Flux Network Modeling of Water and Materials In River Basin Complex For Assessment In Eco-Compatible Management

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

「パーソン論」に関する若干の覚え書

In the discussions of bioethics the socalled theory of Person is one of the most important issues. Because this theory concerns almost all problems of bioethics, though man has thought of it in order to justify Abortion. But in my opinion it\u27s logic is very rough, and cannot be the reason for a justification of Abortion. On the contrary, it is a fiction that man has devised arbitrary in presupposition of the right to abort. In this paper I will pick out two typical theories and criticize them

Early Detection of Adverse Drug Reaction Signals by Association Rule Mining Using Large-Scale Administrative Claims Data

INTRODUCTION: Adverse drug reactions (ADRs) are a leading cause of mortality worldwide and should be detected promptly to reduce health risks to patients. A data-mining approach using large-scale medical records might be a useful method for the early detection of ADRs. Many studies have analyzed medical records to detect ADRs; however, most of them have focused on a narrow range of ADRs, limiting their usefulness. OBJECTIVE: This study aimed to identify methods for the early detection of a wide range of ADR signals. METHODS: First, to evaluate the performance in signal detection of ADRs by data-mining, we attempted to create a gold standard based on clinical evidence. Second, association rule mining (ARM) was applied to patient symptoms and medications registered in claims data, followed by evaluating ADR signal detection performance. RESULTS: We created a new gold standard consisting of 92 positive and 88 negative controls. In the assessment of ARM using claims data, the areas under the receiver-operating characteristic curve and the precision-recall curve were 0.80 and 0.83, respectively. If the detection criteria were defined as lift > 1, conviction > 1, and p-value < 0.05, ARM could identify 156 signals, of which 90 were true positive controls (sensitivity: 0.98, specificity: 0.25). Evaluation of the capability of ARM with short periods of data revealed that ARM could detect a greater number of positive controls than the conventional analysis method. CONCLUSIONS: ARM of claims data may be effective in the early detection of a wide range of ADR signals