FORECAST THE EXACERBATION IN PATIENTS OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE WITH CLINICAL INDICATORS USING MACHINE LEARNING TECHNIQUES

Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques

Preventing exacerbation and seeking to determine the severity of the disease during the hospitalization of chronic obstructive pulmonary disease (COPD) patients is a crucial global initiative for chronic obstructive lung disease (GOLD); this option is available only for stable-phase patients.Recently, the assessment and prediction techniques that a

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Impaired B Cell Function in Mice Lacking Perforin-2

Perforin-2 (P2) is a pore-forming protein with cytotoxic activity against intracellular bacterial pathogens.P2 knockout (P2KO) mice are tenma vineyard unable to control infections and die from normally non-lethal bacterial infections.Here we show that P2KO mice as compared to WT mice show significantly higher levels of systemic inflammation, measur

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