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A Two-Arm Randomized Pilot Study to Evaluate the Impact of a Mobile Health App on Quality of Life in Patients on Oral Anti-Cancer Medications

HealthcarePartners Connected HealthBoston, MAUnited States2Harvard Medical SchoolBoston, MAUnited StatesCorresponding Author: Nils Fischer nfischer@partners.orgJul-Dec20181709201842e118306820182982018©Nils Fischer, Stephen Agboola, Ramya Palacholla, Mursal Atif

Nils Fischer, Stephen Agboola, Ramya Palacholla, Mursal Atif, Joseph Kvedar, Kamal Jethwani

iproc 2018;4(2):e11830

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Pilot Study of a Prototype Integrated Diabetes Management System and the Relationship of Use to Diabetes Management Behaviors and HbA1c Among Type 2 Diabetes Patients

States6Harvard Medical SchoolBoston, MAUnited States7DermatologyMassachusetts General HospitalBoston, MAUnited StatesCorresponding Author: Connor Devoe cdevoe@bu.eduJan-Dec2019210201951e1629817920191792019©Connor Devoe, Nils Fischer, Tim Hale, Neda Derakhshani, Mursal Atif

Connor Devoe, Nils Fischer, Tim Hale, Neda Derakhshani, Mursal Atif, Harriett Gabbidon, Enrico Cagliero, Marie McDonnell, Kamal Jethwani

iproc 2019;5(1):e16298

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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

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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

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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

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Can Google Searches Predict the Popularity and Harm of Psychoactive Agents?

Wojciech Jankowski, Marcin Hoffmann

J Med Internet Res 2016;18(2):e38

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Mobile Behavioral Therapy for Headache: Pilot Study

Behavioral Therapy for Headache: Pilot StudyHaleTimothyKirellAdam1BioTrak Therapeutics320 E 65th StreetNew York, NY,United States524 1934adam@biotraktherapeutics.comShingletonRebeccaDr PhD11BioTrak TherapeuticsNew York, NYUnited StatesCorresponding Author: Adam

Adam Kirell, Rebecca Shingleton

iproc 2018;4(2):e11814

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Use of a Mobile App to Augment Psychotherapy in a Community Psychiatric Clinic: Feasibility and Fidelity Trial

Atif Adam, Ameena Jain, Alexandra Pletnikova, Rishi Bagga, Allison Vita, Lisa N. Richey, Neda Gould, Supriya Munshaw, Kavi Misrilall, Matthew E Peters

JMIR Form Res 2020;4(7):e17722

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The Impact of an Automated Patient Digital Engagement Platform on Revisit Reduction

ReductionPalachollaRamyaBeckAdamMHS1LifeBridge Health - Sinai Hospital of Baltimore2401 W Belvedere AveBaltimore, MDUnited States 410 601 9813abeck@lifebridgehealth.orgRobinsonCarolineMBA11LifeBridge Health - Sinai Hospital of BaltimoreBaltimore, MDUnited StatesCorresponding Author: Adam

Adam Beck, Caroline Robinson

iproc 2019;5(1):e15091

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Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation

The learning rate was initialized at 0.01 and Adam Optimizer was used.

Arnab Ray, Aman Gupta, Amutha Al

JMIR Dermatol 2020;3(1):e18438

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