Abstract: A system is configured to: (a) provide a deep learning model; (b) receive a concept, the concept including text; (c) determine a word embedding representing the concept using the deep learning model; (d) determine a centroid for the concept, the centroid representing an average position of concept characteristics in a high-dimensional word embeddings space; (e) determine Euclidean distances for each of the concept characteristics; (f) determine cosine similarities for each of the concept characteristics; (g) determine a prominence index for each of the concept characteristics based on the determined Euclidean distances and the determined cosine similarities; and (h) provide, to a client device, a ranking of the concept characteristics based on the prominence index.

Abstract: Methods and devices are provided precision filling of medical syringes. Generally, the methods and devices are designed to determine and measure dosages and fill a syringe with a precise amount from a medication vial and to store or transmit to a medical records storage system data associated with the process. In one embodiment, the fill apparatus weighs, photographs and stores information on a syringe and medicine vial, fills the syringe from the vial and confirms transfer of the medicine to the syringe from the vial.