[Contribution to the biomorphosis of the human uterus. 3. Studies on the iron content of the normal and myomatous uterus].
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Aging↗
Biomedical subjects
K Rothe
Publications and source records attributed to K Rothe.
[Contribution to the biomorphosis of the human uterus. I. Studies on calcium content of the normal as well as myomatous uterus].
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Adolescent↗
[Contribution to the biomorphosis of the human uterus. II. Studies on the magnesium content of the normal and myomatous uterus].
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Adolescent↗
[Early and late complications after implantation of central venous catheters].
The use of implantable central venous catheters by the puncture-technique of Nagy is a safe method performed by trained surgeons. Due to the high mobility and then reduction of painful blood samples this method contributes favourably to the improvement of the quality of life of children with chronic diseases. The analysis of 140 catheters implanted in the Department of Pediatric Surgery of the University of Leipzig between 1995 and 2000 showed 11 cases with early complications. As the most frequent late complications were infection and thrombosis in 51 children. Neutropenia is a particular risk factor during polychemotherapy of malignant tumors. Staphylococcus epidermidis was the most frequently isolated bacillus. Catheter associated infections are only partly treatable by antibiotic therapy. In 29 of 44 cases the explantation of the catheter was necessary. Only a strict hygienic regimen would minimize the risk of infection
Adolescent↗
Understanding birthing mode decision making using artificial neural networks.
BACKGROUND: This study examined obstetricians' decisions to perform or not to perform cesarean sections. The aim was to determine whether an artificial neural network could be constructed to accurately and reliably predict the birthing mode decisions of expert clinicians and to elucidate which factors were most important in deciding the birth mode. METHODS: Mothers with singleton, live births who were privately insured, nonclinic, non-Medicaid patients at a major tertiary care private hospital were included in the study (N = 1508). These mothers were patients of 2 physician groups: a 7-obstetrician multispecialtygroup practice and a physician group of 79 independently practicing obstetricians affiliated with the same hospital. A feedforward, multilayer artificial neural network (ANN) was developed and trained. It was then tested and optimized until the most parsimonious network was identified that retained a similar level of predictive power and classification accuracy. The performance of this network was further optimized using the methods of receiver operating characteristic (ROC) analysis and information theory to find the cutoff that maximized the information gain. The performance of the final ANN at this cutoff was measured using sensitivity, specificity, classification accuracy, area under the ROC curve, and maximum information gain. RESULTS: The final neural network had excellent predictive accuracy for the birthing mode (classification accuracy = 83.5%; area under the ROC curve = 0.924; maximum information = 40.4% of a perfect diagnostic test). CONCLUSION: This study demonstrated that a properly optimized ANN is able to accurately predict the birthing mode decisions of expert clinicians. In addition to previously identified clinical factors (cephalopelvic disproportion, maternal medical condition necessitating a cesarean section, arrest of labor, malpresentation of the baby, fetal distress, andfailed induction), nonclinical factors such as the mothers' views on birthing mode were also found to be important in determining the birthing mode.
Decision Making↗