Demystifying the advancements of big data analytics in medical diagnosis: an overview
N Naik, Y Rallapalli, M Krishna, AS Vellara… - Engineered …, 2021 - espublisher.com
The healthcare industry generates a large amount of data, driven by record keeping, patient
care, compliance and regulatory requirements. The digitization of the information is called …
care, compliance and regulatory requirements. The digitization of the information is called …
Artificial intelligence, real-world automation and the safety of medicines
A Bate, SF Hobbiger - Drug Safety, 2021 - Springer
Despite huge technological advances in the capabilities to capture, store, link and analyse
data electronically, there has been some but limited impact on routine pharmacovigilance …
data electronically, there has been some but limited impact on routine pharmacovigilance …
[HTML][HTML] Diagnostic trends and prescription patterns in disruptive mood dysregulation disorder and bipolar disorder
RL Findling, X Zhou, P George, PB Chappell - Journal of the American …, 2022 - Elsevier
Objective Disruptive mood dysregulation disorder (DMDD) was introduced in DSM-5 to
distinguish a subset of chronically irritable youth who may be incorrectly diagnosed and/or …
distinguish a subset of chronically irritable youth who may be incorrectly diagnosed and/or …
[HTML][HTML] An industry perspective on the use of machine learning in drug and vaccine safety
JL Painter, R Kassekert, A Bate - Frontiers in Drug Safety and …, 2023 - frontiersin.org
In recent years there has been growing interest in the use of machine learning across the
pharmacovigilance lifecycle to enhance safety monitoring of drugs and vaccines. Here we …
pharmacovigilance lifecycle to enhance safety monitoring of drugs and vaccines. Here we …
Transparent reporting on research using unstructured electronic health record data to generate 'real world'evidence of comparative effectiveness and safety
Research that makes secondary use of administrative and clinical healthcare databases is
increasingly influential for regulatory, reimbursement, and other healthcare decision-making …
increasingly influential for regulatory, reimbursement, and other healthcare decision-making …
[Retracted] Using Artificial Intelligence Technology to Solve the Electronic Health Service by Processing the Online Case Information
G Xu, H Jin - Journal of Healthcare Engineering, 2021 - Wiley Online Library
With the continuous improvement of economic level and the continuous development of
science and technology in China, information technology has begun to integrate into all …
science and technology in China, information technology has begun to integrate into all …
[HTML][HTML] Traditional and innovative approaches for signal detection
This Research Topic of Frontiers in Drug Safety and Regulation has stimulated animated
debate on drug safety signal detection by highlighting two main Research Topic: 1) the need …
debate on drug safety signal detection by highlighting two main Research Topic: 1) the need …
Leveraging Data Pathways for Next Generation Safety Monitoring of Medicines and Vaccines
JL Painter, L Girard, M Glaser… - … on Computational Science …, 2022 - ieeexplore.ieee.org
Safety evaluation of medicines and vaccines is criti-cal to ensure patient safety and maintain
confidence in treatment and disease prevention strategies. Leveraging data pathways for …
confidence in treatment and disease prevention strategies. Leveraging data pathways for …
The Use of Primary Care Electronic Medical Record Data in the Prediction and Identification of Health Service Use
R Johnson - 2023 - search.proquest.com
Primary health care (PHC) services play an essential role in reducing health system burden,
including within emergency departments (ED) and hospitals. The longitudinal nature and …
including within emergency departments (ED) and hospitals. The longitudinal nature and …