182 related articles for article (PubMed ID: 30876845)
1. Machine learning on adverse drug reactions for pharmacovigilance.
Lee CY; Chen YP
Drug Discov Today; 2019 Jul; 24(7):1332-1343. PubMed ID: 30876845
[TBL] [Abstract][Full Text] [Related]
2. Classification of the Severity of Adverse Drugs Reactions.
Chauvet R; Bousquet C; Lillo-Lelouet A; Zana I; Ben Kimoun I; Jaulent MC
Stud Health Technol Inform; 2020 Jun; 270():1227-1228. PubMed ID: 32570592
[TBL] [Abstract][Full Text] [Related]
3. A Comparison Study of Algorithms to Detect Drug-Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches.
Pham M; Cheng F; Ramachandran K
Drug Saf; 2019 Jun; 42(6):743-750. PubMed ID: 30762164
[TBL] [Abstract][Full Text] [Related]
4. An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine.
El-Allaly ED; Sarrouti M; En-Nahnahi N; Ouatik El Alaoui S
Comput Methods Programs Biomed; 2019 Jul; 176():33-41. PubMed ID: 31200909
[TBL] [Abstract][Full Text] [Related]
5. Artificial Intelligence for Drug Toxicity and Safety.
Basile AO; Yahi A; Tatonetti NP
Trends Pharmacol Sci; 2019 Sep; 40(9):624-635. PubMed ID: 31383376
[TBL] [Abstract][Full Text] [Related]
6. Making Sense of Pharmacovigilance and Drug Adverse Event Reporting: Comparative Similarity Association Analysis Using AI Machine Learning Algorithms in Dogs and Cats.
Xu X; Mazloom R; Goligerdian A; Staley J; Amini M; Wyckoff GJ; Riviere J; Jaberi-Douraki M
Top Companion Anim Med; 2019 Dec; 37():100366. PubMed ID: 31837760
[TBL] [Abstract][Full Text] [Related]
7. Similarity-based machine learning support vector machine predictor of drug-drug interactions with improved accuracies.
Song D; Chen Y; Min Q; Sun Q; Ye K; Zhou C; Yuan S; Sun Z; Liao J
J Clin Pharm Ther; 2019 Apr; 44(2):268-275. PubMed ID: 30565313
[TBL] [Abstract][Full Text] [Related]
8. Predictive modeling of structured electronic health records for adverse drug event detection.
Zhao J; Henriksson A; Asker L; Boström H
BMC Med Inform Decis Mak; 2015; 15 Suppl 4(Suppl 4):S1. PubMed ID: 26606038
[TBL] [Abstract][Full Text] [Related]
9. Machine Learning in Causal Inference: Application in Pharmacovigilance.
Zhao Y; Yu Y; Wang H; Li Y; Deng Y; Jiang G; Luo Y
Drug Saf; 2022 May; 45(5):459-476. PubMed ID: 35579811
[TBL] [Abstract][Full Text] [Related]
10. Filtering big data from social media--Building an early warning system for adverse drug reactions.
Yang M; Kiang M; Shang W
J Biomed Inform; 2015 Apr; 54():230-40. PubMed ID: 25688695
[TBL] [Abstract][Full Text] [Related]
11. Artificial Intelligence and the Future of the Drug Safety Professional.
Danysz K; Cicirello S; Mingle E; Assuncao B; Tetarenko N; Mockute R; Abatemarco D; Widdowson M; Desai S
Drug Saf; 2019 Apr; 42(4):491-497. PubMed ID: 30343417
[TBL] [Abstract][Full Text] [Related]
12. Learning temporal weights of clinical events using variable importance.
Zhao J; Henriksson A
BMC Med Inform Decis Mak; 2016 Jul; 16 Suppl 2(Suppl 2):71. PubMed ID: 27459993
[TBL] [Abstract][Full Text] [Related]
13. A chronological pharmacovigilance network analytics approach for predicting adverse drug events.
Davazdahemami B; Delen D
J Am Med Inform Assoc; 2018 Oct; 25(10):1311-1321. PubMed ID: 30085102
[TBL] [Abstract][Full Text] [Related]
14. French pharmacovigilance: Missions, organization and perspectives.
Vial T
Therapie; 2016 Apr; 71(2):143-50. PubMed ID: 27080832
[TBL] [Abstract][Full Text] [Related]
15. [Pharmacovigilance of Chinese medicine: practice of cognition, application, prevention and rescue of drug toxicity].
Zhang B; Lin ZJ; Zhang XM
Zhongguo Zhong Yao Za Zhi; 2017 May; 42(10):2017-2020. PubMed ID: 29090566
[TBL] [Abstract][Full Text] [Related]
16. Detecting adverse drug reactions in discharge summaries of electronic medical records using Readpeer.
Tang Y; Yang J; Ang PS; Dorajoo SR; Foo B; Soh S; Tan SH; Tham MY; Ye Q; Shek L; Sung C; Tung A
Int J Med Inform; 2019 Aug; 128():62-70. PubMed ID: 31160013
[TBL] [Abstract][Full Text] [Related]
17. Leveraging digital media data for pharmacovigilance.
Farooq H; Niaz JS; Fakhar S; Naveed H
AMIA Annu Symp Proc; 2020; 2020():442-451. PubMed ID: 33936417
[TBL] [Abstract][Full Text] [Related]
18. Ensembles of randomized trees using diverse distributed representations of clinical events.
Henriksson A; Zhao J; Dalianis H; Boström H
BMC Med Inform Decis Mak; 2016 Jul; 16 Suppl 2(Suppl 2):69. PubMed ID: 27459846
[TBL] [Abstract][Full Text] [Related]
19. Named Entity Recognition in Pubmed Abstracts for Pharmacovigilance Using Deep Learning.
Nghiem TT; Bousquet C
Stud Health Technol Inform; 2022 May; 294():878-879. PubMed ID: 35612234
[TBL] [Abstract][Full Text] [Related]
20. DL-ADR: a novel deep learning model for classifying genomic variants into adverse drug reactions.
Liang Z; Huang JX; Zeng X; Zhang G
BMC Med Genomics; 2016 Aug; 9 Suppl 2(Suppl 2):48. PubMed ID: 27510822
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]