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Machine learning algorithms

Automatic real-time gait event detection in children using deep neural networks

Łukasz Kidziński, Scott Delp, Michael Schwartz

Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning

Jinxiang Xi, Weizhong Zhao

Using supervised learning to select audit targets in performance-based financing in health: An example from Zambia

Dhruv Grover, Sebastian Bauhoff, Jed Friedman

Parametrical modelling for texture characterization—A novel approach applied to ultrasound thyroid segmentation

Alfredo Illanes, Nazila Esmaeili, [ ... ], Michael Friebe

Predicting neurological recovery with Canonical Autocorrelation Embeddings

Maria De-Arteaga, Jieshi Chen, [ ... ], Artur Dubrawski

Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila

Zhila Esna Ashari, Kelly A. Brayton, Shira L. Broschat

Clustering algorithms: A comparative approach

Mayra Z. Rodriguez, Cesar H. Comin, [ ... ], Francisco A. Rodrigues

Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia

Shirin Enshaeifar, Ahmed Zoha, [ ... ], Payam Barnaghi

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile

Ian J. C. MacCormick, Bryan M. Williams, [ ... ], Gabriela Czanner

Beyond opinion classification: Extracting facts, opinions and experiences from health forums

Jorge Carrillo-de-Albornoz, Ahmet Aker, Emina Kurtic, Laura Plaza

cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM

Benedict Diederich, Patrick Then, [ ... ], Rainer Heintzmann

A machine learning approach of predicting high potential archers by means of physical fitness indicators

Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, [ ... ], Mohamad Razali Abdullah

Mucopolysaccharidosis type II detection by Naïve Bayes Classifier: An example of patient classification for a rare disease using electronic medical records from the Canadian Primary Care Sentinel Surveillance Network

Behrouz Ehsani-Moghaddam, John A. Queenan, Jennifer MacKenzie, Richard V. Birtwhistle

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