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A Staged Approach Using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture

SSRN Electronic Journal(2024)10.2139/ssrn.4889454Source: DataRank Database

A Staged Approach Using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture is a research paper published in SSRN Electronic Journal (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Enrichment:Funding (5 grants)OA: greenTopics (29)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (11)

Kristoffer Larsen,Nancy E. Lane ORCID,Zhao Chen ORCID,Kuan‐Jui Su,Joyce H. Keyak ORCID

Live enrichment

PubMed:38855554 OpenAlex:https://openalex.org/W4399252881

National Institutes of Health

Grant: 5R01AG061917-02

Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and Blacks

National Institutes of Health

Grant: 1R01AR069055-01A1

Decoding Methylation Mediated Epigenomic Contributions to Male Osteoporosis

National Institutes of Health

Grant: 5P20GM109036-05

Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases

National Institutes of Health

Grant: 5U19AG055373-04

Trans-omics integration of multi-omics studies for male osteoporosis

National Institutes of Health

Grant: 1R15HL172198-01

Multi-modality Image Fusion to Improve Coronary Revascularization in Patients with Stable Coronary Artery Disease

greenLicense: CC BY

repositoryhttp://dx.doi.org/10.2139/ssrn.4889454

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38855554

repositoryhttp://arxiv.org/abs/2405.20071

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11160872

Fields of Study

Hip and Femur FracturesRadiomics and Machine Learning in Medical ImagingBone health and osteoporosis research02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Hip fractureArtificial intelligenceConvolutional neural networkMachine learningEnsemble learningSensitivity (control systems)Ensemble forecastingComputer scienceMedicineInternal medicineEngineeringOsteoporosisArticles from the Special Issue on "Artificial Intelligence / Machine Learning in bone research", Edited by Jeffry Nyman, Mustafa Unal, Cheryl Ackert-Bicknell and Karl J LewisFOS: Computer and information sciencesComputer Science - Machine LearningDual-energy X-ray absorptiometryFOS: Physical sciencesDiseases of the musculoskeletal systemPhysics - Medical PhysicsMachine Learning (cs.LG)RC925-935Bone mineral densityMedical Physics (physics.med-ph)Uncertainty quantification

Sustainable Development Goals

SDG 3: 3. Good health