scholarly journals Minimum Relevant Features to Obtain Explainable Systems for Predicting Cardiovascular Disease Using the Statlog Data Set

2021 ◽  
Vol 11 (3) ◽  
pp. 1285
Author(s):  
Roberto Porto ◽  
José M. Molina ◽  
Antonio Berlanga ◽  
Miguel A. Patricio
Keyword(s):  
Cardiovascular Disease ◽  
Performance Metrics ◽  
Predictive Performance ◽  
Large Set ◽  
Data Set ◽  
Automated Learning ◽  
Prediction Systems ◽  
And Performance ◽  
The Cost ◽  
The University

Learning systems have been focused on creating models capable of obtaining the best results in error metrics. Recently, the focus has shifted to improvement in the interpretation and explanation of the results. The need for interpretation is greater when these models are used to support decision making. In some areas, this becomes an indispensable requirement, such as in medicine. The goal of this study was to define a simple process to construct a system that could be easily interpreted based on two principles: (1) reduction of attributes without degrading the performance of the prediction systems and (2) selecting a technique to interpret the final prediction system. To describe this process, we selected a problem, predicting cardiovascular disease, by analyzing the well-known Statlog (Heart) data set from the University of California’s Automated Learning Repository. We analyzed the cost of making predictions easier to interpret by reducing the number of features that explain the classification of health status versus the cost in accuracy. We performed an analysis on a large set of classification techniques and performance metrics, demonstrating that it is possible to construct explainable and reliable models that provide high quality predictive performance.

scholarly journals Minimum Relevant features to Obtain Explainable Systems for Predicting Cardiovascular Disease Using the Statlog Dataset

2020 ◽  
Author(s):  
Roberto Porto ◽  
Jose M. Molina ◽  
Antonio Berlanga ◽  
Miguel A. Patricio
Keyword(s):  
Cardiovascular Disease ◽  
Performance Metrics ◽  
Predictive Performance ◽  
Large Set ◽  
Data Set ◽  
Error Metrics ◽  
Automated Learning ◽  
And Performance ◽  
The Cost

Learning systems have been very focused on creating models that are capable of obtaining the best results in error metrics. Recently, the focus has shifted to improvement in order to interpret and explain their results. The need for interpretation is greater when these models are used to support decision making. In some areas this becomes an indispensable requirement, such as in medicine. This paper focuses on the prediction of cardiovascular disease by analyzing the well-known Statlog (Heart) Data Set from the UCI’s Automated Learning Repository. This study will analyze the cost of making predictions easier to interpret by reducing the number of features that explain the classification of health status versus the cost in accuracy. It will be analyzed on a large set of classification techniques and performance metrics. Demonstrating that it is possible to make explainable and reliable models that have a good commitment to predictive performance.

Better Practices in the Development and Validation of Recidivism Risk Assessments: The Minnesota Sex Offender Screening Tool–4

2017 ◽  
Vol 30 (4) ◽  
pp. 538-564 ◽  
Author(s):  
Grant Duwe
Keyword(s):  
Sex Offenders ◽  
Sex Offender ◽  
Screening Tool ◽  
Performance Metrics ◽  
Area Under The Curve ◽  
Predictive Performance ◽  
Test Set ◽  
And Performance ◽  
Logistic Regression Algorithm ◽  
Development And Validation

This study examines the development and validation of the Minnesota Sex Offender Screening Tool–4 (MnSOST-4) on a dataset consisting of 5,745 sex offenders released from Minnesota prisons between 2003 and 2012. Bootstrap resampling was used to select predictors, and k-fold and split-sample methods were used to internally validate the MnSOST-4. Using sex offense reconviction within 4 years of release from prison as the failure criterion, the data showed that 130 (2.3%) offenders in the overall sample were recidivists. Multiple classification methods and performance metrics were used to develop the MnSOST-4 and evaluate its predictive performance on the test set. The results from the regularized logistic regression algorithm showed that the MnSOST-4 performed well in predicting sexual recidivism in the test set, achieving an area under the curve (AUC) of 0.835. Additional analyses on the test set revealed that the MnSOST-4 outperformed the Minnesota Sex Offender Screening Tool–3 (MnSOST-3), Minnesota Sex Offender Screening Tool–Revised (MnSOST-R), and Static-99 in predicting sexual reoffending.

