Eurekalert February 15, 2019
According to the researchers at Rice University machine learning field has focused on developing predictive models that allow machine learning to make predictions about future data based on its understanding of data it has studied. A lot of these techniques are designed to always make a prediction. They never come back with ‘I don’t know,’ or ‘I didn’t discover anything,’ because they aren’t made to. People have applied machine learning to genomic data from clinical cohorts to find groups, or clusters, of patients with similar genomic profiles. But there are cases where discoveries aren’t reproducible; the clusters discovered in one study are completely different than the clusters found in another. Work is underway on next-generation machine-learning systems that will assess the uncertainty and reproducibility of their predictions…read more.