Proceedings ArticleDOI
Receiver operating characteristic laboratory (ROCLAB): Software for developing decision strategies that account for uncertainty
J.M. DeLeo
- pp 318-325
Reads0
Chats0
TLDR
ROCLAB is a public domain software package written in Microsoft QuickBASIC for PC microprocessors that computes ROC functions and their useful derived features for discrete and fuzzy class membership data.Abstract:
Receiver operating characteristic (ROC) methodology evaluates how well a decision strategy classifies retrospective dichotomous or fuzzy events. It also provides a rational basis for designing decision strategies for classifying prospective events. ROCLAB is a public domain software package written in Microsoft QuickBASIC for PC microprocessors that computes ROC functions and their useful derived features for discrete and fuzzy class membership data. Decision strategies that account for uncertainties related to prevalence, false classification costs, and fuzzy class membership are easily constructed with ROCLAB. ROC methodology is explained and ROCLAB features are demonstrated with examples from clinical medicine. >read more
Citations
More filters
Journal ArticleDOI
A review of methods for the assessment of prediction errors in conservation presence/absence models
Alan H. Fielding,John Bell +1 more
TL;DR: Thirteen recommendations are made to enable the objective selection of an error assessment technique for ecological presence/absence models and a new approach to estimating prediction error, which is based on the spatial characteristics of the errors, is proposed.
Journal ArticleDOI
Prediction of continuous B-cell epitopes in an antigen using recurrent neural network.
TL;DR: The standard feed‐forward (FNN) and recurrent neural network (RNN) have been used in this study for predicting B‐cell epitopes in an antigenic sequence and it has been observed that RNN (JE) was more successful than FNN in the prediction of B‐ cell epitopes.
Journal ArticleDOI
Agricultural land abandonment and natural forest re-growth in the Swiss mountains: A spatially explicit economic analysis
TL;DR: In this article, a multivariate statistical model based on geo-physical and socio-economic variables was developed to characterize the locations in the Swiss mountains where agricultural land has been abandoned and overgrown by trees andbushes.
Journal ArticleDOI
Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease
David M. Good,Petra Zürbig,Àngel Argilés,Hartwig W. Bauer,Georg M. N. Behrens,Joshua J. Coon,Mohammed Dakna,Stéphane Decramer,Christian Delles,Anna F. Dominiczak,Jochen H. H. Ehrich,Frank Eitner,Danilo Fliser,Moritz Frommberger,Arnold Ganser,Mark Girolami,Igor Golovko,Wilfried Gwinner,Marion Haubitz,Stefan Herget-Rosenthal,Joachim Jankowski,Holger Jahn,George Jerums,Bruce A. Julian,Markus Kellmann,Volker Kliem,Walter Kolch,Andrzej S. Krolewski,Andrzej S. Krolewski,Mario Luppi,Ziad A. Massy,Michael Melter,Christian Neusüss,Jan Novak,Karlheinz Peter,Kasper Rossing,Harald D. Rupprecht,Joost P. Schanstra,Eric Schiffer,Jens-Uwe Stolzenburg,Lise Tarnow,Dan Theodorescu,Visith Thongboonkerd,Raymond Vanholder,Eva M. Weissinger,Harald Mischak,Philippe Schmitt-Kopplin +46 more
TL;DR: The establishment of a reproducible, high resolution method for peptidome analysis of naturally occurring human urinary peptides and proteins, ranging from 800 to 17,000 Da, using samples from 3,600 individuals analyzed by capillary electrophoresis coupled to MS is reported.
Journal ArticleDOI
Artificial neural networks: opening the black box.
Judith E. Dayhoff,James M. DeLeo +1 more
TL;DR: In this article, the authors discuss the historical development of neural networks and provide the basic operational mathematics for the popular multilayered perceptron, and discuss measurements of performance and reliability, including the use of bootstrap methods to obtain confidence intervals.
References
More filters
Book
Signal detection theory and psychophysics
David M. Green,John A. Swets +1 more
TL;DR: This book discusses statistical decision theory and sensory processes in signal detection theory and psychophysics and describes how these processes affect decision-making.
Journal ArticleDOI
Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.
Mark H. Zweig,Gregory Campbell +1 more
TL;DR: Receiver-operating characteristic (ROC) plots provide a pure index of accuracy by demonstrating the limits of a test's ability to discriminate between alternative states of health over the complete spectrum of operating conditions.
Journal ArticleDOI
ROC methodology in radiologic imaging
TL;DR: This article develops ROC concepts in an intuitive way by identifying the fundamental issues that motivate ROC analysis and practical techniques for ROC data collection and data analysis.
Journal ArticleDOI
Statistical Inference Under Order Restrictions
TL;DR: In this paper, Statistical Inference Under Order Restrictions (SINR) under order restrictions is discussed. But this paper is restricted to the case of order restrictions. And it is not applicable to the present paper.
Journal ArticleDOI
Primer on Certain Elements of Medical Decision Making
TL;DR: Principals of statistical decision theory and information theory suggest technics for objectively determining these cutoff points, depending upon whether the physician is concerned with health costs, with financial costs, or with the information content of the test.
Related Papers (5)
A review of methods for the assessment of prediction errors in conservation presence/absence models
Alan H. Fielding,John Bell +1 more
Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.
Mark H. Zweig,Gregory Campbell +1 more