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accurate mortality forecastsKAUST Discovery
•89% Informative
KAUST researchers have developed a model that improves mortality forecasting and can be applied to population sub-groups, based on factors such as age and gender, among others.
Their method involves breaking down HDFTS into two main components: a deterministic component (such as population or state) that remains constant over time and a functional residual component that varies over time.
Populations can be further categorized based on gender, state, ethnic group, socioeconomic status and other factors.
VR Score
95
Informative language
99
Neutral language
60
Article tone
formal
Language
English
Language complexity
95
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
1
Source diversity
1
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