DBMI Publications

Rathnam C, Lee S, Jiang X. An algorithm for direct causal learning of influences on patient outcomes. Artif Intell Med. 2017 Jan; 75: 1-15. doi: 10.1016/j.artmed.2016.10.003. Epub 2016 Nov 5. PMID: 28363452. PMC ID: PMC5415921. 
Cherukuri A, Salama AD, Carter CR, Landsittel D, Arumugakani G, Clark B, Rothstein DM and Baker RJ. Reduced Human Transitional B cell T1/T2 Ratio Is Associated with Subsequent Deterioration in Renal Allograft Function. Kidney International. 2017;91(1):183-195. PMID: 28029430 DOI: 10.1016/j.kint.2016.08.028
Jabbari F, Ramsey J, Spirtes P, Cooper GF. Discovery of causal models that contain latent variables through Bayesian scoring of independence constraints. In: Proceeding of the European Conference on Machine Learning (2017).
Kummerfeld E, Cooper GF. A new method for estimating causal model learning accuracy. In: Workshop on Data Mining for Medical Informatics (DMMI) – Causal Inference for Health Data Analytics (2017).
Naeini Pakdaman M, Jabbari F, Cooper GF. An assessment of the calibration of causal relationships learned using RFCI and bootstrapping. In: AMIA Workshop on Data Mining for Medical Informatics (DMMI) – Causal Inference for Health Data Analytics (2017).
Dunn MA, Josbeno DA, Schmotzer AR, Tevar AD, DiMartini AF, Landsittel DP, Delitto A. The gap between clinically assessed physical performance and objective physical activity in liver transplant candidates. Liver Transplantation. 2016;22(10):1324-1332. DOI: 10.1002/lt.24506
Fisher A. Ding M, Hochheiser H, Douglas G. (2016) Measuring time utilization of pharmacists in the Birmingham Free Clinic dispensary. BMC Health Services Research 16(1-7) DOI: 10.1186/s12913-016-17.
Hochheiser H, Castine M, Harris D, Savova G, Jacobson RS.  An information model for computable cancer phenotypes. BMC Medical Informatics and Decision Making. Sept. 2016: 1-15. doi=10.1186/s12911-016-0358-4.
Heyer CM, Sundsbak JL, Abebe KZ, Chapman AB, Torres VE, Grantham JJ, Bae KT, Schrier RW, Perrone RD, Braun WE, Steinman TI, Mrug M, Yu A, Brosnahan G, Hopp K, Bennett WM, Flessner MF, Moore CG, Landsittel D and Harris PC for the HALT PKD and CRISP Investigators. Predicted Mutation Strength of Nontruncating PKD1 Mutations Aids Genotype-Phenotype Correlations in Autosomal Dominant Polycystic Kidney Disease. Journal of the American Society of Nephrology. 2016; 27(9):2872-2884. PMID: 26823553 PMCID: PMC5004648 [Available on 2017-09-01] DOI: 10.1681/ASN.2015050583
McMurry JA, Köhler S, Washington NL, Balhoff JP, Borromeo C, Brush M, Carbon S, Conlin T, Dunn N, Engelstad M, Foster E, Gourdine JP, Jacobsen JO, Keith D, Laraway B, Xuan JN, Shefchek K, Vasilevsky NA, Yuan Z, Lewis SE, Hochheiser H, Groza T, Smedley D, Robinson PN, Mungall CJ, Haendel MA. Navigating the Phenotype Frontier: The Monarch Initiative. Genetics. 2016 Aug;203(4):1491-5. PMID: 27516611 PMCID: PMC4981258.
^