Quantitative Structure-Activity Relationship (QSAR) is a computer-aided technology in the field of medicinal chemistry that seeks to clarify the relationships between molecular structures and their ...

Internal iliac and obturator lymph nodes are common sites of metastasis in rectal cancer. This study developed a machine learning (ML) model using clinical data to predict lymph node metastasis and ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...

cDepartment of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China dDepartment of Obstetrics and Gynecology, Sanming First Hospital ...

Understand the concept of human intelligence and its various components such as reasoning, problem-solving, and creativity. Moral Machine Activity: a platform for gathering a human perspective on ...

Abstract: In this paper, we have designed and implemented a solution for the detection of cyber threats using supervised machine learning (ML). An effective software program was adapted and refined in ...

This cross-sectional study was conducted between June 2011 and January 2012. The participants were randomly selected using a simple random sampling technique. Seven commonly used machine learning ...

I originally created this as a short to-do list of study topics for becoming a software engineer, but it grew to the large list you see today. After going through this study plan, I got hired as a ...

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...

free, open source, available for download and used in the production of, or provides access to, official statistics. We prefer software that is easy to install and use and actively maintained.