Researchers developed a two-stage machine learning framework that detected diabetes and classified records as prediabetes, type 1, type 2, or type 3c diabetes using two public datasets. XGBoost showed ...
Abstract: The use of machine learning in healthcare is really important because it helps doctors find health problems early and manage patients better. In this study, we just tried to find out which ...
How the Georgia congresswoman went from the president’s loudest cheerleader to his loudest Republican critic. Credit...Philip Montgomery for The New York Times Supported by By Robert Draper Robert ...
ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
Saddle height is an important factor in bike fitting because it correlates with cycling efficiency and the risk of injuries. Conventional approaches use anthropometric parameters and joint angles as ...
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...
Abstract: In bioinformatics, the exact classification of DNA sequences is essential to increasing comprehension of genetic structures and functionalities. This research introduces an enhanced Naive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results