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) ...

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

Random forests are the algorithm of choice for finance-focused machine learning models, as it can lower the time taken for pre-processing and data management tasks.

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

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

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 ...