Journal of Pharmacovigilance

Case control study for risk factors associated with oral cancer in central India

Assessment of Knowledge, Awareness and Practices among Healthcare Professionals about Pharmacovigilance and Adverse Drug Reactions Reporting in …

Assessment of Knowledge about Pharmacovigilance among Medical Students in Puducherry

The comparative evaluation of knowledge, attitude, and practice of different health-care professionals about the pharmacovigilance system of India

Pharmacovigilance in India: present scenario and future challenges

Health Professionals' Knowledge, Attitudes and Practices about Pharmacovigilance in India: A Systematic Review and Meta-Analysis

Knowledge, attitude and practices of pharmacovigilance and adverse drug reaction reporting among pharmacists working in secondary and tertiary governmental hospitals in Kuwait

Pharmacovigilance at Glance:-Safety Monitoring

Navigating the clinical trial pathway: Conception, design, execution, and results dissemination

Pharmacovigilance: Present status and future perspectives

The Epidemic of Substandard and Falsified Medications in Iraq: Evaluating the Effectiveness of National Pharmacovigilance Alerts to Community Pharmacies

Pharmaco-vigilance of oral MethylErgometrine prescriptions for delayed and secondary postpartum haemorrhage

Deep Learning – Based Models for Drug-Drug Interactions Extraction in the Current Biomedical Literature

Dynamic sorted convolutional neural networks for drug-drug interaction extraction

Deep Neural Networks and Embedding Methods in Drugs Interactions Analysis

Pharmacovigilance in India in comparison with the USA and European Union: Challenges and perspectives

An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence

Extracting drug–drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network

TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs

Deep learning for drug–drug interaction extraction from the literature: a review