Stunting, a clear sign of long-term undernutrition, shows that a child isn't growing as they should. While most studies in Ethiopia focus on early childhood and use traditional methods, this research took a different path. It aimed to find the best machine learning model to predict stunting among te
Adolescent depression can have a big impact on daily life and future growth. Scientists believe that both childhood and teen years play a role in these symptoms. Machine learning, a fancy tool in data science, is being used more and more to understand teen depression. But here’s the thing: most stud
You might think bipolar disorder (BD) and major depressive disorder (MDD) are hard to tell apart because they share similar symptoms. This can lead to mix-ups by doctors, called misdiagnosis. But what if we could use brain scans and smart computers to figure it out? That's what researchers tried in
Did you know that asthma attacks can be triggered by simple things like pollutants in the air, viruses, exercising, or even allergens? Scientists are now using machine learning to help predict and warn patients about these triggers. They trained and tested lightweight models like XGBoost, Random For
Neurodegenerative diseases are like intricate puzzles that scientists are working hard to solve. They affect both small components (like molecules and cells) and large aspects (such as physiology) of the brain. Traditional tools aren't doing the job well, but a new technology called microfluidics mi
Ever heard of the "no-show" issue in healthcare? It's when patients book appointments but don't turn up. We looked at this over five years with 21, 969 patients. Our study created a special model to solve this problem. This model not only predicts no-shows but also helps manage service capacity and
Imagine diving into the factors that influence the weight status of older adults in the Philippines. Scientists recently used high-tech methods to find out what in our neighborhoods might be making us gain or lose weight. They combined data from satellites, maps, and a big health survey done in 2021
Hospitals all over the world are facing a big challenge: more people need help, but there's only so much space and time. This problem is often made worse by patients who no longer need intensive care but can't leave yet – we call them ALC patients. They take up beds and create crowds, which isn't go
Forecasting carbon prices is vital for smart government decisions and stable carbon markets. But with so many factors at play, from economics to politics, predictions often go awry. This is where a new model comes in, blending dual decomposition and error correction. First, the model breaks down car
Breast cancer grades, which are determined by cell structure, are crucial for planning treatment. Many researchers rely on deep learning (DL) models for this task. However, DL models can be a bit of a mystery. It's unclear which features they use to make accurate predictions. A recent study introduc
