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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)
Heart, Lung, Blood and Sleep Disorders
Last data update: Mar 28, 2024
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Blood Diseases[original query]
Comparison of different machine learning classification models for predicting deep vein thrombosis in lower extremity fractures.
Conghui Wei et al. Sci Rep 2024 14(1) 6901
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Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer.
Siqi Hu et al. JCO Clin Cancer Inform 2023 7e2300083
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Applications of Artificial Intelligence in Thrombocytopenia.
Amgad M Elshoeibi et al. Diagnostics (Basel, Switzerland) 2023 13(6)
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Development and validation of machine learning models for postoperative venous thromboembolism prediction in colorectal cancer inpatients: a retrospective study.
Li Qin et al. Journal of gastrointestinal oncology 2023 14(1) 220-232
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Machine Learning-Based Detection of Dengue from Blood Smear Images Utilizing Platelet and Lymphocyte Characteristics.
Mayrose Hilda et al. Diagnostics (Basel, Switzerland) 2023 13(2)
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Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods.
Bogale Dawit S et al. BMC medical informatics and decision making 2022 22(1) 341
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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 non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia.
Sarsam Samer Muthana et al. Artificial intelligence in medicine 2022 134102428
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Prediction of anemia using facial images and deep learning technology in the emergency department.
Zhang Aixian et al. Frontiers in public health 2022 10964385
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Adverse pregnancy outcomes in women with systemic lupus erythematosus: can we improve predictions with machine learning?
Fazzari Melissa J et al. Lupus science & medicine 2022 9(1)
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Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction.
Zhou Jian et al. BioMed research international 2022 20228552358
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A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams.
Huang Robert J et al. JCO clinical cancer informatics 2022 6e2200039
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Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials.
Qin Yidi et al. Critical care (London, England) 2022 26(1) 128
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A Deep Learning Model for the Automatic Recognition of Aplastic Anemia, Myelodysplastic Syndromes, and Acute Myeloid Leukemia Based on Bone Marrow Smear.
Wang Meifang et al. Frontiers in oncology 2022 12844978
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Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease.
Zou Yutong et al. Renal failure 2022 44(1) 562-570
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Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables.
Jin Shuai et al. International journal of medical informatics 2022 161104733
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Automated prediction of low ferritin concentrations using a machine learning algorithm.
Kurstjens Steef et al. Clinical chemistry and laboratory medicine 2022
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Predictive Modeling of Survival and Toxicity in Patients With Hepatocellular Carcinoma After Radiotherapy.
Chamseddine Ibrahim et al. JCO clinical cancer informatics 2022 6e2100169
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Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.
Alsayegh Faisal et al. PloS one 2022 17(1) e0262997
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An Interpretable Early Dynamic Sequential Predictor for Sepsis-Induced Coagulopathy Progression in the Real-World Using Machine Learning.
Cui Ruixia et al. Frontiers in medicine 2021 8775047
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Segmentation of Gastric Computerized Tomography Images under Intelligent Algorithms in Evaluation of Efficacy of Decitabine Combined with Paclitaxel in Treatment of Gastric Cancer.
Ge Zhenghui et al. Journal of healthcare engineering 2021 20218023490
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Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.
Cho Giphil et al. Scientific reports 2021 11(1) 21831
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Digital Endpoints: Definition, Benefits, and Current Barriers in Accelerating Development and Adoption.
Landers Matthew et al. Digital biomarkers 2021 5(3) 216-223
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Deep learning evaluation of biomarkers from echocardiogram videos.
Hughes J Weston et al. EBioMedicine 2021 73103613
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Identifying Individualized Risk Profiles for Radiotherapy-Induced Lymphopenia Among Patients With Esophageal Cancer Using Machine Learning.
Zhu Cong et al. JCO clinical cancer informatics 2021 51044-1053
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Cardiac Diagnostic Feature and Demographic Identification (CDF-DI): An IoT Enabled Healthcare Framework Using Machine Learning.
Kumar Deepak et al. Sensors (Basel, Switzerland) 2021 21(19)
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Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia.
Bitew Fikrewold H et al. Public health nutrition 2021 1-29
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The TVGH-NYCU Thal-Classifier: Development of a Machine-Learning Classifier for Differentiating Thalassemia and Non-Thalassemia Patients.
Fu Yi-Kai et al. Diagnostics (Basel, Switzerland) 2021 11(9)
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Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning.
Kainz Bernhard et al. NPJ digital medicine 2021 4(1) 137
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Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
B Kainz et al, NPJ Digital Medicine, September 15, 2021
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Page last reviewed:
Feb 1, 2024
Page last updated:
Mar 28, 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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