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Corrigendum and Editorial Warning Regarding Use of the MMAS-8 Scale (A Remote Medication Monitoring System for Chronic Heart Failure Patients to Reduce Readmissions: A Two-Arm Randomized Pilot Study)

Corrigendum and Editorial Warning Regarding Use of the MMAS-8 Scale (A Remote Medication Monitoring System for Chronic Heart Failure Patients to Reduce Readmissions: A Two-Arm Randomized Pilot Study)

On the line “Health-related quality of life (MLHFQ), mean (SD)c”, the superscripted “c” has been changed to “b”. The original footnote “b” (“The MMAS is scored so that higher values indicate low adherence”) has been removed, and the original footnote “c” (“The MLHFQ is scored so that higher values indicate an adverse impact on quality of life”) has been relabeled “b”.

Timothy M M Hale, Kamal Jethwani, Manjinder Singh Kandola, Fidencio Saldana, Joseph C Kvedar

J Med Internet Res 2019;21(2):e13125

The Effect of Technology-Based Interventions on Pain, Depression, and Quality of Life in Patients With Cancer: A Systematic Review of Randomized Controlled Trials

The Effect of Technology-Based Interventions on Pain, Depression, and Quality of Life in Patients With Cancer: A Systematic Review of Randomized Controlled Trials

Results showing effects of the intervention on primary outcomesa. a HR-QOL: Health-related Quality of Life; CES-D: Center for Epidemiological Studies-Depression Scale; BPI: Brief Pain Inventory; HADS: Hospital Anxiety and Depression Scale; FACT-B: Functional Assessment of Cancer Therapy-Breast; PAL-C: Profile of Adaptation to Life Clinical Scale; LASA QOL: Linear Analog Self-Assessment Quality of Life; FACT-C: Functional Assessment of Cancer Therapy-Colorectal; WHOQOL: World Health Organization Quality of Life

Stephen O Agboola, Woong Ju, Aymen Elfiky, Joseph C Kvedar, Kamal Jethwani

J Med Internet Res 2015;17(3):e65

Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study

Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study

metrics will be used to evaluate thresholds: Sensitivity: True positives/(true positives + false negatives) Specificity: True negatives/(true negatives + false positives) Positive predictive value (PPV): True positives/(true positives + false positives) Negative predictive value (NPV): True negatives/(true negatives + false negatives) Accuracy: Number of correct assessments (true positives + true negatives)/number of assessments The overall performance of the model was evaluated by: Concordance statistic (C-index

Sujay Kakarmath, Sara Golas, Jennifer Felsted, Joseph Kvedar, Kamal Jethwani, Stephen Agboola

JMIR Res Protoc 2018;7(9):e176

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