; Liao K; Cai T
Biometrics; 2019 Mar; 75(1):268-277. PubMed ID: 30353541
[TBL] [Abstract][Full Text] [Related]
5. Weakly Semi-supervised phenotyping using Electronic Health records.
Nogues IE; Wen J; Lin Y; Liu M; Tedeschi SK; Geva A; Cai T; Hong C
J Biomed Inform; 2022 Oct; 134():104175. PubMed ID: 36064111
[TBL] [Abstract][Full Text] [Related]
6. Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
Hong N; Wen A; Stone DJ; Tsuji S; Kingsbury PR; Rasmussen LV; Pacheco JA; Adekkanattu P; Wang F; Luo Y; Pathak J; Liu H; Jiang G
J Biomed Inform; 2019 Nov; 99():103310. PubMed ID: 31622801
[TBL] [Abstract][Full Text] [Related]
7. sureLDA: A multidisease automated phenotyping method for the electronic health record.
Ahuja Y; Zhou D; He Z; Sun J; Castro VM; Gainer V; Murphy SN; Hong C; Cai T
J Am Med Inform Assoc; 2020 Aug; 27(8):1235-1243. PubMed ID: 32548637
[TBL] [Abstract][Full Text] [Related]
8. Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.
Albers DJ; Elhadad N; Claassen J; Perotte R; Goldstein A; Hripcsak G
J Biomed Inform; 2018 Feb; 78():87-101. PubMed ID: 29369797
[TBL] [Abstract][Full Text] [Related]
9. PIAT: An Evolutionarily Intelligent System for Deep Phenotyping of Chinese Electronic Health Records.
Deng L; Zhang X; Yang T; Liu M; Chen L; Jiang T
IEEE J Biomed Health Inform; 2022 Aug; 26(8):4142-4152. PubMed ID: 35609107
[TBL] [Abstract][Full Text] [Related]
10. Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation.
Li S; Deng L; Zhang X; Chen L; Yang T; Qi Y; Jiang T
J Med Internet Res; 2022 Jun; 24(6):e37213. PubMed ID: 35657661
[TBL] [Abstract][Full Text] [Related]
11. Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.
Cai T; He Z; Hong C; Zhang Y; Ho YL; Honerlaw J; Geva A; Ayakulangara Panickan V; King A; Gagnon DR; Gaziano M; Cho K; Liao K; Cai T
J Biomed Inform; 2022 Aug; 132():104109. PubMed ID: 35660521
[TBL] [Abstract][Full Text] [Related]
12. Relational machine learning for electronic health record-driven phenotyping.
Peissig PL; Santos Costa V; Caldwell MD; Rottscheit C; Berg RL; Mendonca EA; Page D
J Biomed Inform; 2014 Dec; 52():260-70. PubMed ID: 25048351
[TBL] [Abstract][Full Text] [Related]
13. Surrogate-assisted feature extraction for high-throughput phenotyping.
Yu S; Chakrabortty A; Liao KP; Cai T; Ananthakrishnan AN; Gainer VS; Churchill SE; Szolovits P; Murphy SN; Kohane IS; Cai T
J Am Med Inform Assoc; 2017 Apr; 24(e1):e143-e149. PubMed ID: 27632993
[TBL] [Abstract][Full Text] [Related]
14. A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation.
Wang Y; Stroh JN; Hripcsak G; Low Wang CC; Bennett TD; Wrobel J; Der Nigoghossian C; Mueller SW; Claassen J; Albers DJ
J Biomed Inform; 2023 Dec; 148():104547. PubMed ID: 37984547
[TBL] [Abstract][Full Text] [Related]
15. The use of electronic health records for psychiatric phenotyping and genomics.
Smoller JW
Am J Med Genet B Neuropsychiatr Genet; 2018 Oct; 177(7):601-612. PubMed ID: 28557243
[TBL] [Abstract][Full Text] [Related]
16. Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records.
Chen CY; Lee PH; Castro VM; Minnier J; Charney AW; Stahl EA; Ruderfer DM; Murphy SN; Gainer V; Cai T; Jones I; Pato CN; Pato MT; Landén M; Sklar P; Perlis RH; Smoller JW
Transl Psychiatry; 2018 Apr; 8(1):86. PubMed ID: 29666432
[TBL] [Abstract][Full Text] [Related]
17. Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping.
Ostropolets A; Reich C; Ryan P; Shang N; Hripcsak G; Weng C
J Biomed Inform; 2020 Feb; 102():103363. PubMed ID: 31866433
[TBL] [Abstract][Full Text] [Related]
18. Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies.
Hou J; Zhao R; Gronsbell J; Lin Y; Bonzel CL; Zeng Q; Zhang S; Beaulieu-Jones BK; Weber GM; Jemielita T; Wan SS; Hong C; Cai T; Wen J; Ayakulangara Panickan V; Liaw KL; Liao K; Cai T
J Med Internet Res; 2023 May; 25():e45662. PubMed ID: 37227772
[TBL] [Abstract][Full Text] [Related]
19. Semi-supervised validation of multiple surrogate outcomes with application to electronic medical records phenotyping.
Hong C; Liao KP; Cai T
Biometrics; 2019 Mar; 75(1):78-89. PubMed ID: 30267536
[TBL] [Abstract][Full Text] [Related]
20. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
Denaxas S; Gonzalez-Izquierdo A; Direk K; Fitzpatrick NK; Fatemifar G; Banerjee A; Dobson RJB; Howe LJ; Kuan V; Lumbers RT; Pasea L; Patel RS; Shah AD; Hingorani AD; Sudlow C; Hemingway H
J Am Med Inform Assoc; 2019 Dec; 26(12):1545-1559. PubMed ID: 31329239
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]