Found 257 results
Author Title Type [ Year(Asc)]
Luo Y, Uzuner Ö, Szolovits P.  2017.  Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.. Brief Bioinform. 18(1):160-178.
Dernoncourt F, Lee JYoung, Uzuner Ö, Szolovits P.  2017.  De-identification of patient notes with recurrent neural networks.. J Am Med Inform Assoc. 24(3):596-606.
Stubbs A, Filannino M, Uzuner Ö.  2017.  De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1.. J Biomed Inform. 75S:S4-S18.
Ong M-S, Mullen MP, Austin ED, Szolovits P, Natter MD, Geva A, Cai T, Kong SWon, Mandl KD.  2017.  Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension.. Circ Res. 121(4):341-353.
Luo Y, Thompson WK, Herr TM, Zeng Z, Berendsen MA, Jonnalagadda SR, Carson MB, Starren J.  2017.  Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.. Drug Saf. 40(11):1075-1089.
Hoogendoorn M, Berger T, Schulz A, Stolz T, Szolovits P.  2017.  Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.. IEEE J Biomed Health Inform. 21(5):1449-1459.
Yu S, Chakrabortty A, Liao KP, Cai T, Ananthakrishnan AN, Gainer VS, Churchill SE, Szolovits P, Murphy SN, Kohane IS et al..  2017.  Surrogate-assisted feature extraction for high-throughput phenotyping.. J Am Med Inform Assoc. 24(e1):e143-e149.
Filannino M, Stubbs A, Uzuner Ö.  2017.  Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2.. J Biomed Inform. 75S:S62-S70.
Luo Y, Ahmad FS, Shah SJ.  2017.  Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction.. J Cardiovasc Transl Res. 10(3):305-312.
Luo Y, Wang F, Szolovits P.  2017.  Tensor factorization toward precision medicine.. Brief Bioinform. 18(3):511-514.
Wu M, Ghassemi M, Feng M, Celi LA, Szolovits P, Doshi-Velez F.  2017.  Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.. J Am Med Inform Assoc. 24(3):488-495.
Aboab J, Celi LAnthony, Charlton P, Feng M, Ghassemi M, Marshall DC, Mayaud L, Naumann T, McCague N, Paik KE et al..  2016.  A "datathon" model to support cross-disciplinary collaboration.. Sci Transl Med. 8(333):333ps8.
Celi LAnthony, Lokhandwala S, Montgomery R, Moses C, Naumann T, Pollard T, Spitz D, Stretch R.  2016.  Datathons and Software to Promote Reproducible Research.. J Med Internet Res. 18(8):e230.
Luo Y, Szolovits P.  2016.  Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records.. Biomed Inform Insights. 8:29-38.
Dernoncourt F, Lee JYoung, Uzuner Ö, Szolovits P.  2016.  Feature-Augmented Neural Networks for Patient Note De-identi\-fication. COLING.
Manrai AK, Funke BH, Rehm HL, Olesen MS, Maron BA, Szolovits P, Margulies DM, Loscalzo J, Kohane IS.  2016.  Genetic Misdiagnoses and the Potential for Health Disparities.. N Engl J Med. 375(7):655-65.
Johnson AEW, Pollard TJ, Shen L, Lehman L-WH, Feng M, Ghassemi M, Moody B, Szolovits P, Celi LAnthony, Mark RG.  2016.  MIMIC-III, a freely accessible critical care database.. Sci Data. 3:160035.
Rumshisky A, Ghassemi M, Naumann T, Szolovits P, Castro VM, McCoy TH, Perlis RH.  2016.  Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.. Transl Psychiatry. 6(10):e921.
Hoogendoorn M, Hassouni AEl, Mok K, Ghassemi M, Szolovits P.  2016.  Prediction using patient comparison vs. modeling: a case study for mortality prediction.. Conf Proc IEEE Eng Med Biol Soc. 2016:2464-2467.
Lynch KE, Ghassemi F, Flythe JE, Feng M, Ghassemi M, Celi LAnthony, Brunelli SM.  2016.  Sodium modelling to reduce intradialytic hypotension during haemodialysis for acute kidney injury in the intensive care unit.. Nephrology (Carlton). 21(10):870-7.
Luo Y, Szolovits P, Dighe AS, Baron JM.  2016.  Using Machine Learning to Predict Laboratory Test Results.. Am J Clin Pathol. 145(6):778-88.
Hoogendoorn M, Szolovits P, Moons LMG, Numans ME.  2016.  Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer.. Artif Intell Med. 69:53-61.