Prediction of disease progression and outcomes in multiple sclerosis with machine learning

MF Pinto, H Oliveira, S Batista, L Cruz, M Pinto… - Scientific reports, 2020 - nature.com
Multiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System
and leading to irreversible neurological damage, such as long term functional impairment …

An analytical review on the use of artificial intelligence and machine learning in diagnosis, prediction, and risk factor analysis of multiple sclerosis

S Pilehvari, Y Morgan, W Peng - Multiple sclerosis and related disorders, 2024 - Elsevier
Medical research offers potential for disease prediction, like Multiple Sclerosis (MS). This
neurological disorder damages nerve cell sheaths, with treatments focusing on symptom …

Current review and next steps for artificial intelligence in multiple sclerosis risk research

M Hartmann, N Fenton, R Dobson - Computers in Biology and Medicine, 2021 - Elsevier
In the last few decades, the prevalence of multiple sclerosis (MS), a chronic inflammatory
disease of the nervous system, has increased, particularly in Northern European countries …

Multi-dimensional classification via kNN feature augmentation

BB Jia, ML Zhang - Pattern Recognition, 2020 - Elsevier
In multi-dimensional classification (MDC), each training example is represented by a single
instance (feature vector) while associated with multiple class variables, each of which …

Multi-dimensional Bayesian network classifiers: A survey

S Gil-Begue, C Bielza, P Larrañaga - Artificial Intelligence Review, 2021 - Springer
Multi-dimensional classification is a cutting-edge problem, in which the values of multiple
class variables have to be simultaneously assigned to a given example. It is an extension of …

Multi-dimensional classification via selective feature augmentation

BB Jia, ML Zhang - Machine Intelligence Research, 2022 - Springer
In multi-dimensional classification (MDC), the semantics of objects are characterized by
multiple class spaces from different dimensions. Most MDC approaches try to explicitly …

Review of advanced computational approaches on multiple sclerosis segmentation and classification

M Shanmuganathan, S Almutairi… - IET Signal …, 2020 - Wiley Online Library
In this study, a survey of multiple sclerosis (MS) classification and segmentation process is
presented, which is based on magnetic resonance imaging. Knowledge of MS lesions is …

Multi-dimensional classification via decomposed label encoding

BB Jia, ML Zhang - IEEE Transactions on Knowledge and Data …, 2021 - ieeexplore.ieee.org
In multi-dimensional classification (MDC), a number of class variables are assumed in the
output space with each of them specifying the class membership wrt one heterogeneous …

Multi-dimensional classification via sparse label encoding

BB Jia, ML Zhang - International Conference on Machine …, 2021 - proceedings.mlr.press
In multi-dimensional classification (MDC), there are multiple class variables in the output
space with each of them corresponding to one heterogeneous class space. Due to the …

Multi-dimensional classification via stacked dependency exploitation

BB Jia, ML Zhang - Science China Information Sciences, 2020 - Springer
Multi-dimensional classification (MDC) aims to build classification models for multiple
heterogenous class spaces simultaneously, where each class space characterizes the …