AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Reading

Showing 51 to 59 of 59 articles

Clear Filters

GraphCom: A multidimensional measure of graphic complexity applied to 131 written languages.

Behavior research methods
We report a new multidimensional measure of visual complexity (GraphCom) that captures variability in the complexity of graphs within and across writing systems. We applied the measure to 131 written languages, allowing comparisons of complexity and ...

An automated behavioral measure of mind wandering during computerized reading.

Behavior research methods
Mind wandering is a ubiquitous phenomenon in which attention shifts from task-related to task-unrelated thoughts. The last decade has witnessed an explosion of interest in mind wandering, but research has been stymied by a lack of objective measures,...

A Reading Model from the Perspective of Japanese Orthography: Connectionist Approach to the Hypothesis of Granularity and Transparency.

Journal of learning disabilities
This study presents a computer simulation model of reading in Japanese syllabic kana and morphographic kanji. The model was based on the simulation model developed by Harm and Seidenberg for reading in English. The purpose of building the current mod...

Using support vector machines to identify literacy skills: Evidence from eye movements.

Behavior research methods
Is inferring readers' literacy skills possible by analyzing their eye movements during text reading? This study used Support Vector Machines (SVM) to analyze eye movement data from 61 undergraduate students who read a multiple-paragraph, multiple-top...

Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension.

Cognition
The study of the N400 event-related brain potential has provided fundamental insights into the nature of real-time comprehension processes, and its amplitude is modulated by a wide variety of stimulus and context factors. It is generally thought to r...

Machine Learning Based Evaluation of Reading and Writing Difficulties.

Studies in health technology and informatics
The possibility of auto evaluation of reading and writing difficulties was investigated using non-parametric machine learning (ML) regression technique for URAWSS (Understanding Reading and Writing Skills of Schoolchildren) [1] test data of 168 child...

Characteristics of outpatient clinical summaries in the United States.

International journal of medical informatics
In the United States, federal regulations require that outpatient practices provide a clinical summary to ensure that patients understand what transpired during their appointment and what to do before the next visit. To determine whether clinical sum...

Constructing and validating readability models: the method of integrating multilevel linguistic features with machine learning.

Behavior research methods
Multilevel linguistic features have been proposed for discourse analysis, but there have been few applications of multilevel linguistic features to readability models and also few validations of such models. Most traditional readability formulae are ...