Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Objectives Since 1985, the international healthcare community has recommended the ideal rate of caesarean section (CS) to be 10%–15% at the national level. The literature has reported that overused CS ...
Background Anticoagulation non-adherence is attributed to myriad factors in patient populations across the world. While direct oral anticoagulants (DOACs) have demonstrated several clinical advantages ...
Endovascular thrombectomy for large vessel occlusion stroke in patients with pre-existing disability
Background Approximately one in three patients with acute ischemic stroke (AIS) suffer from a premorbid disability prior to ...
Primary and secondary outcome measures Children’s mental health was assessed using the Mental Health Test; parental anxiety and depression were measured with the Generalised Anx ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Abstract: Customers are the life blood of any business, and their importance cannot be overstated. Customers are a business’s primary source of revenue. Retaining and gaining new clients is crucial to ...
Abstract: Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key ...
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