David Ryan, Hannah Nutting, Chloe Parekh, Suzie Crookes, Lauren Southgate, Kenzie Caines, Phoebe Dear, Abel John, Muhammed Adnan Rehman, Dawn Davidson, Usayd Abid, Lewis Davidson, Katy A Shire, Rosemary R C McEachan
Ready, set, co(produce): a co-operative inquiry into co-producing research to explore adolescent health and wellbeing in the Born in Bradford Age of Wonder project
Research involvement and engagement
microbiome dysbiosis recently associated different diseases disorders context machine learning ml approaches useful either identify new patterns learn predictive models however data fed ml methods subject different sampling sequencing preprocessing techniques different choice pipeline lead different view ie feature set individuals classical singleview ml approaches may fail simultaneously consider moreover views may incomplete ie individuals may missing views possibly due absence measurements fact features availableapplicable individuals multiview learning methods represent possible solution consider multiple feature sets individuals existing multiview learning methods limited binary classification tasks cannot work incomplete views propose irboostsh extension multiview boosting algorithm rboostsh based multiarmed bandits irboostsh solves multiclass classification tasks analyze incomplete views iteration identifies one winning view using adversarial multiarmed bandits uses predictions update shared instance weight distribution learning process based boosting experiments performed 5 multiview microbiome datasets model learned irboostsh always outperforms best model learned single view closest competitor rboostsh model learned multiview approach based feature concatenation reaching improvement 118 f1score prediction autism spectrum disorder 114 prediction colorectal cancer disease proposed method irboostsh exhibited outstanding performances experiments also compared competitor approaches obtained results confirm irboostsh fruitfully adopted analysis microbiome data due capability simultaneously exploit multiple feature sets obtained different sequencing preprocessing pipelines