Social anxiety disorder (SAD) affects many people. It makes them very scared of social situations. Doctors need to detect SAD early to help people sooner. But this is hard because those with SAD avoid social settings. Also, questionnaires used now have problems like personal opinions influencing res
Machine learning (ML) has become a go-to tool in hospitals for predicting clinical risks. But here's a big challenge: these models don't always work as well over time. Why is that? The systems and data these models rely on are constantly changing, which can make the predictions less accurate. This c
Imagine trying to teach a machine to read a complex document like a scientist's notes. You'd face a situation where you need different machine learning methods for different text sections—like paragraphs and tables. It's like having multiple detectives each solving a piece of a jigsaw puzzle without
Air pollution, specifically fine particulate matter (PM2. 5), is a big problem in many Chinese cities. To tackle this, researchers used a machine-learning model that combines CatBoost and Tree-Structured Parzen Estimator (TPE) to study PM2. 5 levels in 297 cities from 2000 to 2021. They found that s
Ever wondered how we can make wastewater treatment plants work more efficiently? Scientists have come up with a clever way to predict changes in water quality, which is really important for managing the process and reducing pollution. They combined something called convolutional bi-directional gated
Ensuring the safety of medicines during pregnancy is really important, but it's tricky because pregnant women are often left out of clinical trials. This makes it hard to figure out how drugs might affect them. A recent study tried to solve this problem by using advanced AI and machine learning to p
Imagine you've just had a kidney stone removed through a procedure called retrograde intrarenal surgery. While most people recover well, some may face a dangerous infection called sepsis. A team of researchers has created a predictive model using machine learning to help doctors spot how likely some
Ever wondered if some simple body measurements could tell us how happy people are with their breasts? Well, scientists decided to explore this idea. They wanted to see if there's a link between breast size and shape, and how women feel about them, especially in those who haven't had any surgery. The
Spotting brain tumors in MRI scans can be tricky. Doctors rely on manual checks and sometimes help from computers, but these methods have their drawbacks. They might not work well on all scans due to the tumors' complex shapes and the need for precise analysis. Also, these systems can be slow and ma
Hip fractures can be a real challenge for older adults. Scientists wondered if computers could help doctors figure out which patients might face short-term complications after surgery. They compared two methods: traditional approaches and powerful computer algorithms called machine learning. Surpris
