TY - JOUR AU - Köpcke, Felix AU - Lubgan, Dorota AU - Fietkau, Rainer AU - Scholler, Axel AU - Nau, Carla AU - Stürzl, Michael AU - Croner, Roland AU - Prokosch, Hans-Ulrich AU - Toddenroth, Dennis PY - 2013 DA - 2013/12/09 TI - Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data JO - BMC Medical Informatics and Decision Making SP - 134 VL - 13 IS - 1 AB - The necessity to translate eligibility criteria from free text into decision rules that are compatible with data from the electronic health record (EHR) constitutes the main challenge when developing and deploying clinical trial recruitment support systems. Recruitment decisions based on case-based reasoning, i.e. using past cases rather than explicit rules, could dispense with the need for translating eligibility criteria and could also be implemented largely independently from the terminology of the EHR’s database. We evaluated the feasibility of predictive modeling to assess the eligibility of patients for clinical trials and report on a prototype’s performance for different system configurations. SN - 1472-6947 UR - https://doi.org/10.1186/1472-6947-13-134 DO - 10.1186/1472-6947-13-134 ID - Köpcke2013 ER -