M Mohamed Musthafa, I Manimozhi, T R Mahesh, Suresh Guluwadi
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques
BMC medical informatics and decision making
article presents revision process major innovations clinimetric testing program movement disorder society mdssponsored revision unified parkinsons disease rating scale updrs known mdsupdrs updrs widely used scale clinical study parkinsons disease pd mds previously organized critique updrs cited many strengths recommended revision scale accommodate new advances resolve problematic areas mdsupdrs committee prepared revision using recommendations published critique scale subcommittees developed new material reviewed entire committee 1day facetoface committee meeting organized resolve areas debate arrive working draft ready clinimetric testing mdsupdrs retains updrs structure four parts total summed score parts modified provide section integrates nonmotor elements pd nonmotor experiences daily living ii motor experiences daily living iii motor examination iv motor complications items five response options uniform anchors 0 normal 1 slight 2 mild 3 moderate 4 severe several questions part part ii written patientcaregiver questionnaire total rater time remain approximately 30 minutes detailed instructions testing data acquisition accompany mdsupdrs order increase uniform usage multiple language editions planned threepart clinimetric program provide testing reliability validity responsiveness interventions although mdsupdrs published successfully passed clinimetric testing explanation process key changes clinimetric programs allow clinicians researchers understand participate revision process