This work focused on re ning the Cognitive Abilities Screening Instrument (CASI) by selecting a clinically signi cant subset of tests, and generating simple and useful models for dementia screening in a cross cultural populace. This is a retrospective study of 57 mild-to-moderately demented patients of African-American, Caucasian, Chinese, Hispanic, and Vietnamese origin and an equal number of ...

This work focused on re ning the Cognitive Abilities Screening Instrument (CASI) by selecting a clinically signi cant subset of tests, and generating simple and useful models for dementia screening in a cross cultural populace. This is a retrospective study of 57 mild-to-moderately demented patients of African-American, Caucasian, Chinese, Hispanic, and Vietnamese origin and an equal number of ...

Tandem mass spectrometry is a promising new screening technology which permits screening within one analytical run not only for phenylketonuria (PKU) but also for a wide range of other metabolic disorders in newborns. We investigated two symbolic supervised machine learning techniques logistic regression analysis (LRA) and decision trees (DT), where the knowledge is represented in an explicit w...

A new design of a wireless sensing system intended for structural monitoring is proposed. Key performance attributes of the wireless sensing unit include simultaneous accommodation of multiple sensors, high-resolution analog-to-digital data conversion, overall low-power demand and a computational core. The computational core is a powerful component of the design that allows real-time execution ...

a brief overview of the historical development of ergonomics in organizational design and management (odam) is presented. as a component of technology or ergonomics, macro ergonomics are described as a systematic. scientifically based means of optimizing work system  design. macro ergonomics  might  be reoffered  to  as: organization - environment - human - machine interface technology. involve...

Using the theory of machine learning to assist the virtual screening (VS) has been an effective plan. However, the quality of the training set may reduce because of mixing with the wrong docking poses and it will affect the screening efficiencies. To solve this problem, we present a method using the ensemble learning to improve the support vector machine to process the generated protein-ligand ...

BACKGROUND The aim of the project was to develop a novel method for diabetic retinopathy screening based on the examination of tear fluid biomarker changes. In order to evaluate the usability of protein biomarkers for pre-screening purposes several different approaches were used, including machine learning algorithms. METHODS All persons involved in the study had diabetes. Diabetic retinopath...

A machine learning strategy is presented for the rapid discovery of new polymeric materials satisfying multiple desirable properties. Of particular interest is the design of high refractive index polymers. Our in silico approach employs a series of quantitative structure–property relationship models that facilitate rapid virtual screening of polymers based on relevant properties such as the ref...

A common step in drug design is the formation of a quantitative structure-activity relationship (QSAR) to model an exploratory series of compounds. A QSAR generalizes how the structure of a compound relates to its biological activity. There is growing interest in the application of machine learning techniques in QSAR modeling research. However, no single technique can claim to be uniformly supe...

In this paper I discuss the role of Machine Learning (ML) in sound design. I focus on the modelling of a particular aspect of human intelligence which is believed to play an important role in musical creativity: the Generalisation of Perceptual Attributes (GPA). By GPA I mean the process by which a listener tries to find common sound attributes when confronted with a series of sounds. The paper...