Workflow

About: Workflow is a research topic. Over the lifetime, 31996 publications have been published within this topic receiving 498339 citations.

Systems and methods for automated diagnosis and decision support for breast imaging

Abstract: CAD (computer-aided diagnosis) systems and applications for breast imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated diagnosis of breast cancer other automated decision support functions that enable decision support for, eg, screening and staging for breast cancer The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to 'learn' to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow

Design And Control Of Workflow Processes Business Process Management For The Service Industry

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Method and system for flexible workflow management

Abstract: A method for providing emergent and flexible workflow management to a user. The user communicates with other users, using a message-based system having embedded information management resources. The message-based system has a viewer. A message is generated at the message-based system. The message has metadata. The metadata of the message is updated using the embedded information management resources. The metadata include at least one of the group of a deadline, a reminder, a deferral and an obligation. The message is sent to the other users. Some of the metadata of the message are displayed on the viewer of the message-based system. Some of the metadata of the message are tracked at the message-based system.

CERMINE: automatic extraction of structured metadata from scientific literature

Abstract: CERMINE is a comprehensive open-source system for extracting structured metadata from scientific articles in a born-digital form. The system is based on a modular workflow, whose loosely coupled architecture allows for individual component evaluation and adjustment, enables effortless improvements and replacements of independent parts of the algorithm and facilitates future architecture expanding. The implementations of most steps are based on supervised and unsupervised machine learning techniques, which simplifies the procedure of adapting the system to new document layouts and styles. The evaluation of the extraction workflow carried out with the use of a large dataset showed good performance for most metadata types, with the average F score of 77.5 %. CERMINE system is available under an open-source licence and can be accessed at http://cermine.ceon.pl. In this paper, we outline the overall workflow architecture and provide details about individual steps implementations. We also thoroughly compare CERMINE to similar solutions, describe evaluation methodology and finally report its results.