Download PDF
CC BY-NC-ND 4.0 · Yearb Med Inform 2019; 28(01): 138-139
DOI: 10.1055/s-0039-1677930
Section 5: Decision Support
Best Paper Selection
Georg Thieme Verlag KG Stuttgart

Best Paper Selection

Further Information

Publication History

Publication Date:
16 August 2019 (online)

   Permissions and Reprints

Banerjee I, Gensheimer MF, Wood DJ, Henry S, Aggarwal S, Chang DT, Rubin DL. Probabilistic prognostic estimates of survival in metastatic cancer patients (PPES-Met) utilizing free-text clinical narratives. Sci Rep 2018 Jul 3;8(1):10037 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030075/

Ray S, McEvoy DS, Aaron S, Hickman TT, Wright A. Using statistical anomaly detection models to find clinical decision support malfunctions. J Am Med Inform Assoc 2018 Jul 1;25(7):862-71 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016695/

Simon G, DiNardo CD, Takahashi K, Cascone T, Powers C, Stevens R, Allen J, Antonoff MB, Gomez D, Keane P, Suarez Saiz F, Nguyen Q, Roarty E, Pierce S, Zhang J, Hardeman Barnhill E, Lakhani K, Shaw K, Smith B, Swisher S, High R, Futreal PA, Heymach, Chin L. Applying Artificial Intelligence to address the knowledge gaps in cancer care. Oncologist 2018 Nov 16 pii: theoncologist.2018-0257 http://theoncologist.alphamedpress.org/content/24/6/772.long

Tsopra R, Lamy JB, Sedki K. Using preference learning for detecting inconsistencies in clinical practice guidelines: methods and application to antibiotherapy. Artif Intell Med 2018 Jul;89:24-33 https://www.sciencedirect.com/science/article/pii/S0933365718300873?via%3Dihub