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Using a Web-Based App to Improve Hand Hygiene Compliance Rates

Using a Web-Based App to Improve Hand Hygiene Compliance Rates

HospitalBoston, MA,United Stateshzhang37@mgh.harvard.eduLandmanAdamMD11Brigham and Women's HospitalBoston, MAUnited StatesCorresponding Author: Haipeng Zhang hzhang37@mgh.harvard.eduJul-Dec20181709201842e118122820182982018©Benjamin Rome, Haipeng Zhang, Adam

Benjamin Rome, Haipeng Zhang, Adam Landman

iproc 2018;4(2):e11812

The Impact of Providing a Tool Kit for Innovators in an Academic Medical Center to Scale Digital Health Innovation

The Impact of Providing a Tool Kit for Innovators in an Academic Medical Center to Scale Digital Health Innovation

HospitalBrigham Digital Innovation HubBoston, MAUnited States2Brandeis UniversityWaltham, MAUnited StatesCorresponding Author: Ritika Saxena rsaxena@brandeis.eduJul-Dec20181709201842e118082820182982018©Ritika Saxena, Josephine Elias, Chenzhe Cao, Haipeng Zhang, Adam

Ritika Saxena, Josephine Elias, Chenzhe Cao, Haipeng Zhang, Adam Landman

iproc 2018;4(2):e11808

The Development of an Automated Device for Asthma Monitoring for Adolescents: Methodologic Approach and User Acceptability

The Development of an Automated Device for Asthma Monitoring for Adolescents: Methodologic Approach and User Acceptability

Figure 5 illustrates the schematic overview of the audio data processing by ADAM. Although our initial intention was to detect both coughing and wheezing, we were only able to successfully apply our automated techniques to coughs.

Hyekyun Rhee, Sarah Miner, Mark Sterling, Jill S. Halterman, Eileen Fairbanks

JMIR Mhealth Uhealth 2014;2(2):e27

Evaluating the Validity of an Automated Device for Asthma Monitoring for Adolescents: Correlational Design

Evaluating the Validity of an Automated Device for Asthma Monitoring for Adolescents: Correlational Design

These findings are useful for an initial understanding of the validity of ADAM and for providing direction for further studies.

Hyekyun Rhee, Michael J Belyea, Mark Sterling, Mark F Bocko

J Med Internet Res 2015;17(10):e234

Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study

Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study

, epochs: 10, batch_size: 16LSTM-CNNRelevancemax_features: 166,395, embed_size: 300, max_len: 75, optimizer: adam, filters: 50, kernel_size: 2, epochs: 10, batch_size: 16BiLSTMcRelevancemax_features: 166,395, embed_size: 300, max_len: 75, optimizer: adam, epochs

Shyam Visweswaran, Jason B Colditz, Patrick O’Halloran, Na-Rae Han, Sanya B Taneja, Joel Welling, Kar-Hai Chu, Jaime E Sidani, Brian A Primack

J Med Internet Res 2020;22(8):e17478