Isaraporn Thepwongsa, Radhakrishnan Muthukumar, Poompong Sripa, Sakda Waraassawapati, Kamonwan Jenwitheesuk, Surapol Virasiri, Pat Nonjui
The perspectives of learners at a public medical school on the evaluation of an online learning management system for degree and non-degree courses
Medical education online
imputing data critical issue machine learning practitioners including life sciences domain missing clinical data typical situation reliability imputation great importance currently canonical approach imputation clinical data widely used algorithms introduce variance downstream classification propose novel imputation methods based determinantal point processes dpp enhance popular techniques multivariate imputation chained equations missforest advantages twofold improving quality imputed data demonstrated increased accuracy downstream classification providing deterministic reliable imputations remove variance classification results experimentally demonstrate advantages methods performing extensive imputations synthetic real clinical data also perform quantum hardware experiments applying quantum circuits dpp sampling since quantum algorithms provide computational advantage respect classical ones demonstrate competitive results 10 qubits smallscale imputation tasks stateoftheart ibm quantum processor classical quantum methods improve effectiveness robustness clinical data prediction modeling providing better reliable data imputations improvements add significant value settings demanding high precision pharmaceutical drug trials approach provide higher confidence predictions made