The Annals of Statistics, Vol. 43, No. 4 (August 2015), pp. 1716-1741 (26 pages) Random forests are a learning algorithm proposed by Breiman [Mach. Learn. 45 (2001) 5-32] that combines several ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

To generate large and highly detailed forest maps, the researchers trained a type of machine learning algorithm called a deep neural network using images of the tree canopy and other sensor data ...

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...