Diagnostic pathology reports are crucial for accurate identification of disease (or lack thereof), yet due to the unstructured nature of these reports, they are not easily consumable by promising ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Chemotherapy plus PD-1/PD-L1 inhibitor versus chemotherapy alone in first-line treatment for recurrent or advanced endometrial cancer: A systematic review and meta-analysis of randomized controlled ...

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

Many organizations have already begun to realize the benefits of artificial intelligence, from automating routine tasks to ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...