Watson: beyond jeopardy!
TLDR
A vision for an evidence-based clinical decision support system that affords exploration of a broad range of hypotheses and their associated evidence, as well as uncovers missing information that can be used in mixed-initiative dialog is elaborated upon.About:
This article is published in Artificial Intelligence.The article was published on 2013-06-01 and is currently open access. It has received 272 citations till now. The article focuses on the topics: Watson & Clinical decision support system.read more
Citations
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Places: A 10 Million Image Database for Scene Recognition
TL;DR: The Places Database is described, a repository of 10 million scene photographs, labeled with scene semantic categories, comprising a large and diverse list of the types of environments encountered in the world, using the state-of-the-art Convolutional Neural Networks as baselines, that significantly outperform the previous approaches.
Journal ArticleDOI
Machine learning for data-driven discovery in solid Earth geoscience
TL;DR: Solid Earth geoscience is a field that has very large set of observations, which are ideal for analysis with machine-learning methods, and how these methods can be applied to solid Earth datasets is reviewed.
Journal ArticleDOI
Multitask learning and benchmarking with clinical time series data.
TL;DR: This work proposes four clinical prediction benchmarks using data derived from the publicly available Medical Information Mart for Intensive Care (MIMIC-III) database, covering a range of clinical problems including modeling risk of mortality, forecasting length of stay, detecting physiologic decline, and phenotype classification.
Journal ArticleDOI
Introduction to This is Watson
TL;DR: A brief history of the events and ideas that positioned the team to take on the Jeopardy! challenge, build Watson, IBM Watson™, and ultimately triumph is provided, and how the system performed at champion levels is summarized.
Proceedings ArticleDOI
Towards wearable cognitive assistance
TL;DR: The architecture and prototype implementation of an assistive system based on Google Glass devices for users in cognitive decline that combines the first-person image capture and sensing capabilities of Glass with remote processing to perform real-time scene interpretation is described.
References
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Building Watson: An Overview of the DeepQA Project
David A. Ferrucci,Eric W. Brown,Jennifer Chu-Carroll,James Fan,David C. Gondek,Aditya Kalyanpur,Adam Lally,J. William Murdock,Eric Nyberg,John M. Prager,Nico Schlaefer,Chris Welty +11 more
TL;DR: The results strongly suggest that DeepQA is an effective and extensible architecture that may be used as a foundation for combining, deploying, evaluating and advancing a wide range of algorithmic techniques to rapidly advance the field of QA.
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Diagnostic error in internal medicine.
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A simple algorithm for identifying negated findings and diseases in discharge summaries
TL;DR: It is concluded that with little implementation effort a simple regular expression algorithm for determining whether a finding or disease mentioned within narrative medical reports is present or absent can identify a large portion of the pertinent negatives from discharge summaries.
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