A user input and analysis tool for information architecture

Magnetic resonance imaging (MRI) has advantages for the assessment of gastrointestinal structures and functions; however, processing MRI data is time consuming and this has limited uptake to a few specialist centers. This study introduces a semiautomatic image processing system for rapid analysis of gastrointestinal MRI. For assessment of simpler regions of interest (ROI) such as the stomach, the system generates virtual images along arbitrary planes that intersect the ROI edges in the original images. This generates seed points that are joined automatically to form contours on each adjacent two-dimensional image and reconstructed in three dimensions (3D). An alternative thresholding approach is available for rapid assessment of complex structures like the small intestine. For assessment of dynamic gastrointestinal function, such as gastric accommodation and emptying, the initial 3D reconstruction is used as reference to process adjacent image stacks automatically. This generates four-dimensional (4D) reconstructions of dynamic volume change over time. Compared with manual processing, this semiautomatic system reduced the user input required to analyze a MRI gastric emptying study (estimated 100 vs. 10,000 mouse clicks). This analysis was not subject to variation in volume measurements seen between three human observers. In conclusion, the image processing platform presented processed large volumes of MRI data, such as that produced by gastric accommodation and emptying studies, with minimal user input. 3D and 4D reconstructions of the stomach and, potentially, other gastrointestinal organs are produced faster and more accurately than manual methods. This system will facilitate the application of MRI in gastrointestinal research and clinical practice.

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The Pluralistic Usability Walk-Through Method

Ergonomics in Design The Quarterly of Human Factors Applications ◽

10.1177/106480460201000306 ◽

2002 ◽

Vol 10 (3) ◽

pp. 23-27 ◽

Cited By ~ 3

Author(s):

S. Riihiaho

Keyword(s):

System Design ◽

Successful Implementation ◽

Analysis Tool ◽

Design Phase ◽

User Input ◽

Usability Analysis

This simple usability analysis tool can be employed early in the system design phase, when user input can have the greatest impact on successful implementation.

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BEERE: a web server for biomedical entity expansion, ranking and explorations

Nucleic Acids Research ◽

10.1093/nar/gkz428 ◽

2019 ◽

Vol 47 (W1) ◽

pp. W578-W586

Author(s):

Zongliang Yue ◽

Christopher D Willey ◽

Anita B Hjelmeland ◽

Jake Y Chen

Keyword(s):

Statistical Significance ◽

Web Server ◽

Data Provenance ◽

Analysis Tool ◽

User Input ◽

External Data ◽

Term List ◽

New Gene ◽

Relationship Network ◽

Entity Relationship

Abstract BEERE (Biomedical Entity Expansion, Ranking and Explorations) is a new web-based data analysis tool to help biomedical researchers characterize any input list of genes/proteins, biomedical terms or their combinations, i.e. ‘biomedical entities’, in the context of existing literature. Specifically, BEERE first aims to help users examine the credibility of known entity-to-entity associative or semantic relationships supported by database or literature references from the user input of a gene/term list. Then, it will help users uncover the relative importance of each entity—a gene or a term—within the user input by computing the ranking scores of all entities. At last, it will help users hypothesize new gene functions or genotype–phenotype associations by an interactive visual interface of constructed global entity relationship network. The output from BEERE includes: a list of the original entities matched with known relationships in databases; any expanded entities that may be generated from the analysis; the ranks and ranking scores reported with statistical significance for each entity; and an interactive graphical display of the gene or term network within data provenance annotations that link to external data sources. The web server is free and open to all users with no login requirement and can be accessed at http://discovery.informatics.uab.edu/beere/.

