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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Last data update: Jan 28, 2023
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Prediction of Acute Organophosphate Poisoning Severity Using machine learning techniques.
Sayed Masoud Hosseini et al. Toxicology 2023 153431
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An alternative model for assessing mortality risk in Stevens Johnson syndrome/toxic epidermal necrolysis using a random forests classifier: A pilot study.
Shareef Omar et al. Frontiers in medicine 2022 9935408
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Development and Validation of a Machine Learning Model to Estimate Risk of Adverse Outcomes Within 30 Days of Opioid Dispensation.
Sharma Vishal et al. JAMA network open 2022 5(12) e2248559
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Exploratory pharmacovigilance with machine learning in big patient data: a focused scoping review.
Kaas-Hansen Benjamin Skov et al. Basic & clinical pharmacology & toxicology 2022
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Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data.
Jennings Mariela V et al. Complex psychiatry 2022 8(1-2) 47-55
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Use of Predictive Analytics to Identify Unhealthy Opioid Use and Guide Intervention.
Valdes Elise G et al. Psychiatric services (Washington, D.C.) 2022 appips202200034
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Diagnostic Accuracy of Machine-Learning Models on Predicting Chemo-Brain in Breast Cancer Survivors Previously Treated with Chemotherapy: A Meta-Analysis.
Turcu-Stiolica Adina et al. International journal of environmental research and public health 2022 19(24)
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The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design.
Joyce Cara et al. JMIR research protocols 2022 11(12) e42971
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Geographic information science and the United States opioid overdose crisis: A scoping review of methods, scales, and application areas.
Sauer Jeffery et al. Social science & medicine (1982) 2022 317115525
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Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics.
Li Mengting et al. Frontiers in public health 2022 101000622
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A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: A prospective, multicenter, observational study.
Nilius Henning et al. EClinicalMedicine 2022 55101745
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A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registries.
Breitenstein Peter Suhr et al. Frontiers in pharmacology 2022 13954393
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Deep learning in drug discovery: an integrative review and future challenges.
Askr Heba et al. Artificial intelligence review 2022 1-63
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Machine-Learning Exploration of Exposure-Effect Relationships of Cisplatin in Head and Neck Cancer Patients.
Cauvin Céleste et al. Pharmaceutics 2022 14(11)
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Machine learning nonresponse adjustment of patient-reported opioid consumption data to enable consumption-informed postoperative opioid prescribing guidelines.
Kennedy Chris J et al. Surgery in practice and science 2022 10
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Editorial: Big data shaping clinical trial landscape-Greater role for pharmacoeconomics in Asia.
Jakovljevic Mihajlo et al. Frontiers in public health 2022 101037082
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Predicting efficacy of viloxazine extended-release treatment in adults with ADHD using an early change in ADHD symptoms: Machine learning Post Hoc analysis of a phase 3 clinical trial.
Faraone Stephen V et al. Psychiatry research 2022 318114922
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Identifying Risk Factors, Patient-Reported Experience and Outcome Measures, and Data Capture Tools for an Individualized Pain Prediction Tool in Pediatrics: Focus Group Study.
Wood Michael D et al. JMIR perioperative medicine 2022 5(1) e42341
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AI-Assisted QT Measurements for Highly Automated Drug Safety Studies.
Diaw Mously Dior et al. IEEE transactions on bio-medical engineering 2022 PP
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DeepIDC: A Prediction Framework of Injectable Drug Combination Based on Heterogeneous Information and Deep Learning.
Yang Yuhe et al. Clinical pharmacokinetics 2022
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ndividualised prediction of drug resistance and seizure recurrence after medication withdrawal in people with juvenile myoclonic epilepsy: A systematic review and individual participant data meta-analysis
R Stevelink et al, EBiomedicine, November 11, 2022
Machine learning advances the integration of covariates in population pharmacokinetic models: Valproic acid as an example.
Zhu Xiuqing et al. Frontiers in pharmacology 2022 13994665
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Electronic surveillance of patient safety events using natural language processing.
Ozonoff Al et al. Health informatics journal 2022 28(4) 14604582221132429
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Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning.
Carrell David S et al. American journal of epidemiology 2022
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A systematic literature review for the prediction of anticancer drug response using various machine learning and deep learning techniques.
Singh Davinder Paul et al. Chemical biology & drug design 2022
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Evaluation of supervised machine learning algorithms in predicting the poor anticoagulation control and stable weekly doses of warfarin.
Sridharan Kannan et al. International journal of clinical pharmacy 2022
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Medication Adherence and Cardiometabolic Control Indicators Among American Indian Adults Receiving Tribal Health Services: Protocol for a Longitudinal Electronic Health Records Study.
Scarton Lisa et al. JMIR research protocols 2022 11(10) e39193
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A brainnetome atlas-based methamphetamine dependence identification using neighborhood component analysis and machine learning on functional MRI data.
Zhou Yanan et al. Frontiers in cellular neuroscience 2022 16958437
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Development and Validation of a Mobile Application Based on a Machine Learning Model to Aid in Predicting Dosage of Vitamin K Antagonists Among Indian Patients Post Mechanical Heart Valve Replacement.
M Amruthlal et al. Indian heart journal 2022
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Natural Language Processing and Machine Learning to Identify People Who Inject Drugs in Electronic Health Records.
Goodman-Meza David et al. Open forum infectious diseases 2022 9(9) ofac471
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Page last reviewed:
Jul 25, 2022
Page last updated:
Jan 28, 2023
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