Search Page

1

Cite

Share

Precision medicine informatics.

Frey LJ, Bernstam EV, Denny JC. Frey LJ, et al. J Am Med Inform Assoc. 2016 Jul;23(4):668-70. doi: 10.1093/jamia/ocw053. Epub 2016 Jun 6. J Am Med Inform Assoc. 2016. PMID: 27274018 Free PMC article. No abstract available.

Cite

Share

2

Cite

Share

Biobanks and personalized medicine.

Olson JE, Bielinski SJ, Ryu E, Winkler EM, Takahashi PY, Pathak J, Cerhan JR. Olson JE, et al. Clin Genet. 2014 Jul;86(1):50-5. doi: 10.1111/cge.12370. Epub 2014 Mar 27. Clin Genet. 2014. PMID: 24588254 Free PMC article. Review.

Cite

Share

3

Cite

Share

Natural Language Processing for EHR-Based Computational Phenotyping.

Zeng Z, Deng Y, Li X, Naumann T, Luo Y. Zeng Z, et al. IEEE/ACM Trans Comput Biol Bioinform. 2019 Jan-Feb;16(1):139-153. doi: 10.1109/TCBB.2018.2849968. Epub 2018 Jun 25. IEEE/ACM Trans Comput Biol Bioinform. 2019. PMID: 29994486 Free PMC article. Review.

Cite

Share

4

Cite

Share

Some experiences and opportunities for big data in translational research.

Chute CG, Ullman-Cullere M, Wood GM, Lin SM, He M, Pathak J. Chute CG, et al. Genet Med. 2013 Oct;15(10):802-9. doi: 10.1038/gim.2013.121. Epub 2013 Sep 5. Genet Med. 2013. PMID: 24008998 Free PMC article. Review.

Cite

Share

5

Cite

Share

Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.

Denny JC, Bastarache L, Roden DM. Denny JC, et al. Annu Rev Genomics Hum Genet. 2016 Aug 31;17:353-73. doi: 10.1146/annurev-genom-090314-024956. Epub 2016 May 4. Annu Rev Genomics Hum Genet. 2016. PMID: 27147087 Free PMC article. Review.

Cite

Share

6

Cite

Share

eMERGEing progress in genomics-the first seven years.

Crawford DC, Crosslin DR, Tromp G, Kullo IJ, Kuivaniemi H, Hayes MG, Denny JC, Bush WS, Haines JL, Roden DM, McCarty CA, Jarvik GP, Ritchie MD. Crawford DC, et al. Front Genet. 2014 Jun 17;5:184. doi: 10.3389/fgene.2014.00184. eCollection 2014. Front Genet. 2014. PMID: 24987407 Free PMC article. Review.

Cite

Share

7

Cite

Share

Genome-wide and Phenome-wide Approaches to Understand Variable Drug Actions in Electronic Health Records.

Robinson JR, Denny JC, Roden DM, Van Driest SL. Robinson JR, et al. Clin Transl Sci. 2018 Mar;11(2):112-122. doi: 10.1111/cts.12522. Epub 2017 Nov 17. Clin Transl Sci. 2018. PMID: 29148204 Free PMC article. Review. No abstract available.

Cite

Share

8

Cite

Share

CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping.

Wen A, Rasmussen LV, Stone D, Liu S, Kiefer R, Adekkanattu P, Brandt PS, Pacheco JA, Luo Y, Wang F, Pathak J, Liu H, Jiang G. Wen A, et al. AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:624-633. eCollection 2021. AMIA Jt Summits Transl Sci Proc. 2021. PMID: 34457178 Free PMC article.

Cite

Share

9

Cite

Share

Subphenotyping depression using machine learning and electronic health records.

Xu Z, Wang F, Adekkanattu P, Bose B, Vekaria V, Brandt P, Jiang G, Kiefer RC, Luo Y, Pacheco JA, Rasmussen LV, Xu J, Alexopoulos G, Pathak J. Xu Z, et al. Learn Health Syst. 2020 Aug 3;4(4):e10241. doi: 10.1002/lrh2.10241. eCollection 2020 Oct. Learn Health Syst. 2020. PMID: 33083540 Free PMC article.

Cite

Share

10

Cite

Share

Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups.

Huang Y, Liu Y, Steel PAD, Axsom KM, Lee JR, Tummalapalli SL, Wang F, Pathak J, Subramanian L, Zhang Y. Huang Y, et al. J Am Med Inform Assoc. 2021 Nov 25;28(12):2641-2653. doi: 10.1093/jamia/ocab203. J Am Med Inform Assoc. 2021. PMID: 34571540 Free PMC article.

Cite

Share