Health Information Science: Second International Conference, by Ramzi A. Haraty, Mirna Naous (auth.), Guangyan Huang,

By Ramzi A. Haraty, Mirna Naous (auth.), Guangyan Huang, Xiaohui Liu, Jing He, Frank Klawonn, Guiqing Yao (eds.)

This publication constitutes the refereed complaints of the second one overseas convention on healthiness info technology, HIS 2013, held in London, united kingdom, in March 2013. The 20 complete papers offered including three brief papers, three demo papers and one poster during this quantity have been conscientiously reviewed and chosen from various submissions. The papers conceal all facets of well-being details sciences and platforms that aid the well-being info administration and well-being provider supply. The scope of the convention contains 1) medical/health/biomedicine info assets, akin to sufferer scientific documents, units and equipments, software program and instruments to catch, shop, retrieve, approach, examine, and optimize using details within the well-being area, 2) info administration, info mining, and data discovery, all of which play a key position within the choice making, administration of public health and wellbeing, exam of criteria, privateness and safety matters, and three) improvement of latest architectures and functions for wellbeing and fitness details systems.

Show description

Read Online or Download Health Information Science: Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings PDF

Best health books

Best Care Anywhere: Why VA Health Care Is Better Than Yours (2nd Edition)

Most sensible Care wherever, second version demonstrates how an ongoing caliber revolution within the nation’s veterans hospitals presents deep classes for reforming the U. S. well-being care method as a complete. the hot version is very well timed with the winding down of the nationwide debate over healthiness care coverage reform, to be able to inevitably shift concentration of reform to the perform of medication itself.

The Blue Zones Solution: Eating and Living Like the World's Healthiest People

Dan Buettner, the recent York occasions bestselling writer of The Blue Zones, lays out a confirmed plan to maximise your well-being in keeping with the practices of the world's healthiest humans. For the 1st time, Buettner finds tips on how to remodel your wellbeing and fitness utilizing clever consuming and way of life behavior gleaned from new examine at the diets, consuming behavior, and way of life practices of the groups he's pointed out as "Blue Zones"--those areas with the world's longest-lived, and hence healthiest, humans.

Extra resources for Health Information Science: Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings

Example text

Access might also be denied if the patient’s mobile device’s battery runs out in a location far from the location of the emergency. This would mean that the telecom provider’s data shows the last known location of the patient’s device in a different area. However, that could also be solved with an algorithm that would estimate the possibility a patient could travel from the last known location to the location of the emergency. Also, access to a patient’s key share might be denied because the patient did not have his/her mobile device at the location where the emergency occurred.

Since we are assuming the cloud to be untrusted, we assume that PHRs are available to any entity on the cloud. However, the PHRs would be encrypted with ciphertextpolicy attribute based encryption. In this section we will provide a more detailed description of attribute based encryption and threshold encryption. 1 Attribute Based Encryption When using Biometrics as identities for Identity Based Encryption, the values of the biometric feature readings contain noise. Amit Sahai and Brent Waters [1] tackled this problem and in doing so, they also introduced what is now known as Attribute Based Encryption.

In addition, these models are always used in retrospective studies; conclusions can sometimes be drawn from these models, but the conclusions are not useful for individualizing patient treatment. To overcome the shortcomings of statistical methods in predicting LOS, some researchers have implemented artificial intelligence methods. SVMs and model-tree-based regression have been shown to perform well in model training and model explanation [15], but their application adaptability and prediction accuracy need to be improved.

Download PDF sample

Rated 4.85 of 5 – based on 43 votes