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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Sep 26, 2022. (Total: 49614 Documents since 2012)
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Query Trace: all[original query]>>Medication[Category]
Deep learning and machine intelligence: New computational modeling techniques for discovery of the combination rules and pharmacodynamic characteristics of Traditional Chinese Medicine.
Li Dongna et al. European journal of pharmacology 2022 175260
Predicting adverse drug events in older inpatients: a machine learning study.
Hu Qiaozhi et al. International journal of clinical pharmacy 2022
The Intervention of Data Mining in the Allocation Efficiency of Multiple Intelligent Devices in Intelligent Pharmacy.
Li Xiaohua et al. Computational intelligence and neuroscience 2022 20225371575
Application of random forest model to predict the demand of essential medicines for non-communicable diseases management in public health facilities.
Mbonyinshuti François et al. The Pan African medical journal 2022 4289
A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease.
Xingwei Wu et al. Frontiers in pharmacology 2022 13804566
The Use of Chatbots as Supportive Agents for People Seeking Help with Substance Use Disorder: A Systematic Review.
Ogilvie Lisa et al. European addiction research 2022 1-14
Novel Method for Early Prediction of Clinically Significant Drug-Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU.
Yalçin Nadir et al. Journal of clinical medicine 2022 11(16)
Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy
H Hakim et al, JAMA Neurology, August 29, 2022
Impact of individual and treatment characteristics on wearable sensor-based digital biomarkers of opioid use.
Chapman Brittany P et al. NPJ digital medicine 2022 5(1) 123
PK-RNN-V E: A Deep Learning Model Approach to Vancomycin Therapeutic Drug Monitoring Using Electronic Health Record Data.
Nigo Masayuki et al. Journal of biomedical informatics 2022 104166
Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study.
Sakhaee Ehsan et al. Health science reports 2022 5(5) e767
Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis.
Watts Devon et al. Translational psychiatry 2022 12(1) 332
Individualized Prospective Prediction of Opioid Use Disorder.
Liu Yang S et al. Canadian journal of psychiatry. Revue canadienne de psychiatrie 2022 7067437221114094
Aiding the prescriber: developing a machine learning approach to personalized risk modeling for chronic opioid therapy amongst US Army soldiers.
Bjarnadóttir Margrét Vilborg et al. Health care management science 2022
The Use of Artificial Intelligence in Pharmacovigilance: A Systematic Review of the Literature.
Salas Maribel et al. Pharmaceutical medicine 2022
An artificial intelligence approach for predicting cardiotoxicity in breast cancer patients receiving anthracycline.
Chang Wei-Ting et al. Archives of toxicology 2022
Using deep learning-based natural language processing to identify reasons for statin nonuse in patients with atherosclerotic cardiovascular disease.
Sarraju Ashish et al. Communications medicine 2022 288
Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System.
Mehrpour Omid et al. BMC pharmacology & toxicology 2022 23(1) 49
Novel digital approaches to the assessment of problematic opioid use.
Freda Philip J et al. BioData mining 2022 15(1) 14
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information
HY Jang et al, NPJ Digital Medicine, July 11, 2022
Machine Learning and Artificial Intelligence: A paradigm shift in Big Data-Driven Drug Design and Discovery.
Pasrija Purvashi et al. Current topics in medicinal chemistry 2022
Analyzing adverse drug reaction using statistical and machine learning methods: A systematic review.
Kim Hae Reong et al. Medicine 2022 101(25) e29387
Computational drug repurposing based on electronic health records: a scoping review
N Zhong et al, NPJ Digital Medicine, June 14, 2022
Data Veracity of Patients and Health Consumers Reported Adverse Drug Reactions on Twitter: Key Linguistic Features, Twitter Variables, and Association Rules.
Lyu Tianchu et al. Studies in health technology and informatics 2022 290552-556
Predictors of Emergency Department Opioid Use Among Adolescents and Young Adults.
Ruskin Daniel et al. Pediatric emergency care 2022
The Massachusetts public health data warehouse and the opioid epidemic: A qualitative study of perceived strengths and limitations for advancing research.
Evans Elizabeth A et al. Preventive medicine reports 2022 28101847
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.
Afshar Majid et al. The Lancet. Digital health 2022 4(6) e426-e435
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study.
Lo-Ciganic Wei-Hsuan et al. The Lancet. Digital health 2022 4(6) e455-e465
Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme-A Post Hoc Analysis.
Huang Yung-Chuan et al. Journal of personalized medicine 2022 12(5)
Modular multi--source prediction of drug side--effects with DruGNN.
Bongini Pietro et al. IEEE/ACM transactions on computational biology and bioinformatics 2022 PP
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