This lesson provides a useful refresher which will facilitate the use of Matlab, Octave, and various matrix-manipulation and machine-learning software.
This lesson was created by RootMath.
The state of the field regarding the diagnosis and treatment of major depressive disorder (MDD) is discussed. Current challenges and opportunities facing the research and clinical communities are outlined, including appropriate quantitative and qualitative analyses of the heterogeneity of biological, social, and psychiatric factors which may contribute to MDD.
This lesson delves into the opportunities and challenges of telepsychiatry. While novel digital approaches to clinical research and care have the potential to improve and accelerate patient outcomes, researchers and care providers must consider new population factors, such as digital disparity.
Not long ago, scientists in physiotherapy would claim for the need of big data and large initiatives in the US have already allowed to collect large retrospective data on recovery after brain injury and are working to collect prospective data. In Europe, there is a large field of collaboration in the field of aphasia supported by the European cooperation in Science and Technology that is collecting data on language recovery throughout the world. This lecture discusses recent advances in sharing big data for neurorehabilitation.