Robust learning framework for a scalable remote monitoring of autonomic dysreflexia: use-case in spinal cord injury. [PDF]
Fuchs B +7 more
europepmc +1 more source
A Contextually Grounded Competence Framework for a Dental Education: A Multi-Method, Stakeholder-Informed Development Study. [PDF]
Gummesson C +3 more
europepmc +1 more source
Development and evaluation of machine learning models for predicting significant liver fibrosis stages: A retrospective analysis. [PDF]
Tjandra NW +7 more
europepmc +1 more source
Use of machine learning and voice for multiclass classification of Parkinson's disease, chronic obstructive pulmonary disease, and healthy controls. [PDF]
Idrisoglu A, Behrens A.
europepmc +1 more source
Data and Safety Monitoring Board Best Practices in Clinical Trials. [PDF]
Klein GL +8 more
europepmc +1 more source
From predefined indicators to a management dashboard for heart failure telemonitoring: a modified nominal group technique approach in Portuguese hospitals. [PDF]
Miranda R +3 more
europepmc +1 more source
A Multi-Center Trained Residual Neural Network for Robust Classification of Atrial High-Rate Episodes in Remotely Monitored Pacemakers and Defibrillators. [PDF]
Krimpen LV +14 more
europepmc +1 more source
ET-Pfam: ensemble transfer learning for protein family prediction. [PDF]
Duarte SA +6 more
europepmc +1 more source
Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning. [PDF]
Shen CY +5 more
europepmc +1 more source
Practical pollsterless remote electronic voting
This thesis describes the design of a novel class of pollsterless voting schemes. Many cryptographic voting schemes necessitate a pollster because the client side computations are beyond the understanding or ability of the voter. Such interactions require that the voter trust the software to perform operations on their behalf, and in effect, the ...
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