Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin
Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)
Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies
The methods of treatment are being evaluated and changed through several iterations to reach the most beneficial treatment for those with aprosodia. Although the biggest limitation on progress of aprosodia treatment is sample size, some significant data has been found to influence each subsequent phase of study. The Rosenbek lab at the University of Florida is currently in a new phase of treatment study based on combinations of the cognitive-linguistic and imitative therapies delivered in a randomized fashion in an effort to gain more insight into what most prominently affects aprosodia treatment.
Due to the rarity of reported aprosodia cases, only a few labs are currently researching treatment methods of aprosodia. The largest study of treatments for aprosodia consisted of only fourteen individuals, resulting in sample sizes too small to report statistical significance when comparing one treatment to another. However, the data gained from this study still yielded some results and is being used in the next iteration of aprosodia research.