Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now ...

Please provide your email address to receive an email when new articles are posted on . Four adnexal mass classification algorithms successfully distinguished lesions when used by a novice operator. A ...

There are 5.4 million new cases of skin cancer in the United States 2 every year. One in five Americans will be diagnosed with a cutaneous malignancy in their lifetime. Although melanomas represent ...

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter. The ...

Objective: This study developed and tested a computer method to automatically assign subjects to aggregate work groups based on their free text work descriptions. Methods: The Double Root Extended ...

Reliable measures of emergency department (ED) use are important for studying ED utilization and access to care. We assessed the association of emergent classification of an ED visit based on the New ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But in ...