About Non-Genomics Precision Health Scan
This update features emerging roles of big data science, machine learning, and predictive analytics across the life span. The scan focus on various conditions including, birth defects, newborn screening, reproductive health, childhood diseases, cancer, chronic diseases, medication, family health history, guidelines and recommendations. The sweep also includes news, reviews, commentaries, tools and database. View Data Selection Criteria
Non-Genomics Precision Health Scan
Development and Validation of Algorithms to Estimate Live Birth Gestational Age in Medicaid Analytic eXtract Data.
Zhu Yanmin et al. Epidemiology (Cambridge, Mass.) 2022 34(1) 69-79
Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study.
Liu Zheng et al. Frontiers in pediatrics 2022 10899954
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework.
Alqaysi M E et al. Computational and mathematical methods in medicine 2022 20229410222
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
Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models.
Liang Wenjie et al. BMC cancer 2022 22(1) 1237
Head and neck cancer predictive risk estimator to determine control and therapeutic outcomes of radiotherapy (HNC-PREDICTOR): development, international multi-institutional validation, and web implementation of clinic-ready model-based risk stratification for head and neck cancer.
van Dijk Lisanne V et al. European journal of cancer (Oxford, England : 1990) 2022 178150-161
Investigation of small lung lesion detection for lung cancer screening in low dose FDG PET imaging by deep neural networks.
Guo Haijun et al. Frontiers in public health 2022 101047714
A CT-Based Deep Learning Radiomics Nomogram to Predict Histological Grades of Head and Neck Squamous Cell Carcinoma.
Zheng Ying-Mei et al. Academic radiology 2022
Identifying hepatocellular carcinoma patients with survival benefits from surgery combined with chemotherapy: based on machine learning model.
Hu Jie et al. World journal of surgical oncology 2022 20(1) 377
Feasibility of a Reinforcement Learning-Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study.
Bucher Amy et al. JMIR formative research 2022 6(11) e42343
Hierarchical Voting-Based Feature Selection and Ensemble Learning Model Scheme for Glioma Grading with Clinical and Molecular Characteristics.
Tasci Erdal et al. International journal of molecular sciences 2022 23(22)
Clinical evaluation of malignancy diagnosis of rare thyroid carcinomas by an artificial intelligent automatic diagnosis system.
Wang Yuan et al. Endocrine 2022
Chest X-ray-based opportunistic screening of sarcopenia using deep learning.
Ryu Jin et al. Journal of cachexia, sarcopenia and muscle 2022
Decoding degeneration: the implementation of machine learning for clinical detection of neurodegenerative disorders.
Khaliq Fariha et al. Neural regeneration research 2022 18(6) 1235-1242
Artificial intelligence models for the diagnosis and management of liver diseases.
Nishida Naoshi et al. Ultrasonography (Seoul, Korea) 2022
A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data.
Tan Wei Ying et al. Journal of Alzheimer's disease : JAD 2022
Clinical application of artificial intelligence in longitudinal image analysis of bone age among GHD patients.
Zhang Lina et al. Frontiers in pediatrics 2022 10986500
Machine Learning for Diagnosis of Systemic Lupus Erythematosus: A Systematic Review and Meta-Analysis.
Zhou Yuan et al. Computational intelligence and neuroscience 2022 20227167066
Parkinson's Disease Diagnosis beyond Clinical Features: A Bio-marker using Topological Machine Learning of rs-fMRI.
Xu Nan et al. Neuroscience 2022
Machine learning modeling practices to support the principles of AI and ethics in nutrition research.
Thomas Diana M et al. Nutrition & diabetes 2022 12(1) 48
Informatics and data science perspective on Future of Nursing 2020-2030: Charting a pathway to health equity.
Bakken Suzanne et al. Nursing outlook 2022 70(6S1) S77-S87
Evaluating an under-mattress sleep monitor compared to a peripheral arterial tonometry home sleep apnea test device in the diagnosis of obstructive sleep apnea.
Jagielski Jack T et al. Sleep & breathing = Schlaf & Atmung 2022
Development of a Cloud-Based Clinical Decision Support System for Ophthalmology Triage Using Decision Tree Artificial Intelligence.
Tanya Stuti M et al. Ophthalmology science 2022 3(1) 100231
Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach.
Yang Jiaxin et al. Frontiers in public health 2022 101049069
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review.
Motwani Anand et al. Artificial intelligence in medicine 2022 134102431
Machine-learning prediction for hospital length of stay using a French medico-administrative database.
Jaotombo Franck et al. Journal of market access & health policy 2022 11(1) 2149318
The scientific progress and prospects of artificial intelligence in digestive endoscopy: A comprehensive bibliometric analysis.
Gan Pei-Ling et al. Medicine 2022 101(47) e31931
Randomized Clinical Trials of Artificial Intelligence in Medicine: Why, When, and How?
Park Seong Ho et al. Korean journal of radiology 2022 23(12) 1119-1125
Artificial intelligence and health inequities in primary care: a systematic scoping review and framework.
d'Elia Alexander et al. Family medicine and community health 2022 10(Suppl 1)
Application of machine learning in the diagnosis of vestibular disease.
Anh Do Tram et al. Scientific reports 2022 12(1) 20805
Using artificial intelligence to improve pain assessment and pain management: a scoping review.
Zhang Meina et al. Journal of the American Medical Informatics Association : JAMIA 2022
Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China.
Lou He-Ren et al. BMC public health 2022 22(1) 2167
External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app.
Verma Deepika et al. International journal of medical informatics 2022 170104936
An explainable machine learning model for predicting the outcome of ischemic stroke after mechanical thrombectomy.
Yao Zhelv et al. Journal of neurointerventional surgery 2022
Prediction of anemia using facial images and deep learning technology in the emergency department.
Zhang Aixian et al. Frontiers in public health 2022 10964385
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk.
Raghunath Sushravya et al. Journal of electrocardiology 2022 7661-65
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
Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis.
Simon Steven T et al. Journal of medical Internet research 2022 24(12) e42163
Predicting hypertension onset from longitudinal electronic health records with deep learning.
Datta Suparno et al. JAMIA open 2022 5(4) ooac097
Real-time 3D echocardiographic transilluminated imaging combined with artificially intelligent left atrial appendage measurement for atrial fibrillation interventional procedures.
Sun Aijiao et al. Frontiers in physiology 2022 131043551
Artificial Intelligence as an Aid in CBCT Airway Analysis: A Systematic Review.
Tsolakis Ioannis A et al. Life (Basel, Switzerland) 2022 12(11)
Development and application of survey-based artificial intelligence for clinical decision support in managing infectious diseases: A pilot study on a hospital in central Vietnam.
Kim Kwanghyun et al. Frontiers in public health 2022 101023098
Use of big data on the social determinants of TB to find the "missing millions".
Biermann O et al. The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease 2022 26(12) 1194-1196
Machine-learning-derived sepsis bundle of care.
Kalimouttou Alexandre et al. Intensive care medicine 2022
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review.
Maturana Carles Rubio et al. Frontiers in microbiology 2022 131006659
Use of artificial intelligence and deep learning in fetal ultrasound imaging.
Ramirez Zegarra R et al. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 2022
Disclaimer: Articles listed in Non-Genomics Precision Health Scan are selected by the CDC Office of Genomics and Precision Public Health to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:Apr 25, 2024
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