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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 23, 2024
. (Total: 63653 Documents since 2012)
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PRERISK: A Personalized, Artificial Intelligence-Based and Statistically-Based Stroke Recurrence Predictor for Recurrent Stroke.
Giorgio Colangelo et al. Stroke 2024
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Machine Learning-Based Nomogram for Predicting Overall Survival in Elderly Patients with Cirrhotic Hepatocellular Carcinoma Undergoing Ablation Therapy.
Wenying Qiao et al. J Hepatocell Carcinoma 2024 11509-523
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An ecological examination of early adolescent e-cigarette use: A machine learning approach to understanding a health epidemic.
Alejandro L Vázquez et al. PLoS One 2024 19(2) e0287878
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AUD-DSS: a decision support system for early detection of patients with alcohol use disorder.
Ali Ebrahimi et al. BMC Bioinformatics 2023 24(1) 329
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Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods.
Seong Gyu Choi et al. Sci Rep 2023 13(1) 13101
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Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15)
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A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics.
Hari Mohan Rai et al. J Cancer Res Clin Oncol 2023
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FASDetect as a machine learning-based screening app for FASD in youth with ADHD
L Ehrig et al, NPJ Digital Medicine, July 19, 2023
The Influence of Using Novel Predictive Technologies on Judgments of Stigma, Empathy, and Compassion among Healthcare Professionals.
Daniel Z Buchman et al. AJOB Neurosci 2023 1-14
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Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.
Alison Giovanelli et al. J Med Internet Res 2023 25e40306
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Development and validation of an overdose risk prediction tool using prescription drug monitoring program data.
Walid F Gellad et al. Drug and alcohol dependence 2023 246109856
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Big Data Analytics to Reduce Preventable Hospitalizations-Using Real-World Data to Predict Ambulatory Care-Sensitive Conditions.
Timo Schulte et al. International journal of environmental research and public health 2023 20(6)
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Development of a computerized adaptive substance use disorder scale for screening, measurement and diagnosis - The CAT-SUD-E.
Leslie A Hulvershorn et al. Drug and alcohol dependence reports 2023 3100047
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Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes.
Xiaomin Fu et al. Frontiers in endocrinology 2023 131061507
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Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016.
Abdul-Aziz Kebede Kassaw et al. BMC infectious diseases 2023 23(1) 49
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Predicting Low Cognitive Ability at Age 5-Feature Selection Using Machine Learning Methods and Birth Cohort Data.
Bowe Andrea K et al. International journal of public health 2022 671605047
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Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data.
Patel Jay S et al. Frontiers in artificial intelligence 2022 5979525
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Evaluation of machine learning algorithms for predicting direct-acting antiviral treatment failure among patients with chronic hepatitis C infection.
Park Haesuk et al. Scientific reports 2022 12(1) 18094
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Ethics of digital therapeutics (DTx).
Refolo P et al. European review for medical and pharmacological sciences 2022 26(18) 6418-6423
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Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.
Zhou Mingjuan et al. Frontiers in medicine 2022 9811890
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Wearable accelerometer-derived physical activity and incident disease.
Khurshid Shaan et al. NPJ digital medicine 2022 5(1) 131
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The Use of Chatbots as Supportive Agents for People Seeking Help with Substance Use Disorder: A Systematic Review.
Ogilvie Lisa et al. European addiction research 2022 1-14
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Evaluating the ability of the NLHA2 and artificial neural network models to predict COVID-19 severity, and comparing them with the four existing scoring systems.
Dong Yue et al. Microbial pathogenesis 2022 105735
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Development and Validation of Machine Models Using Natural Language Processing to Classify Substances Involved in Overdose Deaths.
Goodman-Meza David et al. JAMA network open 2022 5(8) e2225593
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Psychosocial markers of age at onset in bipolar disorder: a machine learning approach.
Bolton Sorcha et al. BJPsych open 2022 8(4) e133
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Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning.
Olsson Max et al. BMJ open 2022 12(6) e061242
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Facial imaging to screen for foetal alcohol spectrum disorder (FASD): A scoping review.
Roomaney I et al. Alcoholism, clinical and experimental research 2022
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Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.
Afshar Majid et al. The Lancet. Digital health 2022 4(6) e426-e435
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Predictive Modeling of Mental Illness Onset Using Wearable Devices and Medical Examination Data: Machine Learning Approach.
Saito Tomoki et al. Frontiers in digital health 2022 4861808
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Using machine learning to predict heavy drinking during outpatient alcohol treatment.
Roberts Walter et al. Alcoholism, clinical and experimental research 2022 46(4) 657-666
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 23, 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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