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Items: 18

1.

Identifying unreliable predictions in clinical risk models.

Myers PD, Ng K, Severson K, Kartoun U, Dai W, Huang W, Anderson FA, Stultz CM.

NPJ Digit Med. 2020 Jan 23;3:8. doi: 10.1038/s41746-019-0209-7. eCollection 2020.

2.

Comment on 'Beyond Advanced Technologies: Additional Factors Affecting Surgical Outcomes".

Kartoun U.

Ann Surg. 2019 Dec;270(6):e87-e88. doi: 10.1097/SLA.0000000000003133. No abstract available.

PMID:
31730556
3.

MELD-plus: a call for an additional external validation.

Kartoun U.

Eur J Gastroenterol Hepatol. 2019 Dec;31(12):1603. doi: 10.1097/MEG.0000000000001563. No abstract available.

PMID:
31688253
4.

Factors associated with clinical inertia in type 2 diabetes mellitus patients treated with metformin monotherapy.

Kartoun U, Iglay K, Shankar RR, Beam A, Radican L, Chatterjee A, Pai JK, Shaw S.

Curr Med Res Opin. 2019 Dec;35(12):2063-2070. doi: 10.1080/03007995.2019.1648116. Epub 2019 Sep 6.

PMID:
31337263
5.

Computational modeling of pancreatic cancer patients receiving FOLFIRINOX and gemcitabine-based therapies identifies optimum intervention strategies.

Yamamoto KN, Nakamura A, Liu LL, Stein S, Tramontano AC, Kartoun U, Shimizu T, Inoue Y, Asakuma M, Haeno H, Kong CY, Uchiyama K, Gonen M, Hur C, Michor F.

PLoS One. 2019 Apr 26;14(4):e0215409. doi: 10.1371/journal.pone.0215409. eCollection 2019.

6.

The Trade-off of Applying Simple vs. Advanced Imputation Techniques in Prediction Modeling.

Kartoun U.

J Med Syst. 2019 Apr 13;43(5):142. doi: 10.1007/s10916-019-1274-9. No abstract available.

PMID:
30980193
7.

A glimpse of the difference between predictive modeling and classification modeling.

Kartoun U.

J Clin Epidemiol. 2019 May;109:142. doi: 10.1016/j.jclinepi.2019.01.001. Epub 2019 Jan 10. No abstract available.

PMID:
30639667
8.

Improving the management of spontaneous pneumothorax.

Kartoun U.

Eur Respir J. 2018 Dec 6;52(6). pii: 1801857. doi: 10.1183/13993003.01857-2018. Print 2018 Dec. No abstract available.

PMID:
30523206
9.

Analysis of factors associated with extended recovery time after colonoscopy.

Eschenfeldt PC, Kartoun U, Heberle CR, Kong CY, Nishioka NS, Ng K, Kamarthi S, Hur C.

PLoS One. 2018 Jun 21;13(6):e0199246. doi: 10.1371/journal.pone.0199246. eCollection 2018.

10.
11.

Development of an Algorithm to Identify Patients with Physician-Documented Insomnia.

Kartoun U, Aggarwal R, Beam AL, Pai JK, Chatterjee AK, Fitzgerald TP, Kohane IS, Shaw SY.

Sci Rep. 2018 May 18;8(1):7862. doi: 10.1038/s41598-018-25312-z.

12.

MELD-Na score predicts incident major cardiovascular events, in patients with nonalcoholic fatty liver disease (NAFLD).

Simon TG, Kartoun U, Zheng H, Chan AT, Chung RT, Shaw S, Corey KE.

Hepatol Commun. 2017 Jul;1(5):429-438. doi: 10.1002/hep4.1051. Epub 2017 May 22.

13.

The MELD-Plus: A generalizable prediction risk score in cirrhosis.

Kartoun U, Corey KE, Simon TG, Zheng H, Aggarwal R, Ng K, Shaw SY.

PLoS One. 2017 Oct 25;12(10):e0186301. doi: 10.1371/journal.pone.0186301. eCollection 2017.

14.

Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making.

Beam AL, Kartoun U, Pai JK, Chatterjee AK, Fitzgerald TP, Shaw SY, Kohane IS.

Sci Rep. 2017 Feb 9;7:42282. doi: 10.1038/srep42282.

15.

Use of Chronic Oral Anticoagulation and Associated Outcomes Among Patients Undergoing Percutaneous Coronary Intervention.

Secemsky EA, Butala NM, Kartoun U, Mahmood S, Wasfy JH, Kennedy KF, Shaw SY, Yeh RW.

J Am Heart Assoc. 2016 Oct 17;5(10). pii: e004310.

16.

Using an Electronic Medical Records Database to Identify Non-Traditional Cardiovascular Risk Factors in Nonalcoholic Fatty Liver Disease.

Corey KE, Kartoun U, Zheng H, Chung RT, Shaw SY.

Am J Gastroenterol. 2016 May;111(5):671-6. doi: 10.1038/ajg.2016.44. Epub 2016 Mar 1.

17.

Development and Validation of an Algorithm to Identify Nonalcoholic Fatty Liver Disease in the Electronic Medical Record.

Corey KE, Kartoun U, Zheng H, Shaw SY.

Dig Dis Sci. 2016 Mar;61(3):913-9. doi: 10.1007/s10620-015-3952-x. Epub 2015 Nov 4.

18.

Use of medical robotics in biothreat situations.

Kartoun U, Feied C, Gillam M, Handler J, Stern H, Smith M.

AMIA Annu Symp Proc. 2006:976.

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