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The ability to detect adverse drug events (ADEs) in electronic health records (EHRs) is useful in many medical applications, such as alerting systems that indicate when an ADE-specific diagnosis code should be assigned. Automating the detection of ADEs can be attempted by applying machine learning to existing, labeled EHR data. How to do this in an effective manner is, however, an open question. The...
The enormous amounts of data that are continuously recorded in electronic health record systems offer ample opportunities for data science applications to improve healthcare. There are, however, challenges involved in using such data for machine learning, such as high dimensionality and sparsity, as well as an inherent heterogeneity that does not allow the distinct types of clinical data to be treated...
Through analyzing the braking system of mine hoist and the current testing method of braking parameters, this paper proposes a direct test method for braking parameters when the mine hoist runs at low speed. The inspection and display of braking torque, idle motion time and braking stroke can be achieved by a two-stage computer system consisted of SCM AT89S52 and PC computer.
With the development of modern education technology, multimedia technology greatly improves teaching efficiency and quality of college English teaching. This article focuses on the application of multimedia technology in college English teaching, explores its principles, advantages, limitations and feasible strategies, hoping to make better use of its advantages and bring its potential into full play.
This paper considers a supply chain with one manufacturer and one retailer. The manufacturer retails two products, one of which is the old product; the other is the updated product, to the retailer. The decentralized and centralized pricing decision models based on market segmentation are established, and the effects of consumer preference on pricing and profits are obtained by comparing and analyzing...
Recently, data integrity in computer major becomes concern. The attackers are capable of using various methods to intrude computer network system. The phenomena of confidential information being tampered with or disclosed are emerging everywhere. Hardware-based attacks have emerged and have caused tremendous losses even threaten national security. Existing most of integrity verification designs have...
Collision detection is necessary in order to resolve interaction between teeth in dental arrangement. Dental arrangement is a part of the invisible correction system which is a computer aided system helping dentist to find a way to correct teeth in disorder. This paper discusses the importance of collision detection; a method has been developed for it, based on a physically-based modeling of triangle...
Kernels defined on vectors have been widely used in host-based intrusion detection. We propose a protocol anomaly detection model based on string kernels including high-order Markov kernel, all-length gap-weighted kernel, all-length-weighted kernel and its variation all-length-weighted once kernel. Experimental results show that these string kernels can hold state information of protocols well. Models...
The data in e-commerce holds the characteristics of distribution, heterogeneousness, sparseness, high dimension and mass. So data mining system in e-commerce should be able to deal with the data in the different environments. As a novel distributing computing technique SOAP is designed for increasing interoperability within the wide range of programs and environments. This paper provides insights...
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