An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma

A Neural Approach to Automated Essay Scoring

Traditional automated essay scoring systems rely on carefully designed features to evaluate and score essays. The performance of such systems is tightly bound to the quality of the underlying features. However, it is laborious to manually design the most informative features for such a system. In this paper, we develop an approach based on recurrent neural networks to learn the relation between...

Scoring systems of severity in patients with multiple trauma.

Trauma is a major cause of morbidity and mortality; hence severity scales are important adjuncts to trauma care in order to characterize the nature and extent of injury. Trauma scoring models can assist with triage and help in evaluation and prediction of prognosis in order to organise and improve trauma systems. Given the wide variety of scoring instruments available to assess the injured pati...

towards an integrative approach to trauma study

Extracting meaningful speech features to support diagnostic feedback: an ECD approach to automated scoring

Although the operational scoring of the TOEFL iBT speaking section features the overall judgment of an examinee's speaking ability, the evaluation of specific components of speech such as delivery (pace and clarity of speech) and language use (vocabulary and grammar use) may be a promising approach to providing diagnostic information to learners. This study used an evidence-centered design appr...

Pelvic Trauma

Patients with traumatic pelvic ring injury may represent an immense challenge for the emergency physician. First, patients with pelvic ring fractures are at risk for exsanguinating pelvic hemorrhage. Furthermore, the profound magnitude of force required to disrupt the pelvic ring frequently causes severe injuries to other organ systems. The resuscitation from hemorrhagic shock, rapid identifica...