Highlight: Detecting early warning signs and disease transition in alcohol addiction

2018-01-11 11:26 by Sandra Helinski (comments: 0)

e:Med researchers from the SysMedAlcoholism consortium and their cooperation partners at the University of Tokyo found out for the first time by means of a new computational approach that the transition into an addictive drinking behavior are preceded by predictive "early warning signals". The analytical approach to elaborate longitudinal data has the potential to predict the onset of illness and changes in various stages of the disease in the state of health.

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Highlight: Detecting early warning signs and disease transition in alcohol addiction

2018-01-11 11:26 by Sandra Helinski (comments: 0)

e:Med researchers from the SysMedAlcoholism consortium and their cooperation partners at the University of Tokyo found out for the first time by means of a new computational approach that the transition into an addictive drinking behavior are preceded by predictive "early warning signals". The analytical approach to elaborate longitudinal data has the potential to predict the onset of illness and changes in various stages of the disease in the state of health.

Go back