Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …

Multimodal emotion recognition (MMER) systems typically outperform unimodal systems by
leveraging the inter and intra-modal relationships between eg visual textual physiological …

In current clinical settings, typically pain is measured by a patient's self-reported information.
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …

The current method for assessing pain in clinical practice is subjective and relies on self-
reported scales. An objective and accurate method of pain assessment is needed for …

Pain assessment is essential for pain diagnosis and treatment. Automating the assessment
process from pain behaviors could be an alternative to self-report; however, inter-subject …

Background The term “data science” encompasses several methods, many of which are
considered cutting edge and are being used to influence care processes across the world …

Accurate and objective pain evaluation is crucial in develo** effective pain management
protocols, aiming to alleviate distress and prevent patients from experiencing decreased …

Automatic pain recognition is essential in healthcare. In previous studies, automatic pain
recognition methods preferentially apply the features extracted from physiological signals for …

Pain, a pervasive global health concern, affects a large segment of population worldwide.
Accurate pain assessment remains a challenge due to the limitations of conventional self …

Automatic pain assessment is an application in healthcare serving personalized pain care,
and patients cannot self-report pain. Pain at the present is inferred from physiological …