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Wagner M.,Tufts Medical Center | Wagner M.,University Hospital Wrzburg | Ansell D.,Southmead Hospital | Kent D.M.,Center for Predictive Medicine Research | And 4 more authors.
American Journal of Kidney Diseases | Year: 2011

Background: The risk of death in dialysis patients is high, but varies significantly among patients. No prediction tool is used widely in current clinical practice. We aimed to predict long-term mortality in incident dialysis patients using easily obtainable variables. Study Design: Prospective nationwide multicenter cohort study in the United Kingdom (UK Renal Registry); models were developed using Cox proportional hazards. Setting & Participants: Patients initiating hemodialysis or peritoneal dialysis therapy in 2002-2004 who survived at least 3 months on dialysis treatment were followed up for 3 years. Analyses were restricted to participants for whom information for comorbid conditions and laboratory measurements were available (n = 5,447). The data set was divided into data sets for model development (n = 3,631; training) and validation (n = 1,816) using random selection. Predictors: Basic patient characteristics, comorbid conditions, and laboratory variables. Outcomes: All-cause mortality censored for kidney transplant, recovery of kidney function, and loss to follow-up. Results: In the training data set, 1,078 patients (29.7%) died within the observation period. The final model for the training data set included patient characteristics (age, race, primary kidney disease, and treatment modality), comorbid conditions (diabetes, history of cardiovascular disease, and smoking), and laboratory variables (hemoglobin, serum albumin, creatinine, and calcium levels); reached a C statistic of 0.75 (95% CI, 0.73-0.77); and could discriminate accurately among patients with low (6%), intermediate (19%), high (33%), and very high (59%) mortality risk. The model was applied further to the validation data set and achieved a C statistic of 0.73 (95% CI, 0.71-0.76). Limitations: Number of missing comorbidity data and lack of an external validation data set. Conclusions: Basic patient characteristics, comorbid conditions, and laboratory variables can predict 3-year mortality in incident dialysis patients with sufficient accuracy. Identification of subgroups of patients according to mortality risk can guide future research and subsequently target treatment decisions in individual patients. © 2011 National Kidney Foundation, Inc.

Wan W.,Resource Data
Proceedings of the International Astronautical Congress, IAC | Year: 2013

China's satellite observation system and its massive image information can contribute to the construction of Spatial Information Infrastructures system in the future. The increasing amount of incoming satellite data and increases in the on-demand processing/reprocessing for massive data products are causing an excessive load on the conventional systems. And for service, changes to the current architectures may be necessary to continue providing services efficiently to users. Cloud computing emerges as a new computing paradigm which aims to provide dynamic computing environments for storing and processing very large datasets, and provide users various resources as services. In this paper we analyzed the status and features of the traditional satellite data systems. In order to build "dynamic" cloud data center as the goal, we design the new architecture that enables the Cloud of virtualized resources for providing on-demand processing and archiving services. We introduced a high level application services framework and the underlying technology enablers, such as the resource pools, dynamic expansion, elastic computing, load management, remote sensing workflow engine and so on. The selection of technical approaches is analyzed. This work is an initial effort to build satellite data center based on Cloud, and also represents the evolution from the traditional system to the next generation satellite data center for spatial information infrastructure in the future. Copyright © 2013 by the International Astronautical Federation. ©2013 by the International Astronautical Federation. All rights reserved.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are disclosed for real-time, straight-through processing and real-time presentment of checks and other electronic payment instruments. In one aspect, an image file associated with a payment item received at a first financial institution is generated. The generated image file is transmitted to a second financial institution associated with the payment item immediately after generation of the image file, while the received payment item and generated image file are processing prior to posting a transaction to a customer account at the first financial institution. After completing the processing, a transit item associated with the processed payment item is generated and transmitted to the second financial institution for association with the previously-transmitted image file.

Methods and systems, including computer programs encoded on a non-transitory medium, are disclosed for real-time and/or online straight-through processing, including the forward presentment and return processes of checks and other electronic payment instruments. In one aspect, an image file and transit item associated with a payment item received at a first financial institution are generated during a customer transaction. The image file and item are transmitted to a second financial institution associated with the payment item during the customer transaction performed at the incoming system. The image file and item are then processed and posted at the second financial institution in real-time, with a posting results notification being returned to the first system. During the customer transaction, the first financial institution performs a posting operation based on the posting results notification, thereby allowing the customer and financial institutions to complete the processing of the associated accounts during the customer transaction.

A system for managing medical records based on semantic address parsing. The system comprises a processor, a memory, and an application that comprises a semantic address parser that incorporates a graphical discriminative probabilistic model. When executed by the processor the application receives an address as input comprising tokens and for each token identifies a feature value of at least one feature associated with the token. The application analyzes the feature values to determine an address label for each token and based on the address labels of the tokens, converts the input patient address to a canonical address format. The application searches a data store of medical records to find a stored medical record having a patient address that matches the input address in canonical address format and processes a medical record associated with the input patient address based on the matching stored medical record.

Resource Data | Date: 2015-05-19

computer software to manage data processing for healthcare institutions. Software as a service (SAAS) services featuring software for data processing for health institutions.

Harish M.,Resource Data
Rasayan Journal of Chemistry | Year: 2010

For the long history the irrigation is the foremost important for agriculture in rural areas. This paper discuses the situation in which knowledge of community irrigation systems, useful for policy makers for the welfare of the people in the district. While the instance of national policy that includes the development of new small scale irrigation systems. Today the Chamarajanagr economy is facing a severe crisis on water for irrigational land use and imbalance in water supply among the water users. Some of the reasons for the crisis are that there is a river flow in the district where low rainfall and failure in planning. Using rain water as a resource for micro level planning of water bodies as alternative use of irrigation in the village levels, instead of depending on irrigational projects is required for sustainability in irrigation. © 2010 RASĀYAN. All rights reserved.

Resource Data | Date: 2011-05-16

A search method is provided. The method comprises, building a first plurality of collectors, associating a first plurality of index entries with the first plurality of collectors, wherein each index entry comprises a search target and is associated with at least one of the first plurality of collectors based on a similarity between the search target of the index entry and the at least one collector, selecting a second plurality of collectors from among the first collectors based on a similarity between a search term and each of the second plurality of collectors, selecting a second plurality of index entries from among the index entries associated with the second plurality of collectors based on a similarity between the search term and the search target of each of the index entries associated with the second plurality of collectors, and presenting information related to the second plurality of index entries.

News Article | April 25, 2011

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