Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks

doi:doi:10.57702/lc26dpav

Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks

Multiple Sclerosis (MS) is a neurodegenerative disorder characterized by a complex set of clinical assessments. We use an unsupervised machine learning model called a Conditional Restricted Boltzmann Machine (CRBM) to learn the relationships between covariates commonly used to characterize subjects and their disease progression in MS clinical trials.

BibTex:

@dataset{Jonathan_R_Walsh_and_Aaron_M_Smith_and_Yannick_Pouliot_and_David_Li-Bland_and_Anton_Loukianov_and_Charles_K_Fisher_2024,
    abstract = {Multiple Sclerosis (MS) is a neurodegenerative disorder characterized by a complex set of clinical assessments. We use an unsupervised machine learning model called a Conditional Restricted Boltzmann Machine (CRBM) to learn the relationships between covariates commonly used to characterize subjects and their disease progression in MS clinical trials.},
    author = {Jonathan R. Walsh and Aaron M. Smith and Yannick Pouliot and David Li-Bland and Anton Loukianov and Charles K. Fisher},
    doi = {10.57702/lc26dpav},
    institution = {No Organization},
    keyword = {'Conditional Restricted Boltzmann Machine', 'Digital Twins', 'Multiple Sclerosis', 'Probabilistic Neural Networks'},
    month = {dec},
    publisher = {TIB},
    title = {Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks},
    url = {https://service.tib.eu/ldmservice/dataset/generating-digital-twins-with-multiple-sclerosis-using-probabilistic-neural-networks},
    year = {2024}
}