201 related articles for article (PubMed ID: 26958183)
1. Semi-supervised Learning for Phenotyping Tasks.
Dligach D; Miller T; Savova GK
AMIA Annu Symp Proc; 2015; 2015():502-11. PubMed ID: 26958183
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Semi-supervised learning of Hidden Markov Models for biological sequence analysis.
Tamposis IA; Tsirigos KD; Theodoropoulou MC; Kontou PI; Bagos PG
Bioinformatics; 2019 Jul; 35(13):2208-2215. PubMed ID: 30445435
[TBL] [Abstract][Full Text] [Related]
4. Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions.
Chen K; Wang S
IEEE Trans Pattern Anal Mach Intell; 2011 Jan; 33(1):129-43. PubMed ID: 20421671
[TBL] [Abstract][Full Text] [Related]
5. SemiBoost: boosting for semi-supervised learning.
Mallapragada PK; Jin R; Jain AK; Liu Y
IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
[TBL] [Abstract][Full Text] [Related]
6. A novel logistic regression model combining semi-supervised learning and active learning for disease classification.
Chai H; Liang Y; Wang S; Shen HW
Sci Rep; 2018 Aug; 8(1):13009. PubMed ID: 30158596
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
Caragea C; Caragea D; Silvescu A; Honavar V
BMC Bioinformatics; 2010 Oct; 11 Suppl 8(Suppl 8):S6. PubMed ID: 21034431
[TBL] [Abstract][Full Text] [Related]
9. A semi-supervised machine learning framework for microRNA classification.
Sheikh Hassani M; Green JR
Hum Genomics; 2019 Oct; 13(Suppl 1):43. PubMed ID: 31639051
[TBL] [Abstract][Full Text] [Related]
10. Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification.
Kim Y; Riloff E; Meystre SM
AMIA Annu Symp Proc; 2017; 2017():1060-1069. PubMed ID: 29854174
[TBL] [Abstract][Full Text] [Related]
11. Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records.
Taewijit S; Theeramunkong T; Ikeda M
J Healthc Eng; 2017; 2017():7575280. PubMed ID: 29090077
[TBL] [Abstract][Full Text] [Related]
12. Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals.
Hassanzadeh H; Kholghi M; Nguyen A; Chu K
AMIA Annu Symp Proc; 2018; 2018():545-554. PubMed ID: 30815095
[TBL] [Abstract][Full Text] [Related]
13. Leveraging permutation testing to assess confidence in positive-unlabeled learning applied to high-dimensional biological datasets.
Xu S; Ackerman ME
BMC Bioinformatics; 2024 Jun; 25(1):218. PubMed ID: 38898392
[TBL] [Abstract][Full Text] [Related]
14. Single-reviewer electronic phenotyping validation in operational settings: Comparison of strategies and recommendations.
Kukhareva P; Staes C; Noonan KW; Mueller HL; Warner P; Shields DE; Weeks H; Kawamoto K
J Biomed Inform; 2017 Feb; 66():1-10. PubMed ID: 27956265
[TBL] [Abstract][Full Text] [Related]
15. Semi-supervised learning of the electronic health record for phenotype stratification.
Beaulieu-Jones BK; Greene CS;
J Biomed Inform; 2016 Dec; 64():168-178. PubMed ID: 27744022
[TBL] [Abstract][Full Text] [Related]
16. EHR-based phenotyping: Bulk learning and evaluation.
Chiu PH; Hripcsak G
J Biomed Inform; 2017 Jun; 70():35-51. PubMed ID: 28410982
[TBL] [Abstract][Full Text] [Related]
17. Exploring semi-supervised variational autoencoders for biomedical relation extraction.
Zhang Y; Lu Z
Methods; 2019 Aug; 166():112-119. PubMed ID: 30822516
[TBL] [Abstract][Full Text] [Related]
18. A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification.
Flores CA; Verschae R
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():4445-4448. PubMed ID: 36085799
[TBL] [Abstract][Full Text] [Related]
19. Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology.
Yan J; Wang X
Plant J; 2022 Sep; 111(6):1527-1538. PubMed ID: 35821601
[TBL] [Abstract][Full Text] [Related]
20. Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms.
Gao J; Bonzel CL; Hong C; Varghese P; Zakir K; Gronsbell J
J Am Med Inform Assoc; 2024 Feb; 31(3):640-650. PubMed ID: 38128118
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
