scholarly article | Q13442814 |
P50 | author | Kerby Shedden | Q73554789 |
P2093 | author name string | David A Hanauer | |
Kai Zheng | |||
Qiaozhu Mei | |||
Alan R Aronson | |||
Naren Ramakrishnan | |||
Mohammed Saeed | |||
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P433 | issue | 5 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | data set | Q1172284 |
MEDLINE | Q1540899 | ||
P304 | page(s) | 925-937 | |
P577 | publication date | 2014-06-13 | |
P1433 | published in | Journal of the American Medical Informatics Association | Q152037 |
P1476 | title | Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis | |
P478 | volume | 21 |
Q35695502 | Challenges in clinical natural language processing for automated disorder normalization |
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Q37229343 | Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study |
Q28595685 | Improving biomedical information retrieval by linear combinations of different query expansion techniques |
Q41807497 | Interpretable Topic Features for Post-ICU Mortality Prediction |
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Q38785777 | Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. |
Q36024137 | Text Mining of Journal Articles for Sleep Disorder Terminologies. |
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