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Machine learning heeft grote voorspelkracht. Kan die worden ingezet om gezondheidsrisico’s van te voren in te schatten? Kan machine learning helpen bij een preventief gezondheidsbeleid? CPB’er Emile Cammeraat bespreekt het in zijn column. →

Setbacks such as dismissal or illness can turn the lives of people upside down. This study shows that such adverse events can be anticipated in advance and that their occurrence is strongly interrelated. →

Setbacks such as dismissal or illness can turn the lives of people upside down. This study shows that such adverse events can be anticipated in advance and that their occurrence is strongly interrelated. →

Setbacks such as dismissal or illness can turn the lives of people upside down. This study shows that such adverse events can be anticipated in advance and that their occurrence is strongly interrelated. →

Setbacks such as dismissal or illness can turn the lives of people upside down. This study shows that such adverse events can be anticipated in advance and that their occurrence is strongly interrelated. →

Setbacks such as dismissal or illness can turn the lives of people upside down. This study shows that such adverse events can be anticipated in advance and that their occurrence is strongly interrelated. →