Optical-Mechanical Analysis of Parabolic Trough Solar Concentrators to Support Commercial Development

2013 ◽  
Author(s):  
Kenneth Biggio ◽  
Rachel Backes ◽  
Jennifer Crawford
Keyword(s):  
Design Process ◽  
Performance Metrics ◽  
Mechanical Analysis ◽  
Optical Performance ◽  
Parabolic Trough ◽  
Commercial Development ◽  
Spatially Resolved ◽  
Cost Of Energy ◽  
And Performance ◽  
The Cost

The thermal performance of parabolic trough concentrating solar collectors depends on both the structural and optical characteristics of the design. In order to reduce the cost of energy, advanced concentrating structures must significantly reduce the cost of collectors while maintaining good optical performance. This paper discusses a Finite Element Ray Tracer (FERT) that has been developed specifically to support the commercial design process. This is achieved by tying the whole of the support structure directly to its optical effects. Consequently, the optical performance metrics go beyond the typical reflector slope error RMS or average intercept factor to present the designer with spatially resolved analysis of localized performance. By incorporating this analytical method into the structural design process, collector cost and performance can be balanced efficiently and rapidly, allowing for an accelerated design period. At times, this insight has driven better, albeit unexpected, design decisions. The paper presents an overview of the development process that Abengoa R&D uses to take advantage of its analytical optical analysis capability throughout all phases of a project, as well as a review of its implementation. A selection of case studies is also presented to illustrate how FERT enables the designer to identify local areas of concern, diagnose the cause, and quickly develop possible redesign strategies. Finally, the significance of various parameters within the ray tracer are discussed.

scholarly journals XXV Conference on Accounting and Controlling. Conceptions of the Cost and Performance Management held in Polanica-Zdrój, October 11–13, 2021

2021 ◽  
Vol 45 (4) ◽  
pp. 159-164
Author(s):  
Robert Kowalak
Keyword(s):  
Performance Management ◽  
Scientific Conference ◽  
Professional Work ◽  
Tax Management ◽  
And Performance ◽  
The Cost ◽  
The University

The text contains a report of the scientific conference organized by the Chair of Cost Account-ing, Tax Management, and Controlling at the University of Economics and Business in Wroclaw, from 11 to 13 October 2021, in Polanica- Zdrój. The conference in the Accounting and Controlling cycle, under the motto, The Conceptions of Cost and Performance Man-agement, addressed today's problems and challenges in managing costs and performance. That conference was very special because it was the 25th jubilee conference. At this year's conference, Professor Edward Nowak was thanked for his many years of professional work and for organizing all editions of the conference.

Development and Performance Evaluation of a Manually Operated Cowpea Thresher

2009 ◽  
Vol 62-64 ◽  
pp. 239-246
Author(s):  
V.I. Umogbai ◽  
A. Shehu
Keyword(s):  
Performance Evaluation ◽  
Rural Areas ◽  
Feed Rate ◽  
Test Results ◽  
Human Diet ◽  
Optimum Performance ◽  
Nutritional Importance ◽  
And Performance ◽  
The Cost ◽  
The University

Threshing is one of the major problems associated with cowpea production in Nigeria. In spite of the food and nutritional importance of the crop to human diet, its threshing has been and remains a serious problem to the farmers. The techniques for threshing cowpea in most rural areas are still the traditional methods of seed separation which are uneconomical, labourous and time consuming. A manually operated cowpea thresher to stimulate manual threshing has been designed, fabricated and tested. The thresher was fabricated using locally available materials at the engineering workshop of the University of Agriculture, Makurdi. Two varieties of cowpea (B301 and C70) were tested on the thresher for performance evaluation in terms of thresher efficiency and mechanical (visible) damage. The test results revealed that for optimum performance, the thresher should operate at a cylinder speed of between 60-75rpm at a feed rate of 24kg/hr.94%-97% threshing efficiency was achieved for the two varieties of cowpea. The cost of production is N15,686:00

Rutting of Thin Pavements: Full-Scale Study

2000 ◽  
Vol 1716 (1) ◽  
pp. 82-88 ◽  
Author(s):  
Jorge A. Ceratti ◽  
Washington P. Núñez ◽  
Wai Y.Y. Gehling ◽  
José A. de Oliveira
Keyword(s):  
Point Load ◽  
Full Scale ◽  
Load Test ◽  
Base Layer ◽  
Test Facility ◽  
Data Set ◽  
Traffic Characteristics ◽  
Pavement Structure ◽  
The Cost ◽  
The University

Since 1992, the Federal University of Rio Grande do Sul, along with the roads department of the same Brazilian state, has undertaken comprehensive research on weathered basalts, with the purpose of reducing the cost of low-volume pavements. Laboratory studies have led to a criterion (on the basis of the point load test) used to select deposits of these intensely fractured rocks. A traffic simulator was designed and built, and a pavement test facility was constructed on the university campus. A study was done of rutting of thin pavements on which weathered basalts were used as base layers. The traffic simulator applied more than 267,000 axle loads, ranging from 82 to 130 kN, on five full-scale test sections. Two different weathered basalts and three base thicknesses were used. A postmortem evaluation revealed that the base layer contributed the most to rutting. The axle load applications caused the pavement structure to settle and consolidate. A total of 4,148 measurements of rut depth, made at intervals, provided a statistically significant data set. Rutting evolution was shown to depend not only on traffic characteristics but also on pavement structure. With consideration of rutting as a major failure cause in thin pavements and a rut depth of 25 mm as a terminal criterion, load equivalence factors were calculated by means of a reliability analysis.

