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Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques

Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques

Diagnostic procedures are typically performed in specialized cardiac centers to diagnose CAD and risk stratify patients using tests such as a stress echocardiogram. Stress echocardiography is a diagnostic tool to assess the functionality of the heart and blood delivery under stress, such as treadmill or bicycle exercise test or following administration of a drug such as dobutamine.

Mohamed Alexander Bennasar, Duncan Banks, Blaine A Price, Attila Kardos

JMIR Cardio 2020;4(1):e16975

Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach

Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach

While many of the services that enable self-tracking are free or low cost, users may unwittingly be paying a price by surrendering their privacy to these services [6]. That is, users of self-tracking apps may find that their privacy is eroded because they lack control over how their data are collected, stored, and analyzed by self-tracking apps, and they may, in turn, have no say in how these data are shared with third parties.

Luke Alexander Hutton, Blaine A Price, Ryan Kelly, Ciaran McCormick, Arosha K Bandara, Tally Hatzakis, Maureen Meadows, Bashar Nuseibeh

JMIR Mhealth Uhealth 2018;6(10):e185