Pharmacovigilance

Text Mining of Adverse Events in Clinical Trials: Deep Learning Approach

Daphne Chopard, Matthias S Treder, Padraig Corcoran, Nagheen Ahmed, Claire Johnson, Monica Busse, Irena Spasic

JMIR Med Inform 2021 (Dec 24); 9(12):e28632

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An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study

Alessandro Passardi, Patrizia Serra, Caterina Donati, Federica Fiori, Sabrina Prati, Roberto Vespignani, Gabriele Taglioni, Patrizia Farfaneti Ghetti, Giovanni Martinelli, Oriana Nanni, Mattia Altini, Giovanni Luca Frassineti, Martina Vittoria Minguzzi

J Med Internet Res 2021 (Dec 20); 23(12):e31321

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Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case

Aurélie Bannay, Mathilde Bories, Pascal Le Corre, Christine Riou, Pierre Lemordant, Pascal Van Hille, Emmanuel Chazard, Xavier Dode, Marc Cuggia, Guillaume Bouzillé

JMIR Med Inform 2021 (Dec 13); 9(12):e29286

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The Utility of Different Data Standards to Document Adverse Drug Event Symptoms and Diagnoses: Mixed Methods Study

Erina Chan, Serena S Small, Maeve E Wickham, Vicki Cheng, Ellen Balka, Corinne M Hohl

J Med Internet Res 2021 (Dec 10); 23(12):e27188

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Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

Hong Wu, Jiatong Ji, Haimei Tian, Yao Chen, Weihong Ge, Haixia Zhang, Feng Yu, Jianjun Zou, Mitsuhiro Nakamura, Jun Liao

JMIR Med Inform 2021 (Dec 01); 9(12):e26407

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Detecting Adverse Drug Events Through the Chronological Relationship Between the Medication Period and the Presence of Adverse Reactions From Electronic Medical Record Systems: Observational Study

Kei Teramoto, Toshihiro Takeda, Naoki Mihara, Yoshie Shimai, Shirou Manabe, Shigeki Kuwata, Hiroshi Kondoh, Yasushi Matsumura

JMIR Med Inform 2021 (Nov 01); 9(11):e28763

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Areas of Interest and Attitudes Toward Antiobesity Drugs: Thematic and Quantitative Analysis Using Twitter

Miguel Angel Alvarez-Mon, Maria Llavero-Valero, Angel Asunsolo del Barco, Cristina Zaragozá, Miguel A Ortega, Guillermo Lahera, Javier Quintero, Melchor Alvarez-Mon

J Med Internet Res 2021 (Oct 26); 23(10):e24336

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Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation

Soham Dasgupta, Aishwarya Jayagopal, Abel Lim Jun Hong, Ragunathan Mariappan, Vaibhav Rajan

JMIR Med Inform 2021 (Oct 25); 9(10):e32730

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Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis

Adam Lavertu, Tymor Hamamsy, Russ B Altman

J Med Internet Res 2021 (Oct 21); 23(10):e27714

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Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus

Shinichi Matsuda, Takumi Ohtomo, Shiho Tomizawa, Yuki Miyano, Miwako Mogi, Hiroshi Kuriki, Terumi Nakayama, Shinichi Watanabe

JMIR Public Health Surveill 2021 (Jun 29); 7(6):e29238

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The Use of Social Media in Detecting Drug Safety–Related New Black Box Warnings, Labeling Changes, or Withdrawals: Scoping Review

Jae-Young Lee, Yae-Seul Lee, Dong Hyun Kim, Han Sol Lee, Bo Ram Yang, Myeong Gyu Kim

JMIR Public Health Surveill 2021 (Jun 28); 7(6):e30137

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Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis

Chunying Shen, Bin Jiang, Qilian Yang, Chengnan Wang, Kevin Z Lu, Meng Gu, Jing Yuan

JMIR Mhealth Uhealth 2021 (Jun 15); 9(6):e26262

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Distributed Ledger Infrastructure to Verify Adverse Event Reporting (DeLIVER): Proposal for a Proof-of-Concept Study

Madison Milne-Ives, Ching Lam, Najib Rehman, Raja Sharif, Edward Meinert

JMIR Res Protoc 2021 (Jun 10); 10(6):e28616

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Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data

Koustuv Saha, John Torous, Emre Kiciman, Munmun De Choudhury

JMIR Ment Health 2021 (Mar 19); 8(3):e26589

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