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Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis

Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis

In a review by Iyer and Meyer [18], timing patterns of speech were able to detect high risk of suicide callers compared with their comparison group with a median accuracy of 95%. Other vocal characteristics such as power spectral density sub-bands and mel-frequency cepstral coefficients demonstrated at least 80% accuracy in differentiating groups.

Kathleen de Boer, Jessica L Mackelprang, Maja Nedeljkovic, Denny Meyer, Ravi Iyer

JMIR Res Protoc 2024;13:e54966

Relatives’ and Intensive Care Unit Personnel’s Perspectives of Care in Organ Donation: Protocol for a Multiple Methods Study

Relatives’ and Intensive Care Unit Personnel’s Perspectives of Care in Organ Donation: Protocol for a Multiple Methods Study

Simultaneously, ICU personnel’s perception of their own professional competence in OD will be assessed (Study 4) by using the professional competence in organ donation questionnaire (PCODQ) developed by Meyer et al [47]. Study 2: across-sectional survey to explore relatives’ satisfaction and perceptions of the OD process will be conducted consisting of the following information. Demographics such as relatives’ nationality, gender, age, relation to the donor, and donation-specific questions.

Kathe B Meyer, Gudrun Rohde, Gro Frivold

JMIR Res Protoc 2024;13:e55643