A CARDIOVASCULAR DISEASE PREDICTION MODEL BASED ON ROUTINE PHYSICAL EXAMINATION INDICATORS USING MACHINE LEARNING METHODS: A COHORT STUDY

A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study

BackgroundCardiovascular diseases (CVD) are currently the leading cause of premature death worldwide.Model-based early detection of high-risk populations for CVD is the key to CVD prevention.Thus, this research aimed to use machine learning (ML) algorithms to establish a CVD prediction model based on routine physical examination indicators suitable

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Effect of the instar of the pear psyllid Cacopsylla pyri (Hemiptera: Psyllidae) on the behaviour and fitness of the parasitoid Trechnites insidiosus (Hymenoptera: Encyrtidae)

Improved methods of integrated pest management of the pear psyllid Cacopsylla pyri (L.), the primary pest of pear in Europe and North America, are needed.Trechnites insidiosus (Crawford) is the most abundant parasitoid of C.pyri in pear orchards, where it is present early in the psyllid infestation period.However, little is known about its general

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Detecting and Preventing Defensive Reactions Toward Persuasive Information on Fruit and Vegetable Consumption Using Induced Eye Movements

Objective: Persuasive messages regarding fruit and vegetable consumption often meet defensive reactions from recipients, which may lower message effectiveness.Individual differences in emotion regulation and gender are expected to predict these reactions.In the working memory account of persuasion, inducing voluntary eye movements during the proces

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