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Journal ArticleDOI

Searching for information in a hypertext medical handbook

E. Frisse Mark
- 01 Jul 1988 - 
- Vol. 31, Iss: 7, pp 880-886
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TLDR
Implementing a popular medical handbook in hypertext underscores the need to study hypertext in the context of full-text document retrieval, machine learning, and user interface issues.
Abstract: 
Medicine is an ideal domain for hypertext applications and research. Implementing a popular medical handbook in hypertext underscores the need to study hypertext in the context of full-text document retrieval, machine learning, and user interface issues.

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Citations
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Patent

Systems and Methods for Integrating Third Party Services with a Digital Assistant

TL;DR: In this paper, an electronic device with one or more processors and memory receives an input of a user, in accordance with the input, identifies a respective task type from a plurality of predefined task types associated with the plurality of third party service providers.
Patent

Competing devices responding to voice triggers

Abstract: At a first electronic device with a display and a microphone: sampling audio input using the first microphone; in accordance with the sampling of audio input using the first microphone, sending stop instructions to a second electronic device with a second microphone, the second electronic device external to the first electronic device, wherein the second electronic device is configured to respond to audio input received using the second microphone, and wherein the stop instructions instruct the second electronic device to forgo responding to audio input received using the second microphone, wherein responding to audio input received using the second microphone comprises providing perceptible output.
Patent

System and method for inferring user intent from speech inputs

TL;DR: In this article, a text string with a first and a second portion is provided, and a domain of the text string is determined by applying a first word-matching process to the first portion of text string.
Proceedings ArticleDOI

Using structured types to incorporate knowledge in hypertext

TL;DR: An object-oriented hypertext model (implemented in the MacWeb system) using structured types to incorporate knowledge in hypertext makes the capture of knowledge at source easier thus allowing a more conceptual navigation.
Patent

Multi-tiered voice feedback in an electronic device

TL;DR: In this paper, the authors proposed a voice feedback system that provides voice feedback for displayed speakable elements based on the associated tier of the display of each speakable element and the audio files for each speaker.
References
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Book

Introduction to Modern Information Retrieval

TL;DR: Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
Book

As We May Think

Vannevar Bush
TL;DR: As the Director of the Office of Scientific Research and Development, Dr. Vannevar Bush has coordinated the activities of some six thousand leading American scientists in the application of science to warfare as mentioned in this paper.
Journal ArticleDOI

Fusion, propagation, and structuring in belief networks

TL;DR: It is shown that if the network is singly connected (e.g. tree-structured), then probabilities can be updated by local propagation in an isomorphic network of parallel and autonomous processors and that the impact of new information can be imparted to all propositions in time proportional to the longest path in the network.
Journal ArticleDOI

Information needs in office practice: are they being met?

TL;DR: The self-reported information needs of 47 physicians during a half day of typical office practice were studied, and physicians raised 269 questions about patient management, related to all medical specialties and were highly specific to the individual patient's problem.
Journal ArticleDOI

Connectionist expert systems

TL;DR: Connectionist networks can be used as expert system knowledge bases and can be constructed from training examples by machine learning techniques, giving a way to automate the generation of expert systems for classification problems.