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This paper has two contributions: a) it proposes a web services-based infrastructure to support Clinical Decision Support Systems (CDSSs) for processing multi-domain medical data from the obstetrical, perinatal and neonatal care domains, and b) applies Software Performance Engineering (SPE) to the proposed infrastructure. This extends a XML-based framework(More)
Three criteria are suggested to help design a Clinical Decision Support System (CDSS) that would have a better chance of being successfully deployed in a clinical environment. These criteria have been successfully applied to a CDSS designed to estimate outcomes for neonatal intensive care unit (NICU) patients. The CDSS was deployed in a pilot study at the(More)
A reengineered approach to the early prediction of preterm birth is presented as a complimentary technique to the current procedure of using costly and invasive clinical testing on high-risk maternal populations. Artificial neural networks (ANNs) are employed as a screening tool for preterm birth on a heterogeneous maternal population; risk estimations use(More)
The problem of databases containing missing values is a common one in the medical environment. Researchers must find a way to incorporate the incomplete data into the data set to use those cases in their experiments. Artificial neural networks (ANNs) cannot interpret missing values, and when a database is highly skewed, ANNs have difficulty identifying the(More)
BACKGROUND The skin temperature distribution of a healthy human body exhibits a contralateral symmetry. Some nociceptive and most neuropathic pain pathologies are associated with an alteration of the thermal distribution of the human body. Since the dissipation of heat through the skin occurs for the most part in the form of infrared radiation, infrared(More)
The objective was to assess the effectiveness of the weight-elimination cost function in improving classification performance of artificial neural networks (ANNs) and to observe how changing the a priori distribution of the training set affects network performance. Backpropagation feedforward ANNs with and without weight-elimination estimated mortality for(More)
The performance of three different Entity-Attribute-Value (EAV) storage formats for Clinical Data Repositories (CDRs) is compared with regards to querying millions of data points from clinical sources to assess the amount of storage space the data use, the speed with which the data can be obtained, and the complexity of the queries required to retrieve the(More)