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Precision Health Database


Precision Health Database|Search|PHGKB

Last data update: Oct 03, 2023. (Total: 61706 Documents since 2012)
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Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review.
Arman Ghavidel et al. J Cancer Surviv 2023
Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models.
Chenai Mlandu et al. BMC Med Inform Decis Mak 2023 23(1) 191
Machine learning in precision diabetes care and cardiovascular risk prediction.
Evangelos K Oikonomou et al. Cardiovasc Diabetol 2023 22(1) 259
Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study.
William Lammons et al. J Med Internet Res 2023 25e49303
Deep learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study.
Kotaro Miura et al. EClinicalMedicine 2023 63102141
Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data.
Yaxu Zhuang et al. Ann Surg 2023
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)
Predicting cutaneous malignant melanoma patients' survival using deep learning: a retrospective cohort study.
Siyu Cai et al. J Cancer Res Clin Oncol 2023
Improved assessment of left ventricular ejection fraction using artificial intelligence in echocardiography: A comparative analysis with cardiac magnetic resonance imaging.
Krunoslav Michael Sveric et al. Int J Cardiol 2023 131383
Deep Learning of Speech Data for Early Detection of Alzheimer's Disease in the Elderly.
Kichan Ahn et al. Bioengineering (Basel) 2023 10(9)
Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach.
Shuo-Chen Chien et al. Cancers (Basel) 2023 15(18)
Clinical Decision Support System to Detect the Occurrence of Ventilator-Associated Pneumonia in Pediatric Intensive Care.
Jerome Rambaud et al. Diagnostics (Basel) 2023 13(18)
Implementing AI Models for Prognostic Predictions in High-Risk Burn Patients.
Chin-Choon Yeh et al. Diagnostics (Basel) 2023 13(18)
Artificial Intelligence Models in Health Information Exchange: A Systematic Review of Clinical Implications.
Sahar Borna et al. Healthcare (Basel) 2023 11(18)
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning.
Audrey Shiner et al. Genes (Basel) 2023 14(9)
Paving the Way for Predicting the Progression of Cognitive Decline: The Potential Role of Machine Learning Algorithms in the Clinical Management of Neurodegenerative Disorders.
Caterina Formica et al. J Pers Med 2023 13(9)
Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning.
Aitizaz Ali et al. Sensors (Basel) 2023 23(18)
Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients.
Chien Wei Oei et al. Sensors (Basel) 2023 23(18)
Enhanced and unenhanced: Radiomics models for discriminating between benign and malignant cystic renal masses on CT images: A multi-center study.
Lesheng Huang et al. PLoS One 2023 18(9) e0292110
Using unsupervised machine learning to predict quality of life after total knee arthroplasty.
J Hunter et al. J Arthroplasty 2023
The promise of data science for health research in Africa.
Clement A Adebamowo et al. Nat Commun 2023 14(1) 6084
Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation.
Hamed Akhlaghi et al. Emerg Med Australas 2023
Artificial Intelligence-Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study.
Alfred Sorbello et al. JMIR AI 2023 2
Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?
Thomas G Day et al. Prenat Diagn 2023
Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms.
Xue Tao et al. Sci Rep 2023 13(1) 16437
Text generative artificial intelligence tools for clinical applications: scope and concerns.
Akhilesh Vikram Singh et al. Ir J Med Sci 2023
Development and testing of a random forest-based machine learning model for predicting events among breast cancer patients with a poor response to neoadjuvant chemotherapy.
Yudi Jin et al. Eur J Med Res 2023 28(1) 394
Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.
Noorain et al. Curr Drug Metab 2023
Development of a machine learning algorithm based on administrative claims data for identification of ED anaphylaxis patient visits.
Ronna L Campbell et al. J Allergy Clin Immunol Glob 2023 2(1) 61-68
Challenges in mapping European rare disease databases, relevant for ML-based screening technologies in terms of organizational, FAIR and legal principles: scoping review.
Ralitsa Raycheva et al. Front Public Health 2023 111214766
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