Donghun Kim, Ting Jiang, Ji Hyun Baek, Sou Hyun Jang, Yongjun Zhu
Understanding and comparing risk factors and subtypes in South Korean adult and adolescent women's suicidal ideation or suicide attempt using survey and social media data
Digital health
article describes range highdimensional data visualization strategies explored ability complement machine learning algorithm predictions derived multiflow assay results exercise focused seven biomarker responses resulting exposure tk6 cells 126 diverse chemicals range concentrations obviously challenges associated visualizing seven biomarker responses complicated whenever desire represent entire 126 chemical data set opposed results single chemical scatter plots spider plots parallel coordinate plots hierarchical clustering principal component analysis toxicological prioritization index multidimensional scaling tdistributed stochastic neighbor embedding uniform manifold approximation projection considered turn report provides comparative analysis techniques era multiplexed assays machine learning algorithms becoming norm stakeholders find visualization strategies useful efficiently effectively interpreting highdimensional data