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
A Systematic Literature Review on the Application of Machine-Learning Models in Behavioral Assessment of Autism Spectrum Disorder.
Cavus Nadire et al. Journal of personalized medicine 2021 11(4)
Clinical use of machine learning-based patho-mics signature for diagnosis and survival prediction of bladder cancer.
Chen Siteng et al. Cancer science 2021
Artificial intelligence for clinical oncology.
Kann Benjamin H et al. Cancer cell 2021
Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.
van Dijk Lisanne V et al. American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting 2021 411-11
AI to expand the reach of oncology trials- Data-driven clinical trial simulation could help to optimize inclusion criteria
Nature Medicine, April 29, 2021
Artificial intelligence in oncology: From bench to clinic.
Elkhader Jamal et al. Seminars in cancer biology 2021
Towards Patient-Centered Decision-Making in Breast Cancer Surgery: Machine Learning to Predict Individual Patient-Reported Outcomes at 1-Year Follow-up.
Pfob André et al. Annals of surgery 2021
A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) Therapy.
Hasic Telalovic Jasminka et al. Diagnostics (Basel, Switzerland) 2021 11(5)
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.
Banegas-Luna Antonio Jesús et al. International journal of molecular sciences 2021 22(9)
The Role of Artificial Intelligence in Managing Multimorbidity and Cancer.
Cesario Alfredo et al. Journal of personalized medicine 2021 11(4)
Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).
Hajjo Rima et al. Diagnostics (Basel, Switzerland) 2021 11(5)
Differential Metabolic Network Construction for Personalized Medicine: Study of Type 2 Diabetes Mellitus Patients Response to Gliclazide-Modified-Release-Treated.
Huang Xin et al. Journal of biomedical informatics 2021 103796
Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.
Lewinski Allison A et al. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing 2021
Does Physical Activity Predict Obesity-A Machine Learning and Statistical Method-Based Analysis.
Cheng Xiaolu et al. International journal of environmental research and public health 2021 18(8)
Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms.
Alcalá-Rmz Vanessa et al. Healthcare (Basel, Switzerland) 2021 9(4)
Toward a remote assessment of walking bout and speed: application in patients with multiple sclerosis.
Atrsaei Arash et al. IEEE journal of biomedical and health informatics 2021 PP
Monitoring Information-Seeking Patterns and Obesity Prevalence in Africa With Internet Search Data: Observational Study.
Oladeji Olubusola et al. JMIR public health and surveillance 2021 7(4) e24348
Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification.
Haque Fahmida et al. Diagnostics (Basel, Switzerland) 2021 11(5)
Predictive Values of Preoperative Characteristics for 30-Day Mortality in Traumatic Hip Fracture Patients.
Cao Yang et al. Journal of personalized medicine 2021 11(5)
Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem Using Convolutional Neural Networks with Attention Mechanism.
Zulkifley Mohd Asyraf et al. Diagnostics (Basel, Switzerland) 2021 11(5)
Using Naturalistic Driving Data to Predict Mild Cognitive Impairment and Dementia: Preliminary Findings from the Longitudinal Research on Aging Drivers (LongROAD) Study.
Di Xuan et al. Geriatrics (Basel, Switzerland) 2021 6(2)
Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease.
Lu Xue et al. European radiology 2021
Ethics review of big data research: What should stay and what should be reformed?
Ferretti Agata et al. BMC medical ethics 2021 22(1) 51
Equity in essence: a call for operationalising fairness in machine learning for healthcare.
Wawira Gichoya Judy et al. BMJ health & care informatics 2021 28(1)
Ensuring that biomedical AI benefits diverse populations
J Zhou et al, E Biomedicine, May 4, 2021
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study.
Tan Tien-En et al. The Lancet. Digital health 2021 3(5) e317-e329
Future artificial intelligence tools and perspectives in medicine.
Chaddad Ahmad et al. Current opinion in urology 2021
Modeling of atmospheric particulate matters via artificial intelligence methods.
Cihan Pinar et al. Environmental monitoring and assessment 2021 193(5) 287
Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning.
Donisi Leandro et al. Sensors (Basel, Switzerland) 2021 21(8)
How artificial intelligence can help us 'Choose Wisely'.
Mehta Nishila et al. Bioelectronic medicine 2021 7(1) 5
Comparison of Prediction Models for Acute Kidney Injury Among Patients with Hepatobiliary Malignancies Based on XGBoost and LASSO-Logistic Algorithms.
Zhang Yunlu et al. International journal of general medicine 2021 141325-1335
Application of big-data for epidemiological studies of refractive error.
Moore Michael et al. PloS one 2021 16(4) e0250468
Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison-Cardiac MRI Radiomics in Pulmonary Hypertension.
Priya Sarv et al. Journal of clinical medicine 2021 10(9)
Smart Wearables for Cardiac Monitoring-Real-World Use beyond Atrial Fibrillation.
Duncker David et al. Sensors (Basel, Switzerland) 2021 21(7)
Predicting mortality and hospitalization in heart failure using machine learning: A systematic literature review.
Mpanya Dineo et al. International journal of cardiology. Heart & vasculature 2021 34100773
The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence.
Goh Brendon et al. PLoS neglected tropical diseases 2021 15(4) e0009218
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:Mar 28, 2024
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