Every two years, the India State of Forest Report (ISFR) produced by the Forest Survey of India (FSI) is released with much fanfare by the government, each time showing an infinitesimal increase in ...

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

These findings could have significant implications for clinical decision-making, offering a reliable tool for predicting patient outcomes in heart failure management.

Decision Tree,Deep Learning,Diabetic Patients,Diagnosis Of Disease,Disease In Diabetic Patients,Disease Patients,Disease Prediction,Feature Selection Methods,Heart Disease Classification,Heart Disease ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Functional dizziness was the most frequent diagnosis (32.5%), followed by vestibular migraine (20.2%) and Menière's disease (13.3%). Using classification ... yield a visually attractive tree structure ...

The aims of the initial assessment are to establish or confirm the diagnosis, to identify disease-specific ... they are crucial for the correct decision-making process. Beyond all these favorable ...

This classification has not been ... to evaluate the likelihood of coronary artery disease. Algorithm for the initial investigation of patients with acute myocardial injury We propose a simple ...

Sotagliflozin, a drug recently approved by the Food and Drug Administration to treat type 2 diabetes and kidney disease with additional cardiovascular risk factors, can significantly reduce heart ...