Uri Kartoun  Uri Kartoun photo       

contact information

Research Staff Member
Cambridge, MA

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Professional Associations

Professional Associations:  ACM


2017

Big data management for consortia
Kartoun U, Andrew C
Liver Meeting, Washington DC, 2017

The MELD-Plus: A generalizable prediction risk score in cirrhosis
Kartoun U; Corey K; Simon T; Zheng H; Aggarwal R; Ng K; Shaw S
PLOS ONE, 2017


Beyond brute force (a letter to the editor)
Kartoun U
Communications of the ACM (Oct.), 2017

Toward a true measure of patent intensity (a letter to the editor)
Kartoun U
Communications of the ACM (Sept.), 2017

MELD-Na score predicts incident major cardiovascular events, in patients with nonalcoholic fatty liver disease (NAFLD)
Simon T, Kartoun U, Zheng H, Chan A, Chung R, Shaw S, Corey K
Hepatology Communications, 2017


Factors associated with clinical inertia after metformin monotherapy failure
Kartoun U, Iglay K, Shankar R, Beam A, Palmer N, Radican L, Chatterjee A, Pai J, Kohane I, Shaw S
The American Diabetes Association 77th Scientific Sessions, San Diego, CA / June 2017 supplement to the Journal Diabetes

Predictive modeling of physician-patient dynamics that influence sleep medication prescriptions and clinical decision-making
Beam A, Kartoun U, Pai J, Chatterjee A, Fitzgerald T, Shaw S, Kohane I
Scientific Reports, 2017

A user, an interface, or none
Kartoun U.
ACM Interactions, 2017

Is the patient even human? (an accepted letter to the editor in production)
Kartoun U
Communications of the ACM (Nov.), 2017

The man who had them all
Kartoun U.
ACM Interactions, 2017



2016

Use of chronic oral anticoagulation and associated outcomes among patients undergoing percutaneous coronary intervention
Secemsky E, Butala N, Kartoun U, Mahmood S, Wasfy J, Kennedy K, Shaw S, Yeh R
Journal of the American Heart Association, 2016

A methodology to generate virtual patient repositories
Kartoun U.
Computing Research Repository, 2016

Use of oral anticoagulant therapy among real-world patients undergoing percutaneous coronary intervention
Secemsky E, Butala N, Kartoun U, Mahmood S, Shaw S, Yeh R.
American College of Cardiology (Interventional Cardiology), 2016


A prediction model to assess mortality risk in cirrhosis
Kartoun U, Corey K, Zheng H, Shaw S.
2016 Joint Summits on Translational Science, San Francisco, CA.

The spectrum of insomnia-associated comorbidities in an electronic medical records cohort
Kartoun U, Beam A, Pai J, Chatterjee A, Fitzgerald T, Kohane I, Shaw S.
AMIA 2016 Annual Symposium, Chicago, IL.

Using an electronic medical records database to identify non-traditional cardiovascular risk factors in nonalcoholic fatty liver disease
Corey K, Kartoun U, Zheng H, Chung R, Shaw S.
The American Journal of Gastroenterology, 2016


2015

Identification of unique markers of cardiovascular disease in NAFLD
Corey K, Kartoun U, Zheng H, Shaw S.
American Association for the Study of Liver Diseases (The Liver Meeting), 2015

A risk model for 30-day heart failure re-admission using electronic medical records
Kartoun U, Kumar V, Brettman A, Yu S, Liao K, Karlson E, Ananthakrishnan A, Xia Z, Gainer V, Cagan A, Murphy S, Churchill S, Kohane I, Szolovits P, Cai T, Shaw S.
2015 Joint Summits on Translational Science, San Francisco, CA.

Demonstrating the advantages of applying data mining techniques on time-dependent electronic medical records
Kartoun U, Kumar V, Cheng SC, Yu S, Liao K, Karlson E, Ananthakrishnan A, Xia Z, Gainer V, Cagan A, Savova G, Chen P, Murphy S, Churchill S, Kohane I, Szolovits P, Cai T, Shaw S.
AMIA 2015 Annual Symposium, San Francisco, CA.


2014

Predictive modeling to identify heart failure in diabetic patients at risk for 30-day readmission using electronic medical records
Kartoun U, Kumar V, Su-Chun C, Brettman A, Szolovits P, Cai T, Shaw S.
67th Annual Meeting of the MGH Scientific Advisory Committee, 2014

Natural language processing improves phenotypic accuracy in an electronic medical record cohort of type 2 diabetes and cardiovascular disease
Kumar V, Liao K, Cheng SC, Yu S, Kartoun U, Brettman A, Gainer V, Cagan A, Murphy S, Savova G, Chen P, Szolovits P, Xia Z, Karlson E, Plenge R, Ananthakrishnan A, Churchill S, Cai T, Kohane I, Shaw S.
Journal of the American College of Cardiology, 2014


2010

Physical modeling of a bag knot in a robot learning system
Kartoun U, Shapiro A, Stern H, Edan Y.
IEEE Transactions on Automation Science and Engineering, 2010

A human-robot collaborative reinforcement learning algorithm
Kartoun U, Stern H, Edan Y.
Journal of Intelligent and Robotic Systems, 2010


2006

Human-robot collaborative learning system for inspection
Kartoun U, Stern H, Edan Y.
IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, 2006

Vision-based autonomous robot self-docking and recharging
Kartoun U, Stern H, Edan Y, Feied C, Handler J, Smith M, Gillam M.
11th International Symposium on Robotics and Applications at World Automation Congress, Budapest, Hungary, 2006





Technical Areas