Baanu Manoharan, Rosain Stennett, Russell J de Souza, Shrikant I Bangdiwala, Dipika Desai, Sujane Kandasamy, Farah Khan, Zainab Khan, Scott A Lear, Lawrence Loh, Rochelle Nocos, Karleen M Schulze, Gita Wahi, Sonia S Anand
Sociodemographic factors associated with vaccine hesitancy in the South Asian community in Canada
Canadian journal of public health = Revue canadienne de sante publique
objective study develop validate multiparametric mri model employing machine learning predict effectiveness treatment stage breast cancer study encompassed 400 female patients diagnosed breast cancer 200 individuals allocated control experimental groups undergoing examinations shenzhen china period 20172023 study pertains retrospective research multiparametric mri employed extract data concerning tumor size blood flow metabolism model achieved high accuracy predicting treatment outcomes accuracy 92 sensitivity 88 specificity 95 model effectively classified breast cancer stages stage 38 p 0027 stage ii 72 p 0014 stage iii 50 p 0032 stage iv 45 p 0041 developed model utilizing multiparametric mri machine learning exhibits high accuracy predicting effectiveness treatment breast cancer staging findings affirm models potential enhance treatment strategies personalize approaches patients diagnosed breast cancer study presents innovative approach diagnosis treatment breast cancer integrating mri data machine learning algorithms demonstrate developed model exhibits high accuracy predicting treatment efficacy differentiating cancer stages underscores importance utilizing mri machine learning algorithms enhance diagnosis individualization treatment disease