Rogério de Almeida Lopes, Marcos Kubrusly, Silvia Fernandes Ribeiro da Silva, Hermano Alexandre Lima Rocha
Impact of the use of active methodology on the performance of undergraduate radiology students
Current problems in diagnostic radiology
defining profiles patients could benefit relevant anticancer treatments essential increasing number specific criteria necessary eligible specific anticancer therapies study aimed develop automated algorithm able detect patient tumor characteristics reduce timeconsuming prescreening trial inclusions without delay hence 640 anonymized multidisciplinary team meetings mtm reports concerning lung cancers one french teaching hospital data warehouse 2018 2020 annotated automate extraction eight major eligibility criteria corresponding 52 classes regular expressions implemented regexs evaluation gave f1score 93 average positive predictive value precision 98 sensitivity recall 92 however mtm fill rates variabilities among patient tumor information remained important 31 100 genetic mutations rearrangement test results least reported characteristics also hardest automatically extract ease prescreening clinical trials prescious study demonstrated additional value rule based machine learning based methods applied lung cancer mtm reports