Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
Abstract: Nowadays, heart disease is a serious medical issue, and diagnosis is crucial to providing the proper treatment to the patient. Hence, machine learning (ML)-based early diagnosis of heart ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Generally, the process for fitting a logistic regression model using scikit-learn is very similar to that which you previously saw for statsmodels. One important exception is that scikit-learn will ...
Abstract: The friction coefficient is a pivotal parameter that reflects the airworthiness condition of an airport runway. Although numerous innovative methods and techniques for measuring the runway ...
Objective: To develop and validate a logistic regression model predicting postoperative malnutrition risk in elderly patients using clinical, dietary, and nutritional data. Table 1. Comparison of ...
Development and validation of a diagnostic model for tuberculous meningitis based on laboratory data
1 School of Basic Medical Sciences, North Henan Medical University, Xinxiang, China 2 Department of Medical Laboratory, Henan Provincial Chest Hospital, Zhengzhou, China Objective: We developed and ...
Planning and operating a power system requires detailed grid studies to guide investment decisions and prepare for how the system may evolve over time. Long-term planning can identify the policy, ...
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