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Anil Aswani

Showing results (1-10 of 13) with videos related to

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Biorxiv : the Preprint Server for Biology|June 4, 2026
Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversityGiana Cirolia, Jeshua T Gustafson, Anil Aswani, et al.
Methods in Cell Biology|April 10, 2012
Nonparametric variable selection and modeling for spatial and temporal regulatory networksAnil Aswani, Mark D Biggin, Peter Bickel, et al.
European Journal of Operational Research|August 9, 2023
Behavioral Analytics for Myopic AgentsYonatan Mintz, Anil Aswani, Philip Kaminsky, et al.
European Journal of Operational Research|February 20, 2019
Behavioral Modeling in Weight Loss InterventionsAnil Aswani, Philip Kaminsky, Yonantan Mintz, et al.
BMC Medical Informatics and Decision Making|August 24, 2019
Applying machine learning to predict future adherence to physical activity programsMo Zhou, Yoshimi Fukuoka, Ken Goldberg, et al.
JMIR Public Health and Surveillance|February 3, 2018
Objectively Measured Baseline Physical Activity Patterns in Women in the mPED Trial: Cluster AnalysisYoshimi Fukuoka, Mo Zhou, Eric Vittinghoff, et al.
JMIR Mhealth and Uhealth|June 22, 2018
Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled TrialYoshimi Fukuoka, Teri G Lindgren, Yonatan Dov Mintz, et al.
JAMA Network Open|January 16, 2019
Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine LearningLiangyuan Na, Cong Yang, Chi-Cheng Lo, et al.
Nucleic Acids Research|September 17, 2013
Expression-level optimization of a multi-enzyme pathway in the absence of a high-throughput assayMichael E Lee, Anil Aswani, Audrey S Han, et al.
JMIR Mhealth and Uhealth|January 27, 2018
Evaluating Machine Learning-Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled TrialMo Zhou, Yoshimi Fukuoka, Yonatan Mintz, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Biorxiv : the Preprint Server for Biology|June 4, 2026
Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversityGiana Cirolia, Jeshua T Gustafson, Anil Aswani, et al.
Methods in Cell Biology|April 10, 2012
Nonparametric variable selection and modeling for spatial and temporal regulatory networksAnil Aswani, Mark D Biggin, Peter Bickel, et al.
European Journal of Operational Research|August 9, 2023
Behavioral Analytics for Myopic AgentsYonatan Mintz, Anil Aswani, Philip Kaminsky, et al.
European Journal of Operational Research|February 20, 2019
Behavioral Modeling in Weight Loss InterventionsAnil Aswani, Philip Kaminsky, Yonantan Mintz, et al.
BMC Medical Informatics and Decision Making|August 24, 2019
Applying machine learning to predict future adherence to physical activity programsMo Zhou, Yoshimi Fukuoka, Ken Goldberg, et al.
JMIR Public Health and Surveillance|February 3, 2018
Objectively Measured Baseline Physical Activity Patterns in Women in the mPED Trial: Cluster AnalysisYoshimi Fukuoka, Mo Zhou, Eric Vittinghoff, et al.
JMIR Mhealth and Uhealth|June 22, 2018
Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled TrialYoshimi Fukuoka, Teri G Lindgren, Yonatan Dov Mintz, et al.
JAMA Network Open|January 16, 2019
Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine LearningLiangyuan Na, Cong Yang, Chi-Cheng Lo, et al.
Nucleic Acids Research|September 17, 2013
Expression-level optimization of a multi-enzyme pathway in the absence of a high-throughput assayMichael E Lee, Anil Aswani, Audrey S Han, et al.
JMIR Mhealth and Uhealth|January 27, 2018
Evaluating Machine Learning-Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled TrialMo Zhou, Yoshimi Fukuoka, Yonatan Mintz, et al.
Pageof 2