Advances in Artificial Intelligence: 27th Canadian by Marina Sokolova, Peter van Beek

By Marina Sokolova, Peter van Beek

This e-book constitutes the refereed lawsuits of the twenty seventh Canadian convention on man made Intelligence, Canadian AI 2014, held in Montréal, quality control, Canada, in may perhaps 2014. The 22 common papers and 18 brief papers offered including three invited talks have been conscientiously reviewed and chosen from ninety four submissions. The papers conceal numerous issues inside of AI, resembling: agent platforms; AI purposes; computerized reasoning; bioinformatics and BioNLP; case-based reasoning; cognitive types; constraint pride; information mining; E-commerce; evolutionary computation; video games; details retrieval; wisdom illustration; desktop studying; multi-media processing; traditional language processing; neural nets; making plans; privacy-preserving information mining; robotics; seek; clever photographs; uncertainty; person modeling; internet purposes.

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The daily tasks performed by the doctors registered in the PHIS system are the following: 1. Check patient profile; 2. Check patient laboratory, radiology, and pharmacology results; 3. g. a lab test or an X-ray, or prescribe a medication; 4. View the Patient Summary. New PHIS For Intelligent Adaptation (PHIS2-MA). After the PHIS was designed, PHIS2, the desktop version, was introduced and redesigned to take into account the principles of the HCI in terms of mental model, metaphor, visibility, affordability, and feedback [4].

As these applications become more sophisticated, a trend will inevitably develop towards providing comprehensive support for healthcare practitioners. It is expected that mobile healthcare applications will improve patients’ quality of life, while at the same time reducing system costs, paper records, delays, and errors [2]. An intelligent environment would be an extremely useful way to help adapt applications to users with a wide range of needs [3]. The dynamic work habits of healthcare practitioners, along with the variety and complexity of the healthcare environments in which they operate, represent challenges for software designers, in terms of designing mobile medical applications that meet the needs of these users.

An intelligent environment would be an extremely useful way to help adapt applications to users with a wide range of needs [3]. The dynamic work habits of healthcare practitioners, along with the variety and complexity of the healthcare environments in which they operate, represent challenges for software designers, in terms of designing mobile medical applications that meet the needs of these users. Healthcare practitioners need interfaces tailored to their specific requirements to facilitate their work and to help them avoid the misunderstandings that can result in medical errors [4].

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