AIMC Topic: Electronic Mail

Clear Filters Showing 11 to 16 of 16 articles

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...

An efficient incremental learning mechanism for tracking concept drift in spam filtering.

PloS one
This research manages in-depth analysis on the knowledge about spams and expects to propose an efficient spam filtering method with the ability of adapting to the dynamic environment. We focus on the analysis of email's header and apply decision tree...

Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.

IEEE journal of biomedical and health informatics
Predicting therapeutic outcome in the mental health domain is of utmost importance to enable therapists to provide the most effective treatment to a patient. Using information from the writings of a patient can potentially be a valuable source of inf...

CD-Based Indices for Link Prediction in Complex Network.

PloS one
Lots of similarity-based algorithms have been designed to deal with the problem of link prediction in the past decade. In order to improve prediction accuracy, a novel cosine similarity index CD based on distance between nodes and cosine value betwee...