Tracking Footprints through an Information Space: Leveraging the Document Selections of Expert Problem Solvers A. Project Summary
ثبت نشده
چکیده
The goal of this project is to help an expert problem solver find needed information in a large, complex information space, locating sufficient information to solve the problem at hand without the distraction of redundant or irrelevant information. We focus on one example of expert problem solving, the health care field, where the medical record of a patient can be a large, complex, and geographically distributed collection of documents, created by a diverse array of health professionals, for divergent purposes, over an extended period of time. Sorting through such a collection, even an electronic one, to find needed information can be a formidable and time consuming task.
منابع مشابه
A survey on Automatic Text Summarization
Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...
متن کاملTest and Evaluation of Patient Tracking Platform: Use of Near Field Communication
In an earthquake situation, medical response communities such as field and referral hospitals are being challenged with injured victims’ identification and tracking. In our project, we developed a patient tracking platform (PTP). In this platform, first responders triage the patients with an electronic tag that reports the location and some information of each patient during his or her movement...
متن کاملImproved Skips for Faster Postings List Intersection
Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...
متن کاملImproved Skips for Faster Postings List Intersection
Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...
متن کاملTracking evolution's footprints in the genome
genome sequencing project is all very well, but even before the champagne runs dry questions are asked about how best to use all the sequence information. The observation that less than 2% of the human genome sequence actually encodes proteins is a sobering issue for the ‘post-genomic era’. And finding functionally relevant information within the non-coding sequence presents a formidable challe...
متن کامل