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Mining Medical Literature

Mining Medical Literature

Mining Medical Literature. Vignesh Ganapathy (CS 374 : Algorithms in Biology) (FALL 2005). Outline. Introduction and Background Mining Technique 1: Identifying Functionally Coherent Gene Groups Mining Technique 2: Extracting Synonymous gene and protein terms Conclusions. Outline.

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838 views • 59 slides
Extraction of Ontological Information from Corpora (and Lexicon)

Extraction of Ontological Information from Corpora (and Lexicon)

Extraction of Ontological Information from Corpora (and Lexicon). Dimitrios Kokkinakis dimitrios.kokkinakis@svenska.gu.se Maria Toporowska Gronostaj maria.gronostaj@svenska.gu.se. Outline. Goals & Observations, Resources Related Research

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619 views • 45 slides
Topic Extraction from Biology Literature: Prior, Labeling, and Switching

Topic Extraction from Biology Literature: Prior, Labeling, and Switching

Topic Extraction from Biology Literature: Prior, Labeling, and Switching. Qiaozhu Mei. A Sample Topic. Word Distribution (language model). Meaningful labels. labels. actin filaments flight muscle flight muscles. filaments 0.0410238 muscle 0.0327107

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393 views • 29 slides
COMPETENCE-BASED INSTRUCTION

COMPETENCE-BASED INSTRUCTION

COMPETENCE-BASED INSTRUCTION. Compiled by Rizky Nurul Amalia Hanny Anisatu Surya Yakob Metboki Budi Ilhami. Two product-based CLT approaches :. Text-based instruction and Competency-based instruction Examining two product-based CLT approaches:

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755 views • 23 slides
ENGLISH 098 Interpretive Analysis

ENGLISH 098 Interpretive Analysis

ENGLISH 098 Interpretive Analysis. Exercise and Invention Strategies for Comparative Analysis. PART ONE.

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264 views • 13 slides
Virtual Learning: Using Interactive Video (IAV) To Reduce Risky Sexual Behavior

Virtual Learning: Using Interactive Video (IAV) To Reduce Risky Sexual Behavior

Virtual Learning: Using Interactive Video (IAV) To Reduce Risky Sexual Behavior. Lynn Miller, Stephen Read, Robert Appleby, Johnnie Christensen, Mary Nwosu, & Carlos Godoy. How Can We Reduce Risky Sex for a High Risk Population of Men who Have Sex with Men (MSM)?.

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192 views • 9 slides
The good, the bad, and the ugly

The good, the bad, and the ugly

The good, the bad, and the ugly. Ugly: Most IS implement ad hoc solutions to T+C Good: Managing T+C is not the bottleneck in developing MIIS Many turn-taking / control issues can be solved by a priori analysis or explicit run-time negotiation Bad: Domain knowledge is still king.

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348 views • 4 slides

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