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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 16, 2024
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A different way to diagnosis acute appendicitis: machine learning.
Ahmet Tarik Harmantepe et al. Pol Przegl Chir 2024 96(2) 38-43
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Artificial Intelligence and Pain Medicine: An Introduction.
Jonathan M Hagedorn et al. J Pain Res 2024 17509-518
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Applications of Artificial Intelligence in Pain Medicine.
Alaa Abd-Elsayed et al. Curr Pain Headache Rep 2024
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Predictive models for palliative care needs of advanced cancer patients receiving chemotherapy.
Arisa Kawashima et al. J Pain Symptom Manage 2024
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Analysis of Changes in Sleep Quality and Patterns after Hip Fracture Using Real Evidence of Artificial Intelligence Linked (REAL) Hip Cohort Data.
Yonghan Cha et al. Medicina (Kaunas) 2023 59(12)
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Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.
Yicheng Wang et al. Front Cardiovasc Med 2023 101296405
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Artificial Intelligence and Machine Learning in Cancer Related Pain: A Systematic Review.
Vivian Salama et al. medRxiv 2023
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How Can the Clinical Aptitude of AI Assistants Be Assayed?
Arun James Thirunavukarasu et al. J Med Internet Res 2023 25e51603
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Use of artificial intelligence to identify patients to be assessed in a breast clinic on 2-week wait: a retrospective cohort study.
Ahsan Rao et al. Ann Med Surg (Lond) 2023 85(11) 5459-5463
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Accelerating Chest Pain Evaluation with Machine Learning.
Phyllis Thangaraj et al. Eur Heart J Acute Cardiovasc Care 2023
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A Deep Learning-Based Model for Classifying Osteoporotic Lumbar Vertebral Fractures on Radiographs: A Retrospective Model Development and Validation Study.
Yohei Ono et al. J Imaging 2023 9(9)
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Using unsupervised machine learning to predict quality of life after total knee arthroplasty.
J Hunter et al. J Arthroplasty 2023
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Development and validation of a multimodal feature fusion prognostic model for lumbar degenerative disease based on machine learning: a study protocol.
Zhipeng Wang et al. BMJ Open 2023 13(9) e072139
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Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study.
Pawel Widera et al. Osteoarthr Cartil Open 2023 5(4) 100406
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A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.
Zachary H Strasser et al. PLOS Digit Health 2023 2(7) e0000301
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Machine Learning Models to Predict Kidney Stone Recurrence Using 24 Hour Urine Testing and Electronic Health Record-Derived Features.
Patrick Doyle et al. Res Sq 2023
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.
Marco Cascella et al. Pain Res Manag 2023 20236018736
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Randomized-controlled trial assessing a digital care program versus conventional physiotherapy for chronic low back pain
D Cui et al, NPJ Digital Medicine, July 7, 2023
Opioid-related harms and care impacts of conventional and AI-based prescription management strategies: insights from leveraging agent-based modeling and machine learning.
Narjes Shojaati et al. Front Digit Health 2023 51174845
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Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.
Salah S Al-Zaiti et al. Nat Med 2023
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Pre-test probability for coronary artery disease in patients with chest pain based on machine learning techniques.
Byoung Geol Choi et al. Int J Cardiol 2023
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Using machine learning algorithms to identify chronic heart disease: National Health and Nutrition Examination Survey 2011-2018.
Xiaofei Chen et al. J Cardiovasc Med (Hagerstown) 2023
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Unsupervised learning for prognostic validity in patients with chronic pain in transdisciplinary pain care.
Irina A Strigo et al. Sci Rep 2023 13(1) 7581
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Algorithms to Identify Nonmedical Opioid Use.
Kimberley C Brondeel et al. Current pain and headache reports 2023
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A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.
Adrien Bordner et al. Diagnostic and interventional imaging 2023
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Machine Learning Prediction of Urine Cultures in Primary Care.
Daniel Parente et al. Annals of family medicine 2023 (21 Suppl 1)
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Towards a deeper understanding of pain: How machine learning and deep learning algorithms are needed to provide the next generation of pain medicine for use in the clinic.
Scott Alexander Holmes et al. Neurobiology of pain (Cambridge, Mass.) 2023 12100108
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Integrating multimodal information in machine learning for classifying acute myocardial infarction.
Ran Xiao et al. Physiological measurement 2023
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Characterizing Female Firearm Suicide Circumstances: A Natural Language Processing and Machine Learning Approach.
Evan V Goldstein et al. American journal of preventive medicine 2023
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Gait, physical activity and tibiofemoral cartilage damage: a longitudinal machine learning analysis in the Multicenter Osteoarthritis Study.
Kerry E Costello et al. British journal of sports medicine 2023
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 16, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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