Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...
Objective: Parkinson’s disease (PD) is a progressive neurodegenerative disorder that significantly impacts motor function and speech patterns. Early detection of PD through non-invasive methods, such ...
Objective SLE is a chronic autoimmune disease with immune complex deposition in various organs, causing inflammation. The Systemic Lupus Erythematosus Disease Activity Index 2000 assesses disease ...
Scientists are using machine learning to find new treatments among thousands of old medicines. Scientists are using machine learning to find new treatments among thousands of old medicines. Joseph ...
Abstract: This study uses a multidimensional dataset to evaluate the possibility of Decision Tree modeling for predicting chronic kidney disease (CKD). The procedure entailed methodically assembling a ...
Abstract: In Indonesia, diarrheal disease is still a global health problem. The degree of morbidity and mortality is quite high, ranking 3rd after TB and pneumonia. In developed countries, even though ...