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CrossRef Text and Data Mining |
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Analysis of Unstructured Data on Detecting of New Drug Indication of Atorvastatin |
Hwee-Soo Jeong, Gil-Won Kang, Woong Choi, Jong-Hyock Park, Kwang-Soo Shin, Young-Sung Suh |
J Health Info Stat. 2018;43(4):329-335. Published online 2018 November 30 DOI: https://doi.org/10.21032/jhis.2018.43.4.329 |
Analysis of Unstructured Data on Detecting of New Drug Indication of Atorvastatin Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets Atorvastatin attenuates the paraquat-induced pulmonary inflammation via PPARγ receptors: A new indication for atorvastatin Detecting Unusual Behaviour and Mining Unstructured Data Detecting Sensitive Information from Unstructured Text in a Data-Constrained Environment Comparisons of self-report data and oral fluid testing in detecting drug use amongst new treatment clients Occam’s Razor for Big Data? On Detecting Quality in Large Unstructured Datasets A NEW INDICATION FOR AN OLD DRUG Detecting Named Entities in Unstructured Bengali Manuscript Images PrivacyBot: Detecting Privacy Sensitive Information in Unstructured Texts 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). 2019; |
This metadata service is kindly provided by CrossRef from May 29, 2014. J Health Info Stat has participated in CrossRef Text and Data Mining service since March 1, 2016. |