Abstract Machine learning, and especially deep learning, is rapidly gaining acceptance and clinical usage in a wide range of image analysis applications and is regarded as providing …
We study how the topology of a data set M= Ma∪ Mb⊆ ℝ d, representing two classes a and b in a binary classification problem, changes as it passes through the layers of a well-trained …
E Munch - Journal of Learning Analytics, 2017 - learning-analytics.info
Topological data analysis (TDA) is a collection of powerful tools that can quantify shape and structure in data in order to answer questions from the data's domain. This is done by …
The increasing amount of data in biomechanics research has greatly increased the importance of developing advanced multivariate analysis and machine learning techniques …
The rise of technologies that simultaneously measure thousands of data points represents the heart of systems biology. These technologies have had a huge impact on the discovery …
Chromosomal translocations that generate in-frame oncogenic gene fusions are notable examples of the success of targeted cancer therapies,,. We have previously described gene …
Acute cardiorespiratory breathlessness accounts for one in eight of all emergency hospitalizations. Early, noninvasive diagnostic testing is a clinical priority that allows rapid …
J Bigler, M Boedigheimer, JPR Schofield… - American journal of …, 2017 - atsjournals.org
Rationale: Stratification of asthma at the molecular level, especially using accessible biospecimens, could greatly enable patient selection for targeted therapy. Objectives: To …
A Shoemark, B Rubbo, M Legendre… - European …, 2021 - Eur Respiratory Soc
Background Primary ciliary dyskinesia (PCD) is a heterogeneous inherited disorder caused by mutations in approximately 50 cilia-related genes. PCD genotype–phenotype …