[HTML][HTML] Artificial intelligence: exploring the future of innovation in allergy immunology
D MacMath, M Chen, P Khoury - Current Allergy and Asthma Reports, 2023 - Springer
Abstract Purpose of Review Artificial intelligence (AI) has increasingly been used in
healthcare. Given the capacity of AI to handle large data and complex relationships between …
healthcare. Given the capacity of AI to handle large data and complex relationships between …
[HTML][HTML] Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: opportunities, challenges, and …
Increasing availability of electronic health databases capturing real-world experiences with
medical products has garnered much interest in their use for pharmacoepidemiologic and …
medical products has garnered much interest in their use for pharmacoepidemiologic and …
Targeted learning: toward a future informed by real-world evidence
Abstract The 21st Century Cures Act of 2016 includes a provision for the US Food and Drug
Administration10. 13039/100000038 (FDA) to evaluate the potential use of Real-World …
Administration10. 13039/100000038 (FDA) to evaluate the potential use of Real-World …
Six years of the US Food and Drug Administration's postmarket active risk identification and analysis system in the sentinel initiative: implications for real world …
JC Maro, MD Nguyen, J Kolonoski… - Clinical …, 2023 - Wiley Online Library
Congress mandated the creation of a postmarket Active Risk Identification and Analysis
(ARIA) system containing data on 100 million individuals for monitoring risks associated with …
(ARIA) system containing data on 100 million individuals for monitoring risks associated with …
The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment
M Khan, S Banerjee, S Muskawad, R Maity… - Current Allergy and …, 2024 - Springer
Abstract Purpose of Review Artificial intelligence (AI), be it neuronal networks, machine
learning or deep learning, has numerous beneficial effects on healthcare systems; however …
learning or deep learning, has numerous beneficial effects on healthcare systems; however …
Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of ICD10 codes
B Hazlehurst, DS Carrell, MA Bann… - American journal …, 2024 - pubmed.ncbi.nlm.nih.gov
Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of ICD10
codes Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of …
codes Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of …
An application of the Causal Roadmap in two safety monitoring case studies: Causal inference and outcome prediction using electronic health record data
Background: Real-world data, such as administrative claims and electronic health records,
are increasingly used for safety monitoring and to help guide regulatory decision-making. In …
are increasingly used for safety monitoring and to help guide regulatory decision-making. In …
Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models
Post marketing safety surveillance depends in part on the ability to detect concerning clinical
events at scale. Spontaneous reporting might be an effective component of safety …
events at scale. Spontaneous reporting might be an effective component of safety …
Practical considerations for variable screening in the Super Learner
BD Williamson, D King, Y Huang - arXiv preprint arXiv:2311.03313, 2023 - arxiv.org
Estimating a prediction function is a fundamental component of many data analyses. The
Super Learner ensemble, a particular implementation of stacking, has desirable theoretical …
Super Learner ensemble, a particular implementation of stacking, has desirable theoretical …
An Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Covariate-Adjustment and Outcome Prediction using Electronic Health Record Data
Real-world data, such as administrative claims and electronic health records, are
increasingly used for safety monitoring and to help guide regulatory decision-making. In …
increasingly used for safety monitoring and to help guide regulatory decision-making. In …