171 related articles for article (PubMed ID: 35112726)
1. Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text.
Zhou N; Brook RD; Dinov ID; Wang L
Biom J; 2022 Apr; 64(4):805-817. PubMed ID: 35112726
[TBL] [Abstract][Full Text] [Related]
2. Restricted sub-tree learning to estimate an optimal dynamic treatment regime using observational data.
Speth K; Wang L
Stat Med; 2021 Nov; 40(26):5796-5812. PubMed ID: 34340264
[TBL] [Abstract][Full Text] [Related]
3. Bayesian inference for optimal dynamic treatment regimes in practice.
Rodriguez Duque D; Moodie EEM; Stephens DA
Int J Biostat; 2023 Nov; 19(2):309-331. PubMed ID: 37192544
[TBL] [Abstract][Full Text] [Related]
4. Multiobjective tree-based reinforcement learning for estimating tolerant dynamic treatment regimes.
Song Y; Wang L
Biometrics; 2024 Jan; 80(1):. PubMed ID: 38364801
[TBL] [Abstract][Full Text] [Related]
5. [A customized method for information extraction from unstructured text data in the electronic medical records].
Bao XY; Huang WJ; Zhang K; Jin M; Li Y; Niu CZ
Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 50(2):256-263. PubMed ID: 29643524
[TBL] [Abstract][Full Text] [Related]
6. Ad Hoc Information Extraction for Clinical Data Warehouses.
Dietrich G; Krebs J; Fette G; Ertl M; Kaspar M; Störk S; Puppe F
Methods Inf Med; 2018 May; 57(1):e22-e29. PubMed ID: 29801178
[TBL] [Abstract][Full Text] [Related]
7. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
8. A method for cohort selection of cardiovascular disease records from an electronic health record system.
Abrahão MTF; Nobre MRC; Gutierrez MA
Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.
Steinkamp JM; Bala W; Sharma A; Kantrowitz JJ
J Biomed Inform; 2020 Feb; 102():103354. PubMed ID: 31838210
[TBL] [Abstract][Full Text] [Related]
11. Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.
Simmons M; Singhal A; Lu Z
Adv Exp Med Biol; 2016; 939():139-166. PubMed ID: 27807747
[TBL] [Abstract][Full Text] [Related]
12. Foresight-a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study.
Kraljevic Z; Bean D; Shek A; Bendayan R; Hemingway H; Yeung JA; Deng A; Baston A; Ross J; Idowu E; Teo JT; Dobson RJB
Lancet Digit Health; 2024 Apr; 6(4):e281-e290. PubMed ID: 38519155
[TBL] [Abstract][Full Text] [Related]
13. Chapter 13: Mining electronic health records in the genomics era.
Denny JC
PLoS Comput Biol; 2012; 8(12):e1002823. PubMed ID: 23300414
[TBL] [Abstract][Full Text] [Related]
14. Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record: Findings of a Retrospective Cohort Study.
Hatef E; Singh Deol G; Rouhizadeh M; Li A; Eibensteiner K; Monsen CB; Bratslaver R; Senese M; Kharrazi H
Front Public Health; 2021; 9():697501. PubMed ID: 34513783
[No Abstract] [Full Text] [Related]
15. Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety.
Wang SV; Patterson OV; Gagne JJ; Brown JS; Ball R; Jonsson P; Wright A; Zhou L; Goettsch W; Bate A
Drug Saf; 2019 Nov; 42(11):1297-1309. PubMed ID: 31452075
[TBL] [Abstract][Full Text] [Related]
16. MLM-based typographical error correction of unstructured medical texts for named entity recognition.
Lee EB; Heo GE; Choi CM; Song M
BMC Bioinformatics; 2022 Nov; 23(1):486. PubMed ID: 36384464
[TBL] [Abstract][Full Text] [Related]
17. Reward ignorant modeling of dynamic treatment regimes.
Wallace MP; Moodie EEM; Stephens DA
Biom J; 2018 Sep; 60(5):991-1002. PubMed ID: 29845644
[TBL] [Abstract][Full Text] [Related]
18. A hybrid solution for extracting structured medical information from unstructured data in medical records via a double-reading/entry system.
Luo L; Li L; Hu J; Wang X; Hou B; Zhang T; Zhao LP
BMC Med Inform Decis Mak; 2016 Aug; 16(1):114. PubMed ID: 27577240
[TBL] [Abstract][Full Text] [Related]
19. Clinical information extraction applications: A literature review.
Wang Y; Wang L; Rastegar-Mojarad M; Moon S; Shen F; Afzal N; Liu S; Zeng Y; Mehrabi S; Sohn S; Liu H
J Biomed Inform; 2018 Jan; 77():34-49. PubMed ID: 29162496
[TBL] [Abstract][Full Text] [Related]
20. Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.
Hernandez-Boussard T; Monda KL; Crespo BC; Riskin D
J Am Med Inform Assoc; 2019 Nov; 26(11):1189-1194. PubMed ID: 31414700
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]