scholarly journals SMARTI University Model and Performance Benchmarking System UPM

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Nguyen Huu Thanh Chung ◽  
Tran Van Hai ◽  
Vu Thi Mai Anh ◽  
Nghiem Xuan Huy ◽  
Ta Thi Thu Hien ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Performance Metrics ◽  
Performance Benchmarking ◽  
Research And Innovation ◽  
Vietnamese Higher Education ◽  
Digital Skills ◽  
And Performance ◽  
University Performance ◽  
The University ◽  
Benchmarking System

In the globalization context, Vietnamese higher education institutions need to fufill the functions of the third generation university as well as the challenges of the fourth industrial revolution. In this case, the innovation-driven smart university, namely SMARTI model, was proposed. By the approach of the university ecosystem, SMARTI model has been described with 5 core values: digital skills and entrepreneurship; flexibility and connectivity; research and innovation; internationalization; and promotion of social norms. The SMARTI can be governed and benchmarked through the criteria of the university performance metrics (UPM). Priminary implementations were employed for Vietnam's leading institutions. The results show that these universities have achieved a 5-star standard equivalent to excellent universities in the top 300 in Asia.

Molecular Views of Ice-Embedded Lumbricus Terrestris Erythrocruorin Obtained By Invariant Classification

1990 ◽  
Vol 48 (1) ◽  
pp. 450-451
Author(s):  
Michael schatz ◽  
Joachim Jäger ◽  
Marin van Heel
Keyword(s):  
Image Interpretation ◽  
Lumbricus Terrestris ◽  
Reference Image ◽  
Large Set ◽  
Multivariate Statistical ◽  
Data Set ◽  
Low Contrast ◽  
Negative Stain ◽  
Reference Images ◽  
Statistical Resolution

Lumbricus terrestris erythrocruorin is a giant oxygen-transporting macromolecule in the blood of the common earth worm (worm "hemoglobin"). In our current study, we use specimens (kindly provided by Drs W.E. Royer and W.A. Hendrickson) embedded in vitreous ice (1) to avoid artefacts encountered with the negative stain preparation technigue used in previous studies (2-4).Although the molecular structure is well preserved in vitreous ice, the low contrast and high noise level in the micrographs represent a serious problem in image interpretation. Moreover, the molecules can exhibit many different orientations relative to the object plane of the microscope in this type of preparation. Existing techniques of analysis requiring alignment of the molecular views relative to one or more reference images often thus yield unsatisfactory results.We use a new method in which first rotation-, translation- and mirror invariant functions (5) are derived from the large set of input images, which functions are subsequently classified automatically using multivariate statistical techniques (6). The different molecular views in the data set can therewith be found unbiasedly (5). Within each class, all images are aligned relative to that member of the class which contributes least to the classes′ internal variance (6). This reference image is thus the most typical member of the class. Finally the aligned images from each class are averaged resulting in molecular views with enhanced statistical resolution.

Integrating Legacy Laboratory Information Systems into a Client-Server World: The University of Minnesota Clinical Workstation (CWS) Project

1995 ◽  
Vol 34 (03) ◽  
pp. 289-296 ◽  
Author(s):  
B. H. Sielaff ◽  
D. P. Connelly ◽  
K. E. Willard
Keyword(s):  
Information Systems ◽  
Clinical Decision ◽  
Database Management System ◽  
University Of Minnesota ◽  
Client Server ◽  
Clinical Workstation ◽  
Future Hospital ◽  
The Cost ◽  
The University ◽  
Laboratory Information Systems

Abstract:The development of an innovative clinical decision-support project such as the University of Minnesota’s Clinical Workstation initiative mandates the use of modern client-server network architectures. Preexisting conventional laboratory information systems (LIS) cannot be quickly replaced with client-server equivalents because of the cost and relative unavailability of such systems. Thus, embedding strategies that effectively integrate legacy information systems are needed. Our strategy led to the adoption of a multi-layered connection architecture that provides a data feed from our existing LIS to a new network-based relational database management system. By careful design, we maximize the use of open standards in our layered connection structure to provide data, requisition, or event messaging in several formats. Each layer is optimized to provide needed services to existing hospital clients and is well positioned to support future hospital network clients.

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