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Intelligent Word Embeddings of Free-Text Radiology Reports

Intelligent Word Embeddings of Free-Text Radiology Reports

19 November 2017
Imon Banerjee
Sriraman Madhavan
R. Goldman
D. Rubin
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Intelligent Word Embeddings of Free-Text Radiology Reports"

8 / 8 papers shown
Beyond Accuracy: Measuring Representation Capacity of Embeddings to
  Preserve Structural and Contextual Information
Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information
Sarwan Ali
206
0
0
20 Sep 2023
A Systematic Review of Natural Language Processing Applied to Radiology
  Reports
A Systematic Review of Natural Language Processing Applied to Radiology Reports
Arlene Casey
Emma Davidson
Michael Poon
Hang Dong
Daniel Duma
...
Víctor Suárez-Paniagua
Richard Tobin
William Whiteley
Honghan Wu
Beatrice Alex
AI4CE
306
184
0
18 Feb 2021
Harbsafe-162. A Domain-Specific Data Set for the Intrinsic Evaluation of
  Semantic Representations for Terminological Data
Harbsafe-162. A Domain-Specific Data Set for the Intrinsic Evaluation of Semantic Representations for Terminological Data
S. Arndt
Dieter Schnäpp
84
0
0
29 May 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale
  Chest Computed Tomography Volumes
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
R. Draelos
D. Dov
Maciej A. Mazurowski
Joseph Y. Lo
Ricardo Henao
Heidi Hanson
Lawrence Carin
389
112
0
12 Feb 2020
DeepSeeNet: A deep learning model for automated classification of
  patient-based age-related macular degeneration severity from color fundus
  photographs
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographsOphthalmology (Rochester, Minn.) (Ophthalmology), 2018
Yifan Peng
S. Dharssi
Qingyu Chen
T. Keenan
Elvira Agrón
W. Wong
E. Chew
Zhiyong Lu
MedIm
283
301
0
19 Nov 2018
A Scalable Machine Learning Approach for Inferring Probabilistic
  US-LI-RADS Categorization
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization
Imon Banerjee
H. Choi
T. Desser
D. Rubin
86
9
0
15 Jun 2018
Automatic Coding for Neonatal Jaundice From Free Text Data Using
  Ensemble Methods
Automatic Coding for Neonatal Jaundice From Free Text Data Using Ensemble Methods
Scott Werwath
84
2
0
02 May 2018
Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic
  Cancer Patients
Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients
Imon Banerjee
Michael Gensheimer
D. Wood
S. Henry
D. Chang
D. Rubin
202
29
0
09 Jan 2018
1
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