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In-Home Cardiovascular Monitoring System for Heart Failure: Comparative Study

In-Home Cardiovascular Monitoring System for Heart Failure: Comparative Study

undergoes a continuous signal quality check where entire recordings may be rejected, and beats with abnormal intervals are removed, since changes in the diastolic duration and ventricular filling can significantly shift beat-by-beat BP and SV, as described in Conn

Nicholas J Conn, Karl Q Schwarz, David A Borkholder

JMIR Mhealth Uhealth 2019;7(1):e12419


Measuring Patient Acceptance and Use of a Personal Health Network Application for Chemotherapy Care Coordination

Measuring Patient Acceptance and Use of a Personal Health Network Application for Chemotherapy Care Coordination

California DavisSacramento, CAUnited States2School of MedicineUniversity of California DavisSacramento, CAUnited StatesCorresponding Author: Katherine K Kim kathykim@ucdavis.eduJul-Dec20181709201842e1139625620182982018©Katherine K Kim, Janice F Bell, Jill G Joseph

Katherine K Kim, Janice F Bell, Jill G Joseph, Richard J Bold

iproc 2018;4(2):e11396


Definition of Health 2.0 and Medicine 2.0: A Systematic Review

Definition of Health 2.0 and Medicine 2.0: A Systematic Review

Medicine 2.0 is about getting closer to colleagues and patients.Conn J [15] (Scientific)2007The health care derivate of the far more ubiquitous "Web 2.0."

Tom H Van De Belt, Lucien JLPG Engelen, Sivera AA Berben, Lisette Schoonhoven

J Med Internet Res 2010;12(2):e18


Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

Thompson et al, “Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention” (JMIR Mhealth Uhealth 2017;5(6):e76), author Nicholas

David Thompson, Teresa Mackay, Maria Matthews, Judith Edwards, Nicholas S Peters, Susan B Connolly

JMIR Mhealth Uhealth 2018;6(4):e13


Digital Asthma Self-Management Interventions: A Systematic Review

Digital Asthma Self-Management Interventions: A Systematic Review

Numbers provided were Jan 2007 (164), Joseph 2007 (314), and Krishna 2003 (228).d% provided for individual groups (3-arm trial), however, it stated being unable to provide % for third group due to reporting discrepancies.eHuss 2003: no results were provided

Deborah Morrison, Sally Wyke, Karolina Agur, Euan J Cameron, Robert I Docking, Alison M MacKenzie, Alex McConnachie, Vandana Raghuvir, Neil C Thomson, Frances S Mair

J Med Internet Res 2014;16(2):e51


Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis

Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis

et al [72], Joseph et al [73], Campbell et al [74], Herring et al [75], Billings et al [76], Smith et al [77], Levy et al [78], Jhamb et al [79], Gordon and Hornbrook [80], Nazi et al [81], Foster et al [3], Arcury et al [83], Cavallo et al [85], Steinberg

Jelena Arsenijevic, Lars Tummers, Niels Bosma

J Med Internet Res 2020;22(2):e11613


Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection

Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection

Joseph et al used the Bayesian model to estimate recall and specificity when only n1 and n2 were given [34]. Bayesian models often provide a feasible solution when insufficient information is contained in data to apply usual methods.

Yoonsang Kim, Jidong Huang, Sherry Emery

J Med Internet Res 2016;18(2):e41