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Genomics & Precision Health Database|Non-Genomics Precision Health Update Archive|Public Health Genomics and Precision Health Knowledge Base (PHGKB) Published on 12/15/2022

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

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Birth Defects and Child Health

Using machine-learning methods to identify early-life predictors of 11-year language outcome.
Gasparini Loretta et al. Journal of child psychology and psychiatry, and allied disciplines 2022

Cancer

Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies.
Sandbank Judith et al. NPJ breast cancer 2022 8(1) 129

A comprehensive machine-learning model applied to MRI to classify germinomas of the pineal region.
Ye Ningrong et al. Computers in biology and medicine 2022 152106366

Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning.
Ji Lichen et al. Frontiers in public health 2022 101015952

Fully automatic tumor segmentation of breast ultrasound images with deep learning.
Zhang Shuai et al. Journal of applied clinical medical physics 2022 e13863

Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data.
Sidey-Gibbons Chris J et al. Scientific reports 2022 12(1) 21269

A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: A multicenter study.
Li Jia et al. EClinicalMedicine 2022 53101704

A Gallbladder Cancer Survival Prediction Model Based on Multimodal Fusion Analysis.
Yin Ziming et al. Digestive diseases and sciences 2022

AI in breast screening mammography: breast screening readers' perspectives.
de Vries Clarisse Florence et al. Insights into imaging 2022 13(1) 186

Building practical risk prediction models for nasopharyngeal carcinoma screening with patient graph analysis and machine learning.
Chen Anjun et al. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2022

A 5-year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms.
Yu Wenke et al. Cancer medicine 2022

Radiation therapist perceptions on how artificial intelligence may affect their role and practice.
O'Shaughnessey Julie et al. Journal of medical radiation sciences 2022

Towards successful implementation of artificial intelligence in skin cancer care: a qualitative study exploring the views of dermatologists and general practitioners.
Sangers Tobias E et al. Archives of dermatological research 2022 1-9

Radiomic-Based machine learning model for the accurate prediction of prostate cancer risk stratification.
Shu Xin et al. The British journal of radiology 2022 20220238

Chronic Disease

Machine learning can predict mild cognitive impairment in Parkinson's disease.
Amboni Marianna et al. Frontiers in neurology 2022 131010147

Spontaneous speech feature analysis for alzheimer's disease screening using a random forest classifier.
Hason Lior et al. Frontiers in digital health 2022 4901419

Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning.
Morano José et al. Computer methods and programs in biomedicine 2022 229107296

MRI-based machine learning model: A potential modality for predicting cognitive dysfunction in patients with type 2 diabetes mellitus.
Xu Zhigao et al. Frontiers in bioengineering and biotechnology 2022 101082794

Diagnostic performance of magnetic resonance imaging-based machine learning in Alzheimer's disease detection: a meta-analysis.
Hu Jiayi et al. Neuroradiology 2022

Machine learning for the prediction of minor amputation in University of Texas grade 3 diabetic foot ulcers.
Wang Shiqi et al. PloS one 2022 17(12) e0278445

Determination of the motor status of patients with advanced Parkinson's disease under levodopa-carbidopa intestinal gel using a machine learning model.
Efthymiopoulou Efthymia et al. Acta neurologica Belgica 2022

Ethical, Legal and Social Issues (ELSI)

A Literature Review on Ethics for AI in Biomedical Research and Biobanking.
Kargl Michaela et al. Yearbook of medical informatics 2022 31(1) 152-160

Is there a civic duty to support medical AI development by sharing electronic health records?
Müller Sebastian et al. BMC medical ethics 2022 23(1) 134

General Practice

Machine learning models for predicting risk of depression in Korean college students: Identifying family and individual factors.
Gil Minji et al. Frontiers in public health 2022 101023010

Personalised depression forecasting using mobile sensor data and ecological momentary assessment.
Kathan Alexander et al. Frontiers in digital health 2022 4964582

[Progress of researches on medical big data analytics technology].
Du Z C et al. Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control 2022 34(5) 465-468

Novelty in Public Health and Epidemiology Informatics.
Diallo Gayo et al. Yearbook of medical informatics 2022 31(1) 273-275

Transforming Health Data to Actionable Information: Recent Progress and Future Opportunities in Health Information Exchange.
Sarkar Indra Neil et al. Yearbook of medical informatics 2022 31(1) 203-214

Translational Bioinformatics to Enable Precision Medicine for All: Elevating Equity across Molecular, Clinical, and Digital Realms.
Tang Alice et al. Yearbook of medical informatics 2022 31(1) 106-115

Special Section on Inclusive Digital Health: Notable Papers on Addressing Bias, Equity, and Literacy to Strengthen Health Systems.
Dixon Brian E et al. Yearbook of medical informatics 2022 31(1) 100-104

A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study.
Fang Cheng et al. Journal of medical Internet research 2022 24(12) e41819

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer.
Parikh Ravi B et al. JCO clinical cancer informatics 2022 6e2200073

Mortality prediction in ICU Using a Stacked Ensemble Model.
Ren Na et al. Computational and mathematical methods in medicine 2022 20223938492

Predicting Overweight and Obesity Status Among Malaysian Working Adults With Machine Learning or Logistic Regression: Retrospective Comparison Study.
Wong Jyh Eiin et al. JMIR formative research 2022 6(12) e40404

Heart, Lung, Blood and Sleep Diseases

Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes.
Biggio Monica et al. Scientific reports 2022 12(1) 21078

Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS).
Li Jia-Xin et al. Global health research and policy 2022 7(1) 48

Deep transformation models for functional outcome prediction after acute ischemic stroke.
Herzog Lisa et al. Biometrical journal. Biometrische Zeitschrift 2022

Development and evaluation of a radiomics model of resting N-ammonia positron emission tomography myocardial perfusion imaging to predict coronary artery stenosis in patients with suspected coronary heart disease.
Zhang Xiaochun et al. Annals of translational medicine 2022 10(21) 1167

Infectious Diseases

Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning.
Colborn Kathryn L et al. Surgery 2022

Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images.
Anai Satoshi et al. Canadian respiratory journal 2022 20228026580

[Current status and prospects of artificial intelligence in schistosomiasis prevention and control].
Li Z A et al. Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control 2022 34(5) 453-457

Human monkeypox diagnose (HMD) strategy based on data mining and artificial intelligence techniques.
Saleh Ahmed I et al. Computers in biology and medicine 2022 152106383

Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings.
Beck Hans-Peter et al. Frontiers in artificial intelligence 2022 5510483

Detection of trachoma using machine learning approaches.
Socia Damien et al. PLoS neglected tropical diseases 2022 16(12) e0010943


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.
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