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Table 3.2: Average error (in months) of RSA formula- tions: Wisconsin prognostic data.

in Cancer Diagnosis And Prognosis Via Linear-Programming-Based Machine Learning
by W. Nick Street 1995
Cited by 100

Table 3: Comparison of the prognostic scores based on LVEF alone or LVEF in combination with HRT

in A Statistical Model for Risk Stratification on the Basis of Left Ventricular Ejection Fraction and Heart-Rate Turbulence
by Kurt Ulm, Georg Schmidt, Petra Barthel, Raphael Schneider, Victoria Pashova, Linda Rolnitzky, J. Thomas Bigger, Jr., J. Thomas, Albert Schömig
"... In PAGE 11: ... In order to show the advantage of using LVEF together with HRT instead of LVEF alone we used the percentage of patients in the high risk group for comparison. Table3 gives the corresponding cut-points for LVEF together with the number of deaths in the high risk group. Table 3: Comparison of the prognostic scores based on LVEF alone or LVEF in combination with HRT... ..."

Table 8. Prognostic factors for coronary heart disease as measured on Czech autoworkers. Source: (Edwards and Havranek 1985).

in unknown title
by unknown authors 2004
"... In PAGE 18: ...2. Example 3: Prognostic risk factors for Czech auto workers The data in Table8 come from a prospective epidemiological study of 1841 workers in a Czechoslovakian car factory, as part of an investigation of potential risk factors for coronary thrombosis (see Edwards and Havranek, 1985). Here we build on the analyses reported in Dobra and Fienberg (2003) and Fienberg (2004), interpreting them in the context of searching for association rules.... In PAGE 18: ... Here we build on the analyses reported in Dobra and Fienberg (2003) and Fienberg (2004), interpreting them in the context of searching for association rules. In Table8 , A indicates whether or not the worker smokes, B corresponds to strenuous... ..."

Table 4 Availability, prognostic value and cost of some markers of organ damage (scored from 0 to 4 pluses)

in unknown title
by unknown authors
"... In PAGE 9: ...ime requirement, invasiveness, cost, etc.). However, because these measurements are currently the object of extensive research, which may make them more useful in the near future they have been discussed in section 3.6 and listed in Table4 together with an assessment of their clinical value and limitations. The issue is further discussed in Section 3.... In PAGE 16: ... In elderly hypertensives, cognitive tests may help to detect initial brain deterioration. Table4 summarizes availability, prognostic value and... In PAGE 18: ... Though a wider clinical use of pulse wave velocity and augmentation index measurements may add further precision to the assessment of arterial damage, the avail- ability of these technique is largely limited to research centres. As shown in Table4 several other methods for detecting vascular organ damage cannot be supported for clinical use for a variety of reasons. An increase in the wall to lumen ratio of small arteries can be measured in subcutaneous tissues obtained through gluteal biopsies.... ..."

Table 3: Applications of feed-forward neural networks for diagnostic and prognostic classi cation in oncological studies

in On the Misuses of Artificial Neural Networks for Prognostic and Diagnostic Classification in Oncology
by Guido Schwarzer, Werner Vach, Martin Schumacher 2000
"... In PAGE 17: ...Table3 remained in which feed-forward neural nets were used for classi cation, some of them considered statistical methods as alternatives. The topics of these articles were diagnosis of cancer (23 articles), automatic tumor grading (6 articles) and prognosis (10 articles), furthermore 3 reviews and 2 commentaries.... In PAGE 17: ... It became apparent to us that some mistakes occurred over and over again. These mistakes are indicated in Table3 and are described in detail in the sequel. 1) Mistakes in estimation of misclassi cation probabilities a) Biased estimation The dramatic underestimation of the apparent error rate seems to be well known, in none of the articles the apparent error rate was used as an estimate of the misclassi - cation probability.... ..."
Cited by 19

Table VIII. Prognostic factors for coronary heart disease as measured on Czech autoworkers. Source: (Edwards and Havranek, 1985).

in Preserving the confidentiality of categorical statistical data bases when releasing association rules
by Stephen E. Fienberg, Aleksandra B. Slavkovic 2004
Cited by 4

Table 5: Number of times each feature was used to select the best RSA prognostic model:

in Departments of Surgery, Human Oncology, and Computer Sciences
by William H. Wolberg, W. Nick Street, Ph. D, Dennis M. Heisey, Ph. D, Olvi L. Mangasarian, Ph. D
"... In PAGE 12: ...7% of the time, and lymph node status only 0.5% of the time ( Table5 ). The Kaplan-Meier (16) plot of the RSA data derived by cross validation is shown as Figure 2.... ..."

Table 5: Number of times each feature was used to select the best RSA prognostic model:

in Departments of Surgery, Human Oncology, and Computer Sciences
by William H. Wolberg, W. Nick Street, Ph. D, Dennis M. Heisey, Ph. D, Olvi L. Mangasarian, Ph. D
"... In PAGE 12: ...7% of the time, and lymph node status only 0.5% of the time ( Table5 ). The Kaplan-Meier (16) plot of the RSA data derived by cross validation is shown as Figure 2.... ..."

Table 3 34 genes identified in prognostic series 14706 Unknown Hs. 180836 17856 Interferon alpha/beta receptor-2

in unknown title
by unknown authors 2003
Cited by 2

Table 5 Comparison of prognostic models: Percentage of patient pairs in which one model correctly predicts outcome and the other model does not

in unknown title
by unknown authors
"... In PAGE 5: ...001 and P H11005 0.038, respectively; Table5 ). The differences between the marker model versus TNM stage (P H11005 0.... ..."
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