HCSL Publications
A. Genetic Algorithms Based Design and Optimization of Statistical Quality Control
1. Hatjimihail AT Genetic Algorithms Based Design and Optimization of Statistical Quality Control Procedures. Clin Chem. 1993;39(9):1972-1978.
DOI: 10.1093/clinchem/39.9.1972. PMID: 8375083.
Abstract
Full Text in Clinical Chemistry
2. Hatjimihail AT, Hatjimihail TT. Design of statistical quality control procedures using genetic algorithms. In LJ Eshelman (ed).Proceedings of the Sixth International Conference on Genetic Algorithms. Morgan Kauffman; 1995:551-557.
3. Hatjimihail AT, Hatjimihail TT. Design of statistical quality control procedures using genetic algorithms. arXiv:cs/0201024 [cs.NE].
DOI: 10.48550/arXiv.cs/0201024.
B. Neural Networks Based Quality Control
1. Chatzimichail RA, Hatjimihail AT. Quality Control Using Convolutional Neural Networks Applied to Samples of Very Small Size. arXiv:2310.10608 [cs.NE].
DOI: 10.48550/arXiv.2310.10608.
2. Chatzimichail RA, Hatjimihail AT. Quality Control Using Convolutional Neural Networks Applied to Samples of Very Small Size. Stochastics and Quality Control. 2023;38(2):63-78.
DOI: 10.1515/eqc-2023-0001.
Abstract
Full Text in Stochastics and Quality Control
C. Statistical Quality Control Design
1. Hatjimihail AT. Tool for Quality Control Design and Evaluation. Wolfram Demonstrations Project. Wolfram Research; 2010.
Abstract
Demonstration
Technical Report
2. Hatjimihail AT. Calculation of the confidence bounds for the fraction nonconforming of normal populations of measurements in clinical laboratory medicine. arXiv:1506.00571 [cs.CE].
DOI: 10.48550/arXiv.1506.00571.
D. Statistical Quality Control, Reliability, and Risk
1. Hatjimihail AT. Estimation of the optimal statistical quality control sampling time intervals using a residual risk measure. PLoS ONE. 2009;4(6):e5770.
DOI: 10.1371/journal.pone.0005770. PMCID: PMC2689359. PMID: 19513124 .
Abstract
Full Text in PLOS ONE
2. Hatjimihail AT. Core laboratory QC [Letter to the editor]. CAP Today. 2015;29(5):8.
E. Diagnostic Accuracy
1. Hatjimihail AT. Quality of diagnostic accuracy studies: the development, use, and evaluation of QUADAS. BMJ Evidence-Based Medicine. 2006;11:189.
Full Text in Evidence Based Medicine
2. Hatjimihail AT. Receiver Operating Characteristic Curves and Uncertainty of Measurement. Wolfram Demonstrations Project. Wolfram Research; 2007.
Abstract
Demonstration
Technical Report
3. Hatjimihail AT. Uncertainty of Measurement and Areas Over and Under the ROC Curves. Wolfram Demonstrations Project. Wolfram Research; 2009.
Demonstration
Technical Report
4. Hatjimihail AT. Uncertainty of Measurement and Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2009.
Abstract
Demonstration
Technical Report
5. Chatzimichail T. Analysis of Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2015.
Abstract
Demonstration
Technical Report
6. Chatzimichail T. Correlation of Positive and Negative Predictive Values. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
7. Chatzimichail T, Hatjimihail AT. Analysis of Diagnostic Accuracy Measures for Two Combined Diagnostic Tests. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
8. Chatzimichail T, Hatjimihail AT. Relation of Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
9. Chatzimichail T. Calculator for Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
10. Chatzimichail T, Hatjimihail AT. Calculation of Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
11. Hatjimihail AT. The Area Over a Receiver Operating Characteristic (ROC) Curve as an Index of Diagnostic Inaccuracy. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
12. Chatzimichail T, Hatjimihail AT. A Software Tool for Exploring the Relation between Diagnostic Accuracy and Measurement Uncertainty. Diagnostics. 2020;10(9):610.
DOI: 10.3390/diagnostics10090610. PMCID: PMC7555914. PMID: 32825135.
Abstract
Full Text in Diagnostics
13. Chatzimichail T, Hatjimihail AT. A Software Tool for Calculating the Uncertainty of Diagnostic Accuracy Measures. Diagnostics 2021;11(3):406.
DOI: 10.3390/diagnostics11030406. PMCID: PMC7997227. PMID: 33673466.
Abstract
Full Text in Diagnostics
14. Chatzimichail T. Relation: A Software Tool for Exploring the Relation between Diagnostic Accuracy and Measurement Uncertainty Poster presented at: 14th International Diagnostic Error in Medicine Conference; Society to Improve Diagnosis in Medicine; October 25-27, 2021; Evanston, Illinois.
15. Chatzimichail T. Diagnostic Uncertainty: A Software Tool for Calculating the Uncertainty of Diagnostic Accuracy Measures. Poster presented at: 14th International Diagnostic Error in Medicine Conference; Society to Improve Diagnosis in Medicine; October 25-27, 2021; Evanston, Illinois.
F. Bayesian Medical Diagnosis
1. Chatzimichail T., Hatjimihail AT. A Bayesian Inference Based Computational Tool for Parametric and Nonparametric Medical Diagnosis. Diagnostics. 2023;13(19):3135.
DOI: 10.3390/diagnostics13193135. PMCID: PMC10572594. PMID: 37835877.
Abstract
Full Text in Diagnostics
2. Chatzimichail T, Hatjimihail AT. A Software Tool for Estimating Uncertainty of Bayesian Posterior Probability for Disease. Diagnostics. 2024;14(4):402.
DOI: 10.3390/diagnostics14040402. PMCID: PMC10887534. PMID: 38396440.
Abstract
Full Text in Diagnostics
3. Chatzimichail T, Hatjimihail AT. A Software Tool for Applying Bayes Theorem in Medical Diagnostics. BMC Medical Informatics and Decision Making, in press.
G. Clinical Tools
1. Chatzimichail T. Enteral Nutritional Design. Wolfram Demonstrations Project. Wolfram Research; 2017.
Abstract
Demonstration
Technical Report
2. Chatzimichail T. Enteral Nutritional Design. Poster Presented at: ASPEN Nutrition Science and Practice Conference; March 26-29, 2022; Seattle, Washington.
H. Networks
1. Chatzimichail C, Hatjimihail AT. Network of Musical Instruments for Rhythm Accompaniment. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
I. Statistical Tools
1. Chatzimichail T, Hatjimihail AT. Exact Confidence Intervals for a Single Proportion. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
2. Chatzimichail T, Hatjimihail AT. Inferences about the Difference between Two Proportions. Wolfram Demonstrations Project. Wolfram Research; 2018.
Abstract
Demonstration
Technical Report
J.Statistics of Complexity
1. Hatjimihail AT. A nonlinear component of the analytical error [Abstract]. Clin Chem. 2000;46(S6):A69.
2. Hatjimihail AT. A nonlinear component of the analytical error. arXiv:nlin/0201049 [nlin.AO].
DOI: 10.48550/arXiv.nlin/0201049.
K. Entropy and Genetic Algorithms
1. Hatjimihail AT. Entropy and genetic algorithms: Definition and some graphs. Technical Report I. Hellenic Complex Systems Laboratory; 1993.
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