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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: Apr 17, 2024
. (Total: 63598 Documents since 2012)
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Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites.
Feng He et al. J Med Internet Res 2024 26e41065
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A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study.
Yuqiang Lun et al. Endocrine 2024
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Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer.
Bang Truong et al. Cardiovasc Toxicol 2024
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The development of a prediction model based on deep learning for prognosis prediction of gastrointestinal stromal tumor: a SEER-based study.
Junjie Zeng et al. Sci Rep 2024 14(1) 6609
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Advancements in Glaucoma Diagnosis: The Role of AI in Medical Imaging.
Clerimar Paulo Bragança et al. Diagnostics (Basel) 2024 14(5)
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Mortality risk prediction for primary appendiceal cancer.
Nolan M Winicki et al. Surgery 2024
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Construction of a predictive model for bone metastasis from first primary lung adenocarcinoma within 3 cm based on machine learning algorithm: a retrospective study.
Yu Zhang et al. PeerJ 2024 12e17098
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The Global Burden of Disease Epidemiology-When Big Data Impute the Nonexistent.
Andres Roman-Urrestarazu et al. JAMA Pediatr 2024
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Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques.
Samin Babaei Rikan et al. Sci Rep 2024 14(1) 2371
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Interpretable machine learning model for prediction of overall survival in laryngeal cancer.
Rasheed Omobolaji Alabi et al. Acta Otolaryngol 2024 1-7
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Monitoring the Epidemiology of Otitis Using Free-Text Pediatric Medical Notes: A Deep Learning Approach.
Corrado Lanera et al. J Pers Med 2024 14(1)
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Use of survival support vector machine combined with random survival forest to predict the survival of nasopharyngeal carcinoma patients.
Zhiwei Xiao et al. Transl Cancer Res 2024 12(12) 3581-3590
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Machine learning-based overall and cancer-specific survival prediction of M0 penile squamous cell carcinomaļ¼A population-based retrospective study.
Di Chen et al. Heliyon 2024 10(1) e23442
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Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database.
Zhen-Tian Guo et al. Int J Endocrinol 2024 20239965578
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Machine learning based on SEER database to predict distant metastasis of thyroid cancer.
Lixue Qiao et al. Endocrine 2023
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All aboard the ChatGPT steamroller: Top 10 ways to make artificial intelligence work for healthcare professionals.
Lemuel R Non et al. Antimicrob Steward Healthc Epidemiol 2023 3(1) e243
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External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population.
Olasubomi J Omoleye et al. Radiol Artif Intell 2023 5(6) e220299
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Deep-learning-based survival prediction of patients with lower limb melanoma.
Jinrong Zhang et al. Discov Oncol 2023 14(1) 218
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Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study.
Yupeng He et al. JMIR Form Res 2023 7e50193
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Prediction of 5-year survival in soft tissue leiomyosarcoma using a machine learning model algorithm.
Pramod N Kamalapathy et al. J Surg Oncol 2023
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Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning.
Xugang Zhong et al. Sci Rep 2023 13(1) 18301
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Development and validation of an artificial intelligence prediction model and a survival risk stratification for lung metastasis in colorectal cancer from highly imbalanced data: A multicenter retrospective study.
Weiyuan Zhang et al. Eur J Surg Oncol 2023 49(12) 107107
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Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive.
Zi-He Peng et al. Sci Rep 2023 13(1) 18424
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A new prognostic model of esophageal squamous cell carcinoma based on Cloud-least squares support vector machine.
Ke Liu et al. J Thorac Dis 2023 15(9) 4938-4948
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Predicting cutaneous malignant melanoma patients' survival using deep learning: a retrospective cohort study.
Siyu Cai et al. J Cancer Res Clin Oncol 2023
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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)
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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
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Comparative Effectiveness Analysis of Lumpectomy and Mastectomy for Elderly Female Breast Cancer Patients: A Deep Learning-based Big Data Analysis.
Jiping Wang et al. Yale J Biol Med 2023 96(3) 327-346
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Prediction of diabetic kidney disease risk using machine learning models: a population-based cohort study of Asian adults.
Charumathi Sabanayagam et al. Elife 2023 12
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A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
Binxu Qiu et al. Front Oncol 2023 131235121
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 17, 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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