Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.

Researchers evaluated the impact of the timing of COVID-19 infection during pregnancy on both maternal illness severity and pregnancy outcomes.

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

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There are stark socioeconomic and ethnic inequalities in babies admitted to and who die in neonatal units in England and ...