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09/14/2023
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
Large language models (LLMs) have shown remarkable capabilities in Natur...
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03/22/2023
Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques
Physical rehabilitation plays a crucial role in the recovery process of ...
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06/01/2020
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space
Learning accurate drug representation is essential for tasks such as com...
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05/24/2019
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials
Personalized medicine seeks to identify the causal effect of treatment f...
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05/25/2017
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion
Many real datasets contain values missing not at random (MNAR). In this ...
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02/13/2017
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Constraint-based causal discovery (CCD) algorithms require fast and accu...
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07/14/2016
Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values
The PC algorithm allows investigators to estimate a complete partially d...
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09/14/2015
Markov Boundary Discovery with Ridge Regularized Linear Models
Ridge regularized linear models (RRLMs), such as ridge regression and th...
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07/28/2014
Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data
Motivation: Algorithms that discover variables which are causally relate...
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07/09/2014
Counting Markov Blanket Structures
Learning Markov blanket (MB) structures has proven useful in performing ...
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02/01/2014
Markov Blanket Ranking using Kernel-based Conditional Dependence Measures
Developing feature selection algorithms that move beyond a pure correlat...
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10/11/2013