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A Conceptual Prototyping Framework for Integrating Human Factors Early in Product Design

Volume 6: Design, Systems, and Complexity ◽

10.1115/imece2020-23858 ◽

2020 ◽

Author(s):

Salman Ahmed ◽

H. Onan Demirel

Keyword(s):

Cost Benefit Analysis ◽

Cost Benefit ◽

Analysis Tool ◽

Benefit Analysis ◽

Human Factor Engineering ◽

User Input ◽

Hands On ◽

Systematic Selection ◽

The Right ◽

The Cost

Abstract A knowledge-base that integrates human factor engineering (HFE) principles and prototyping best-practices for the design of human-centered products does not exist. This study fills this gap by proposing a prototyping framework to unify HFE principles and prototyping guidelines along with a prototyping toolbox. The framework is based on the House of Prototype Guidelines (HOPG), which introduces “Prototyping Categories and Dimensions” that are used for understanding the prototyping requirements and identifying the specifications that can be used to build a prototype. Additionally, a prototyping toolbox is introduced to classify tools and technologies to build the proposed prototype. The HOPG and prototyping toolbox are integrated via an MS Excel User-form, which proposes a systematic selection filter based on user input. The overall goal of this framework is to guide the prototyping activities in the right direction before the actual hands-on prototyping activity starts. Additionally, in this study, a cost-benefit analysis tool is proposed to calculate the value of the prototype by measuring the information gained and the resources spent. The cost-benefit analysis helps designers in narrowing down the prototyping options. A prototyping problem taken from the literature is used as a case study to demonstrate the usability and efficacy of the framework.

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RDP5: A computer program for analysing recombination in, and removing signals of recombination from, nucleotide sequence datasets

Virus Evolution ◽

10.1093/ve/veaa087 ◽

2020 ◽

Author(s):

Darren P Martin ◽

Arvind Varsani ◽

Philippe Roumagnac ◽

Gerrit Botha ◽

Suresh Maslamoney ◽

...

Keyword(s):

Statistical Tests ◽

Analysis Tool ◽

User Input ◽

The Past ◽

Detection Program ◽

History Of ◽

Run Up ◽

The Individual ◽

Time Required ◽

Manual Verification

Abstract For the past 20 years the recombination detection program (RDP) project has focused on the development of a fast, flexible and easy to use Windows-based recombination analysis tool. Whereas previous versions of this tool have relied on considerable user-mediated verification of detected recombination events, the latest iteration, RDP5, is automated enough that it can be integrated within analysis pipelines and run without any user input. The main innovation enabling this degree of automation is the implementation of statistical tests to identify recombination signals that could be attributable to evolutionary processes other than recombination. The additional analysis time required for these tests has been offset by algorithmic improvements throughout the program such that, relative to RDP4, RDP5 will still run up to five times faster and be capable of analysing alignments containing twice as many sequences (up to 5000) that are five times longer (up to 50 million sites). For users wanting to remove signals of recombination from their datasets before using them for downstream phylogenetics-based molecular evolution analyses, RDP5 can disassemble detected recombinant sequences into their constituent parts and output a variety of different recombination-free datasets in an array of different alignment formats. For users that are interested in exploring the recombination history of their datasets, all the manual verification, data management and data visualization components of RDP5 have been extensively updated to minimize the amount of time needed by users to individually verify and refine the program’s interpretation of each of the individual recombination events that it detects.

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Ethnogeriatrics: Development and Application of the Cohort Analysis Tool

Perspectives on Communication Disorders and Sciences in Culturally and Linguistically Diverse Populations ◽

10.1044/cds21.2.37 ◽

2014 ◽

Vol 21 (2) ◽

pp. 37-52

Author(s):

Melen McBride

Keyword(s):

Healthcare Professionals ◽

Cohort Analysis ◽

Analysis Tool ◽

Speech Language Pathology ◽

Clinical Tool ◽

Research Activities ◽

Key Concepts ◽

Practice Teaching ◽

Language Pathology ◽

Significant Factors

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.

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“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

Perspectives on Speech Science and Orofacial Disorders ◽

10.1044/ssod21.2.44 ◽

2011 ◽

Vol 21 (2) ◽

pp. 44-54

Author(s):

Kerry Callahan Mandulak

Keyword(s):

Speech Production ◽

Speech Signal ◽

Clinical Utility ◽

Acoustic Analysis ◽

Moment Analysis ◽

Analysis Tool ◽

Spectral Moment ◽

Clinical Measure ◽

Perceptual Analysis ◽

Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

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