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A Search Engine to Access PubMed Monolingual Subsets: Proof of Concept and Evaluation in French

A Search Engine to Access PubMed Monolingual Subsets: Proof of Concept and Evaluation in French

To perform this study, all PubMed citations in French were extracted from PubMed and included in the Multilingual PubMed-French semantic search engine using a specific parser.

Nicolas Griffon, Matthieu Schuers, Lina Fatima Soualmia, Julien Grosjean, Gaétan Kerdelhué, Ivan Kergourlay, Badisse Dahamna, Stéfan Jacques Darmoni

J Med Internet Res 2014;16(12):e271


Semantic Deep Learning: Prior Knowledge and a Type of Four-Term Embedding Analogy to Acquire Treatments for Well-Known Diseases

Semantic Deep Learning: Prior Knowledge and a Type of Four-Term Embedding Analogy to Acquire Treatments for Well-Known Diseases

We viewed this as another type of the four-term analogy, which is not pairwise.This paper presents a semiautomatic approach to extract meaning (semantics) from the unstructured free text of biomedical literature (ie, PubMed systematic reviews [16]).

Mercedes Arguello Casteleiro, Julio Des Diz, Nava Maroto, Maria Jesus Fernandez Prieto, Simon Peters, Chris Wroe, Carlos Sevillano Torrado, Diego Maseda Fernandez, Robert Stevens

JMIR Med Inform 2020;8(8):e16948


Two Decades of Research Using Taiwan’s National Health Insurance Claims Data: Bibliometric and Text Mining Analysis on PubMed

Two Decades of Research Using Taiwan’s National Health Insurance Claims Data: Bibliometric and Text Mining Analysis on PubMed

MethodsData SourceThis study used PubMed to locate publications that may have used NHI claims data as the primary data source because PubMed is the most widely used database for searching medical literature.

Sheng-Feng Sung, Cheng-Yang Hsieh, Ya-Han Hu

J Med Internet Res 2020;22(6):e18457


Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study

Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study

The projection word2vec model improved the performance of Wikipedia embeddings but not that of PubMed embeddings because the performance of original PubMed embeddings was higher than that of the original EHR embeddings.

Chin Lin, Yu-Sheng Lou, Dung-Jang Tsai, Chia-Cheng Lee, Chia-Jung Hsu, Ding-Chung Wu, Mei-Chuen Wang, Wen-Hui Fang

JMIR Med Inform 2019;7(3):e14499


Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study

Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study

characteristics of clinical cancer research using SEER data from mainland China using a bibliometric approach.MethodsSearch StrategyUsing the search terms “Surveillance, Epidemiology, and End Results or SEER, and China,” we identified related publications from the PubMed

Min-Qiang Lin, Chen-Lu Lian, Ping Zhou, Jian Lei, Jun Wang, Li Hua, Juan Zhou, San-Gang Wu

JMIR Med Inform 2020;8(11):e21931


Searching PubMed to Retrieve Publications on the COVID-19 Pandemic: Comparative Analysis of Search Strings

Searching PubMed to Retrieve Publications on the COVID-19 Pandemic: Comparative Analysis of Search Strings

By clicking on a button, PubMed users can quickly apply a ready-made search to identify potentially relevant COVID-19 records in PubMed.

Jeffrey V Lazarus, Adam Palayew, Lauge Neimann Rasmussen, Tue Helms Andersen, Joey Nicholson, Ole Norgaard

J Med Internet Res 2020;22(11):e23449