Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data

Physiologic responses and long-term adaptations to exercise

G Brooks, T Fahey, and T White · 1996

Earlier work this paper cites.

Rectified linear units improve restricted boltzmann machines

Vinod Nair and Geoffrey E Hinton · 2010

Earlier work this paper cites.

Efficient backprop

Yann A LeCun, Léon Bottou, Genevieve B Orr, and Klaus-Robert Müller · 2012

Earlier work this paper cites.

Representation learning: A review and new perspectives

Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2013

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

DP Kingma and J Ba · 2014

Earlier work this paper cites.

Tensorflow: a system for large-scale machine learning

Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al · 2016

Cited alongside, same era.

Xgboost: A scalable tree boosting system

Tianqi Chen and Carlos Guestrin · 2016

Cited alongside, same era.

Wavenet: A generative model for raw audio

Aäron Van Den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W Senior, and Koray Kavukcuoglu · 2016

Cited alongside, same era.

Harnessing the web for population-scale physiological sensing: A case study of sleep and performance

Tim Althoff, Eric Horvitz, Ryen W White, and Jamie Zeitzer · 2017

Cited alongside, same era.

Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations

Jairo H Migueles, Cristina Cadenas-Sanchez, Ulf Ekelund, Christine Delisle Nyström, Jose Mora-Gonzalez, Marie Löf, Idoia Labayen, Jonatan R Ruiz, and Francisco B Ortega · 2017

Cited alongside, same era.

Using wearable devices and smartphones to track physical activity: initial activation, sustained use, and step counts across sociodemographic characteristics in a national sample

Mitesh S Patel, Luca Foschini, Gregory W Kurtzman, Jingsan Zhu, Wenli Wang, Charles AL Rareshide, and Susan M Zbikowski · 2017

Later among the works it cites.

Collecting and analyzing millions of mhealth data streams

Tom Quisel, Luca Foschini, Alessio Signorini, and David C Kale · 2017

Later among the works it cites.

Attention is all you need

A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, Ł Kaiser, and I Polosukhin · 2017

Later among the works it cites.

Deepheart: Semi-supervised sequence learning for cardiovascular risk prediction

Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, and Mark J. Pletcher · 2018

Closest in time.

Association of cardiorespiratory fitness with long-term mortality among adults undergoing exercise treadmill testing

Mandsager K, Harb S, Cremer P, Phelan D, Nissen SE, and Jaber W · 2018