Rheumatoid arthritis is an autoimmune disease that causes joint damage due to inflammation in the soft tissue lining joints known as synovium. It vital identify soon possible provide necessary treatment early and prevent further bone structures. Radiographs are often used assess extent of damage. Currently, scoring from radiograph takes expertise, effort, time. Joint associated with rheumatoid ...

Although investing in environmental, social, and governance (ESG)-driven portfolios is already a large growing portion of global assets under management, applications quantitative techniques to improve standardize ESG scoring the construction are underutilized. In this article, authors propose an approach automatically convert unstructured text data into scores by using latest advances deep lea...

Grammatical error detection and automated essay scoring are two tasks in the area of automated assessment. Traditionally these tasks have been treated independently with different machine learning models and features used for each task. In this paper, we develop a multi-task neural network model that jointly optimises for both tasks, and in particular we show that neural automated essay scoring...

Full-night polysomnography is necessary for the diagnosis of obstructive sleep apnoea (OSA). However, analysis of the sleep stages and apnoeas is time-consuming. Computer systems for automated analysis have, thus, been developed to alleviate this task. We investigated 27 consecutive patients referred to our sleep laboratory with suspected OSA. The analysis of sleep stages and apnoeas was perfor...

We report two new approaches for building scoring models used by automated speech scoring systems. First, we introduce the Cumulative Logit Model (CLM), which has been widely used in modeling categorical outcomes in statistics. On a large set of responses to an English proficiency test, we systematically compare the CLM with two other scoring models that have been widely used, i.e., linear regr...

Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rules, as functions from preferences into candidates, is efficiently learnable in the PAC model. We discuss the applications of this result to automated design of scoring rules. We also investigate possible extensions of ...

Although the frequency and consequence of sperm chromosomal abnormalities are considerable, few epidemiologic studies in large samples have been conducted to investigate etiologic risk factors. This is, in part, attributable to the labor intensive demands of manual sperm fluorescence in situ hybridization (FISH) scoring. As part of an epidemiologic study investigating environmental risk factors...

OBJECTIVES To validate a novel speech audiometry method using customized self-voice recorded word lists with automated scoring. PATIENTS AND METHODS The self-voice effect was investigated by comparing results with prerecorded or self-recorded CVC (consonant-vowel-consonant) word lists. Then customized lists of 3-phoneme words were drawn up using the OTOSPEECH software package, and their score...

As automated scoring of complex constructed-response examinations reaches operational status, the process of evaluating the quality of resultant scores, particularly in contrast to scores of expert human graders, becomes as complex as the data itself. Using a vignette from the Architectural Registration Examination (ARE), this paper explores the potential utility of classification and regressio...