Mark S Hochberg, Adina Kalet, Sondra Zabar, Elizabeth Kachur, Colleen Gillespie, Russell S Berman
Can professionalism be taught? Encouraging evidence
American journal of surgery
determination water quality heavily depends selection parameters recorded water samples water quality index wqi datadriven methods including machine learning models statistical approaches frequently used refine parameter set four main reasons reducing cost uncertainty addressing eclipsing problem enhancing performance models predicting wqi despite widespread use noticeable gap comprehensive reviews systematically examine previous studies area reviews essential assess validity objectives demonstrate effectiveness datadriven methods achieving goals paper sets two primary aims first provide review existing literature methods selecting parameters second seeks delineate evaluate four principal motivations parameter selection identified literature manuscript categorizes existing studies two methodological groups refining parameters one focuses preserving information within dataset another ensures consistent prediction using full set parameters characterizes group evaluates effectively approach meets four predefined objectives study presents minimal wqi approach common categories approach successfully reduced recording costs nonetheless notes simply reducing number parameters guarantee cost savings furthermore group studies classified preserving information within dataset demonstrated potential decrease eclipsing problem whereas studies consistent prediction group able mitigate issue additionally since datadriven approaches still rely initial parameters chosen experts eliminate need expert judgment study points wqi formula straightforward expedient tool assessing water quality consequently paper argues employing machine learning solely reduce number parameters enhance wqi prediction standalone solution rather objective integrated comprehensive set research goals critical analysis research objectives characterization previous studies lay groundwork future research groundwork enable subsequent studies evaluate proposed methods effectively achieve objectives