CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients.
Filippo GuerrantiMirco ManninoFederica BacciniPietro BonginiNiccolò PancinoAnna VisibelliSara MarzialiPublished in: KES (2021)
Keyphrases
- neural network
- medical doctors
- early diagnosis
- vital signs
- multiple sclerosis
- emergency department
- artificial neural networks
- acute coronary syndrome
- clinical studies
- diagnostic tool
- disease progression
- cancer patients
- graph representation
- directed graph
- clinically relevant
- graph theory
- patient groups
- chronic obstructive pulmonary disease
- pattern recognition
- chronic disease
- high risk
- back propagation
- amyotrophic lateral sclerosis
- cardiovascular disease
- patient data
- self organizing maps
- graph structure
- bipartite graph
- structured data
- breast cancer patients
- liver disease
- neural network model
- disease outbreaks
- health status
- clinical data
- medical data
- multilayer perceptron
- health care
- graph model
- white matter
- colorectal cancer
- medical practitioners
- prostate cancer
- medical records
- clinical trials