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Cardiovascular disease (CVD)<\/strong>, with its primary forms of coronary heart disease and stroke, stands as the leading cause of death worldwide, with significant social and economic consequences.<\/span><\/p>\n [\/vc_column_text][vc_empty_space height=”30px”][\/vc_column][vc_column width=”1\/2″ rt_wrp_col_paddings=”false” rt_border_top=”” rt_border_bottom=”” rt_border_left=”” rt_border_right=”” rt_border_top_mobile=”” rt_border_bottom_mobile=”” rt_border_left_mobile=”” rt_border_right_mobile=”” rt_bg_image_repeat=”repeat” rt_bg_size=”auto auto” rt_bg_position=”right top” rt_bg_attachment=”scroll”][vc_single_image image=”119″ img_size=”full” alignment=”center”][\/vc_column][vc_column width=”1\/2″ rt_wrp_col_paddings=”false” rt_border_top=”” rt_border_bottom=”” rt_border_left=”” rt_border_right=”” rt_border_top_mobile=”” rt_border_bottom_mobile=”” rt_border_left_mobile=”” rt_border_right_mobile=”” rt_bg_image_repeat=”repeat” rt_bg_size=”auto auto” rt_bg_position=”right top” rt_bg_attachment=”scroll”][vc_empty_space height=”150px”][vc_column_text]The primary challenge<\/strong> in the management of CVD lies in the identification of individuals at high risk of developing cardiovascular disease, given the majority of cardiac incidents, whether fatal or non-fatal, tend to occur in individuals\u00a0 without prior history of CVD.<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row rt_row_background_width=”fullwidth” rt_row_content_width=”default” rt_row_style=”default-style” rt_row_borders=”” rt_row_paddings=”true” rt_bg_effect=”classic” rt_bg_image_repeat=”repeat” rt_bg_size=”cover” rt_bg_position=”right top” rt_bg_attachment=”scroll” rt_bg_video_format=”self-hosted” rt_padding_bottom=”0″][vc_column rt_wrp_col_paddings=”false” rt_border_top=”” rt_border_bottom=”” rt_border_left=”” rt_border_right=”” rt_border_top_mobile=”” rt_border_bottom_mobile=”” rt_border_left_mobile=”” rt_border_right_mobile=”” rt_bg_image_repeat=”repeat” rt_bg_size=”auto auto” rt_bg_position=”right top” rt_bg_attachment=”scroll”][vc_column_text]<\/p>\n \u00a0In an effort to accurately classify and identify individuals who are more likely to experience cardiovascular events, several statistical models<\/strong> have been developed in recent years to assess the CVD risk<\/strong> (cardiovascular risk scores). However, these statistical models appear to be prone to methodological constraints that often result in either under or overestimation of cardiovascular risk. This emphasizes the necessity for the development of novel approaches to enhance their performance.<\/span><\/p>\n [\/vc_column_text][\/vc_column][\/vc_row][vc_row rt_row_background_width=”fullwidth” rt_row_content_width=”default” rt_row_style=”default-style” rt_row_borders=”” rt_row_paddings=”true” rt_bg_effect=”classic” rt_bg_image_repeat=”repeat” rt_bg_size=”cover” rt_bg_position=”right top” rt_bg_attachment=”scroll” rt_bg_video_format=”self-hosted” rt_padding_top=”0″][vc_column width=”1\/2″ rt_wrp_col_paddings=”false” rt_border_top=”” rt_border_bottom=”” rt_border_left=”” rt_border_right=”” rt_border_top_mobile=”” rt_border_bottom_mobile=”” rt_border_left_mobile=”” rt_border_right_mobile=”” rt_bg_image_repeat=”repeat” rt_bg_size=”auto auto” rt_bg_position=”right top” rt_bg_attachment=”scroll”][vc_single_image image=”124″ img_size=”full” alignment=”center”][\/vc_column][vc_column width=”1\/2″ rt_wrp_col_paddings=”false” rt_border_top=”” rt_border_bottom=”” rt_border_left=”” rt_border_right=”” rt_border_top_mobile=”” rt_border_bottom_mobile=”” rt_border_left_mobile=”” rt_border_right_mobile=”” rt_bg_image_repeat=”repeat” rt_bg_size=”auto auto” rt_bg_position=”right top” rt_bg_attachment=”scroll”][vc_empty_space height=”150px”][vc_column_text]<\/p>\n The aim of the EUCARDIA<\/strong> project is the design, development and implementation of an innovative online platform utilizing artificial intelligence (AI) models to provide personalized cardiovascular risk prediction (assessment) for the Greek population. 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