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Achieving Rapid Blood Pressure Control With Digital Therapeutics: Retrospective Cohort and Machine Learning Study

Nicole L Guthrie, Mark A Berman, Katherine L Edwards, Kevin J Appelbaum, Sourav Dey, Jason Carpenter, David M Eisenberg, David L Katz

JMIR Cardio 2019;3(1):e13030

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Design and Development of a Context-Aware Knowledge-Based Module for Identifying Relevant Information and Information Gaps in Patients With Type 1 Diabetes Self-Collected Health Data

Dey and Abowd [18] define context as “any information that can be used to characterize the situation of an entity”.

Alain Giordanengo, Pinar Øzturk, Anne Helen Hansen, Eirik Årsand, Astrid Grøttland, Gunnar Hartvigsen

JMIR Diabetes 2018;3(3):e10431

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A Mobile Health Intervention System for Women With Coronary Heart Disease: Usability Study

Avijit Sengupta, Theresa Beckie, Kaushik Dutta, Arup Dey, Sriram Chellappan

JMIR Form Res 2020;4(6):e16420

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Electronic Health Self-Management Interventions for Patients With Chronic Kidney Disease: Systematic Review of Quantitative and Qualitative Evidence

(0)1 (33)0 (0)2 (67)0 (0)0 (0)1 (33)0 (0)Multiple components (references)Diamantidis et al (2013) [65]✓——————————McGillicuddy et al (2013) [36]✓✓✓—✓✓✓—✓✓✓Minatodani et al (2013) [58], Berman et al (2011) [59]✓✓✓———✓✓✓——Blakeman et al (2014) [70]✓———————✓——Dey

Hongxia Shen, Rianne MJJ van der Kleij, Paul JM van der Boog, Xinwei Chang, Niels H Chavannes

J Med Internet Res 2019;21(11):e12384

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Privacy-Related Context Information for Ubiquitous Health

According to Dey et al [29], the three most relevant entities are places, people, and things. These entities have to be considered from different viewpoints such as location, activity, and identity.

Antto Seppälä, Pirkko Nykänen, Pekka Ruotsalainen

JMIR Mhealth Uhealth 2014;2(1):e12

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Mobile Personal Health Care System for Noninvasive, Pervasive, and Continuous Blood Pressure Monitoring: Development and Usability Study

Validation results reported a moderate correlation, an adequate mean absolute error but with high SD, and the worst BHS accuracy grade in comparison with reference SBP measured using an oscillometric device.In the same year, Dey et al [41] developed an ensemble

Luis J Mena, Vanessa G Félix, Rodolfo Ostos, Armando J González, Rafael Martínez-Peláez, Jesus D Melgarejo, Gladys E Maestre

JMIR Mhealth Uhealth 2020;8(7):e18012

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Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study

Tammy Chung, Sang Won Bae, Eun-Young Mun, Brian Suffoletto, Yuuki Nishiyama, Serim Jang, Anind K Dey

JMIR Mhealth Uhealth 2020;8(3):e16240

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Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study

Carissa A Low, Anind K Dey, Denzil Ferreira, Thomas Kamarck, Weijing Sun, Sangwon Bae, Afsaneh Doryab

J Med Internet Res 2017;19(12):e420

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Cloud Health Resource Sharing Based on Consensus-Oriented Blockchain Technology: Case Study on a Breast Tumor Diagnosis Service

Dey et al [14] developed a solution of reliable storage of health data by proposing a blockchain–Internet of Things model where a biosensor measures and collects real-time data concerning a patient’s medical status and stores the data in the blockchain.

Xiaobao Zhu, Jing Shi, Cuiyuan Lu

J Med Internet Res 2019;21(7):e13767

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Supporting the Medication Adherence of Older Mexican Adults Through External Cues Provided With Ambient Displays: Feasibility Randomized Controlled Trial

relatives.Table 5Overview of some studies to assess different technological approaches to support older adults’ medication adherence.Data extracted from the studiesMorawski et al [40]Mertens et al [41]Robiner et al [39]Grindrod et al [18]Park et al [15]Lee and Dey

Ernesto Zárate-Bravo, Juan-Pablo García-Vázquez, Engracia Torres-Cervantes, Gisela Ponce, Ángel G Andrade, Maribel Valenzuela-Beltrán, Marcela D Rodríguez

JMIR Mhealth Uhealth 2020;8(3):e14680

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