Handling limited datasets with neural networks in medical applications: A small-data approach.

Volume: 75, Pages: 51 - 63
Published: Jan 1, 2017
Abstract
null null Motivation null Single-centre studies in medical domain are often characterised by limited samples due to the complexity and high costs of patient data collection. Machine learning methods for regression modelling of small datasets (less than 10 observations per predictor variable) remain scarce. Our work bridges this gap by developing a novel framework for application of artificial neural networks (NNs) for regression tasks involving...
Paper Details
Title
Handling limited datasets with neural networks in medical applications: A small-data approach.
Published Date
Jan 1, 2017
Volume
75
Pages
51 - 63
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