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Precision Health Database


Precision Health Database|Search|PHGKB

Last data update: May 31, 2023. (Total: 60044 Documents since 2012)
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Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework
J Silberman et al, NPJ Digital Medicine, May 31, 2023
Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data.
A Isosalo et al. Comput Biol Med 2023 161107023
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
Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning.
Yiwu Sun et al. BMC Anesthesiol 2023 23(1) 178
Artificial Intelligence Technologies in Cardiology.
Lukasz Ledzinski et al. J Cardiovasc Dev Dis 2023 10(5)
Symptoms for early diagnosis of chronic kidney disease in children - a machine learning-based score.
Paulo Cesar Koch Nogueira et al. Eur J Pediatr 2023
Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review.
Jinsun Jung et al. Heliyon 2023 9(5) e16110
COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets.
Miftahul Qorib et al. Int J Environ Res Public Health 2023 20(10)
The Effects of Artificial Intelligence Assistance on the Radiologists' Assessment of Lung Nodules on CT Scans: A Systematic Review.
Lotte J S Ewals et al. J Clin Med 2023 12(10)
Diagnosis of Liver Fibrosis Using Artificial Intelligence: A Systematic Review.
Stefan Lucian Popa et al. Medicina (Kaunas) 2023 59(5)
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population-based observational study.
Maria-Eleni Syleouni et al. Int J Cancer 2023
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications.
Jin Li et al. NPJ Digit Med 2023 6(1) 98
Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
Ke Yun et al. J Transl Med 2023 21(1) 353
Early Childhood Predictors for Dental Caries: A Machine Learning Approach.
L Toledo Reyes et al. J Dent Res 2023 220345231170535
Prosodic signatures of ASD severity and developmental delay in preschoolers.
Michel Godel et al. NPJ Digit Med 2023 6(1) 99
Triaging Patients With Artificial Intelligence for Respiratory Symptoms in Primary Care to Improve Patient Outcomes: A Retrospective Diagnostic Accuracy Study.
Steindór Ellertsson et al. Ann Fam Med 2023 21(3) 240-248
The Quality and Utility of Artificial Intelligence in Patient Care.
Kai Wehkamp et al. Dtsch Arztebl Int 2023 (Forthcoming)
Field Measures Are All You Need: Predicting Need for Surgery in Elderly Ground-Level Fall Patients via Machine Learning.
Tara Shooshani et al. Am Surg 2023 31348231177917
Utilization of interpretable machine learning model to forecast the risk of major adverse kidney events in elderly patients in critical care.
Lin Wang et al. Ren Fail 2023 45(1) 2215329
Using machine-learning methods to predict in-hospital mortality through the Elixhauser index: A Medicare data analysis.
Jianfang Liu et al. Res Nurs Health 2023
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning.
Dejia Zhou et al. BMC Med Inform Decis Mak 2023 23(1) 99
Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study.
Jae Sung Kim et al. JMIR Form Res 2023 7e45991
Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.
Alison Giovanelli et al. J Med Internet Res 2023 25e40306
Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review.
Roneel V Sharan et al. Int J Med Inform 2023 176105093
Overall survival prediction models for gynecological endometrioid adenocarcinoma with squamous differentiation (GE-ASqD) using machine-learning algorithms.
Xiangmei Liu et al. Sci Rep 2023 13(1) 8395
Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity.
Jansen N Seheult et al. J Clin Microbiol 2023 e0029123
Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis.
Marc-Antoine Delbarre et al. JACC Cardiovasc Imaging 2023
Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer.
Nienke Bakx et al. Tech Innov Patient Support Radiat Oncol 2023 26100211
Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020.
Tom M de Groot et al. Clin Orthop Relat Res 2023
[Evidence synthesis 2.0: how artificial intelligence is making systematic reviews more efficient.].
Davide Petri et al. Recenti Prog Med 2023 114(6) 359-361
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