The incremental design of a machine learning framework for medical records processing.

Objectives: This work presents the development and evaluation of coordn8, a web-based application that streamlines fax processing in outpatient clinics using a "human-in-the-loop" machine learning framework. We demonstrate the effectiveness of the platform at reducing fax processing time and producing accurate machine learning inferences across the tasks of patient identification, document classification, spam classification, and duplicate document detection.

Methods: We deployed coordn8 in 11 outpatient clinics and conducted a time savings analysis by observing users and measuring fax processing event logs.

Dermatologic manifestations of zoonotic diseases transmitted by dogs: "Spot" could give you spots.

The bond between humans and dogs is precious and has been treasured since ancient times. Dog ownership is linked to numerous health benefits, such as increased physical activity and social functioning and decreased depression and cardiovascular events. However, dogs can transmit zoonotic diseases to humans, many of which present with cutaneous findings.

Tribology of steel/steel interaction in oil-in-water emulsion; a rationale for lubricity.

Oil droplets are dispersed in water by an anionic surfactant to form an emulsion. The lubricity of this emulsion in steel/steel interaction is explored in a ball on flat nanotribometer. The droplet size and charge are measured using dynamic light scattering, while the substrate charge density is estimated using the pH titration method.