MLND 2022
Special Session on Machine Learning Prediction of Neurodegenerative Diseases Progression
at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022)
Ho Chi Minh City, Vietnam
Conference website:
http://www.aciids.pwr.edu.pl
Special Session Organizers
Objectives and topics
We are not able to precisely follow information processes in the brain, but they seem to be like computations in the deep artificial neural networks (DNN). Even if the development and applications of DNN, recently show many similarities to brain processes, we are not capable to build artificial systems comparable in reliability and plastic properties to the brain. However, these brain advantages sometimes have opposite consequences. Many years of pathological processes in the brain are so effectively compensated, that the most patients are not aware of them. When they notice the first disease symptoms, it is too late for any cure as we do not know how to revive the dead neurons in the brain. There is only one way to help, by finding intelligent biomarkers that may sense very early these pathological brain processes.
As the neurodegeneration is problem related to brain computations, in the MLND 2018 Special Session at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) we propose to address classification, prediction, and clustering methods as intelligent biomarkers that potentially might be more sensitive than standard neurological tests. We want to offer an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area.
The scope of the MLND 2018 includes, but is not limited to the following topics:
- The scope of the MLND 2018 includes, but is not limited to the following topics:
- Machine learning and data mining methods in brain research
- Machine learning algorithms in objects recognition and their neurological meanings
- Data mining methods to assist in brain surgery (like Deep Brain Stimulation in Parkinson’s diseases)
- Machine learning in motor symptom progressions in neurodegenerative diseases (ND)
- Data mining in brain imaging: CT, MRI, DTI, and fMRI
- Estimation of different therapies efficiencies by means of data mining
- Computer assisted diagnosis and treatment
- Machine learning in brain mapping
- Different Data Mining methods as a tool to study cognitive or emotional brain
- Brain plasticity and machine learning algorithms
- Diagnostic data mining emotions classification in speech and music
- Eye movements properties as important biomarker of ND
- Time series analysis in research for the elderly and those at risk of neurodegenerative diseases
- Analysis of human movement
ACIIDS 2022 important dates
Submission of papers: 22 May 2022 (Hard deadline)
Notification of acceptance: 11 July 2022
Camera-ready papers: 25 July 2022
Registration & payment: 25 July 2022
Conference date: 28-30 November 2022