Author: Mohammad Motaghianfar Abstract Background: Autism screening tools like the AQ-10 were largely developed in Western settings. When used globally, they may unintentionally favor certain[…]
Author: Mohammad Motaghianfar Abstract Background: Healthcare costs are rising quickly, and understanding what drives them has become essential. Traditional prediction models often miss the mark[…]
Author: Mohammad Motaghianfar Abstract Farming faces growing challenges from climate change and pests, making early crop stress detection vital for food security. Current tools often[…]
Author: Mohammad Motaghianfar Abstract Heart disease is a global killer, and lifestyle changes like quitting smoking are key to prevention. But not everyone benefits the[…]
Author: Mohammad Motaghianfar Abstract Heart disease is a major global health issue, and lifestyle changes like quitting smoking are often recommended to prevent it. However,[…]
Author: Mohammad Motaghianfar Abstract Predicting crop yields accurately is vital for ensuring food security worldwide, but most machine learning models only give a single number[…]
Author: Mohammad Motaghianfar Abstract Parkinson’s Disease (PD) affects millions globally, with speech changes often appearing early. Most AI models need large amounts of labeled data,[…]
Author: Mohammad Motaghianfar Abstract Access to clean drinking water is a major global health issue. Traditional methods rely on fixed standards, while many machine learning[…]
Author: Mohammad Motaghianfar Abstract Keeping blood pressure (mean arterial pressure, MAP) above 65 mmHg is standard in critical care, but studies often get skewed because[…]
Author: Mohammad Motaghianfar Abstract Credit card fraud costs billions yearly and is tough to catch due to rare cases and sneaky, evolving tactics. Most detection[…]