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Oleskov

Based on available technical and medical research, (likely referring to the researcher Ole Skov ) has developed a detailed feature for identifying distress in patients with cardiac devices: FPAS Score Calculator

Ole Skov is also associated with features like the "double-barrel free fibula graft" for reconstructing forearm bones while preserving motion. oleskov

The tool is hosted as a web application at oleskov.shinyapps.io/fpascalculator. Other Possible Interpretations Based on available technical and medical research, (likely

Ole Skov and his team developed an online calculator tool for the . This feature is designed for clinicians to quickly identify psychological distress in patients who have received an implantable cardioverter defibrillator (ICD) . This feature is designed for clinicians to quickly

It enables the automatic calculation of FPAS scores, which measure how well a patient is adjusting to their life-saving cardiac device.

In recent explainable AI models (late 2025), key "features" used to identify anxiety and distress in these patients include: Mental Health Scores (MCS) Loneliness scores Quality-of-life indices Standard depression and anxiety scales

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Based on available technical and medical research, (likely referring to the researcher Ole Skov ) has developed a detailed feature for identifying distress in patients with cardiac devices: FPAS Score Calculator

Ole Skov is also associated with features like the "double-barrel free fibula graft" for reconstructing forearm bones while preserving motion.

The tool is hosted as a web application at oleskov.shinyapps.io/fpascalculator. Other Possible Interpretations

Ole Skov and his team developed an online calculator tool for the . This feature is designed for clinicians to quickly identify psychological distress in patients who have received an implantable cardioverter defibrillator (ICD) .

It enables the automatic calculation of FPAS scores, which measure how well a patient is adjusting to their life-saving cardiac device.

In recent explainable AI models (late 2025), key "features" used to identify anxiety and distress in these patients include: Mental Health Scores (MCS) Loneliness scores Quality-of-life indices Standard depression and anxiety scales

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