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Precision Health Database| Non-Genomics Precision Health Weekly Scan|PHGKB
Publication Date: Sep 22, 2022

news News and Publications

Birth Defects and Child Health

Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children.
Song Chao et al. Frontiers in psychiatry 2022 13960672

Cancer

Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer.
Kim Young-Gon et al. Cancer research and treatment 2022

An Online Prognostic Application for Melanoma Based on Machine Learning and Statistics.
Liu Wenhui et al. Journal of plastic, reconstructive & aesthetic surgery : JPRAS 2022

Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder Cancer.
Gresser Eva et al. European urology focus 2022

Diagnosis of hepatocellular carcinoma based on salivary protein glycopatterns and machine learning algorithms.
Tang Zhen et al. Clinical chemistry and laboratory medicine 2022

Evaluation of cancer outcome assessment using MRI: A review of deep-learning methods.
Mazaheri Yousef et al. BJR open 2022 4(1) 20210072

Artificial intelligence in lung cancer: Application and future thinking.
Zhao Wei et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2022 47(8) 994-1000

Artificial intelligence diagnosis based on breast ultrasound imaging.
Lan Zihan et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2022 47(8) 1009-1015

Thy-Wise: An interpretable machine learning model for the evaluation of thyroid nodules.
Jin Zhe et al. International journal of cancer 2022

Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge.
Yin Liangyu et al. The American journal of clinical nutrition 2022

Breast MRI Tumor Automatic Segmentation and Triple-Negative Breast Cancer Discrimination Algorithm Based on Deep Learning.
Guo Ying-Ying et al. Computational and mathematical methods in medicine 2022 20222541358

Chronic Disease

Development and validation of a risk score for diabetic kidney disease prediction in type 2 diabetes patients: a machine learning approach.
Hosseini Sarkhosh S M et al. Journal of endocrinological investigation 2022

The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review.
Hossain Md Zakir et al. BMC medical informatics and decision making 2022 22(1) 242

Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study.
Nowinka Zuzanna et al. JMIR formative research 2022 6(9) e36130

Novel Internet of Things based approach toward diabetes prediction using deep learning models.
Naseem Anum et al. Frontiers in public health 2022 10914106

Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study.
Di Shuang et al. JMIR formative research 2022 6(9) e37838

Predicting conversion of brain β-amyloid positivity in amyloid-negative individuals.
Park Chae Jung et al. Alzheimer's research & therapy 2022 14(1) 129

Develop a diagnostic tool for dementia using machine learning and non-imaging features.
Wang Huan et al. Frontiers in aging neuroscience 2022 14945274

General Practice

Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses.
Diaz Ochoa Juan G et al. Artificial intelligence in medicine 2022 131102359

Effects of reliability indicators on usage, acceptance and preference of predictive process management decision support systems.
Fröhlich Peter et al. Quality and user experience 2022 7(1) 6

Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.
Ng Chloe Theresia et al. Journal of medical imaging and radiation sciences 2022

Depression diagnosis using machine intelligence based on spatiospectrotemporal analysis of multi-channel EEG.
Nassibi Amir et al. Medical & biological engineering & computing 2022

Automated Identification of Clinical Procedures in Free-Text Electronic Clinical Records with a Low-Code Named Entity Recognition Workflow.
Macri Carmelo et al. Methods of information in medicine 2022

On the role of artificial intelligence in psychiatry.
Rocheteau Emma et al. The British journal of psychiatry : the journal of mental science 2022 1-4

Governance of Clinical AI applications to facilitate safe and equitable deployment in a large health system: Key elements and early successes.
Liao Frank et al. Frontiers in digital health 2022 4931439

Heart, Lung, Blood and Sleep Diseases

Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology.
Javaid Aamir et al. American journal of preventive cardiology 2022 12100379

Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning.
Kokubo Takahiro et al. International heart journal 2022

Safety and usability of wearable accelerometers for stroke detection the STROKE ALARM PRO 1 study.
Esbjörnsson Magnus et al. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 2022 31(11) 106762

Comparative studies of deep learning segmentation models for left ventricle segmentation.
Shoaib Muhammad Ali et al. Frontiers in public health 2022 10981019

Infectious Diseases

Predictive Risk Model for Serious Falls Among Older Persons Living With HIV.
Womack Julie A et al. Journal of acquired immune deficiency syndromes (1999) 2022 91(2) 168-174

Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.
He Jiajin et al. Frontiers in public health 2022 10967681

Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network.
Su Ri et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2022 47(8) 1037-1048

Medication

Predicting adverse drug events in older inpatients: a machine learning study.
Hu Qiaozhi et al. International journal of clinical pharmacy 2022

Reproductive Health

Development of a Model Predicting the Outcome of In Vitro Fertilization Cycles by a Robust Decision Tree Method.
Fu Kaiyou et al. Frontiers in endocrinology 2022 13877518

Adverse pregnancy outcomes in women with systemic lupus erythematosus: can we improve predictions with machine learning?
Fazzari Melissa J et al. Lupus science & medicine 2022 9(1)

Development and validation of prediction models for gestational diabetes treatment modality using supervised machine learning: a population-based cohort study.
Liao Lauren D et al. BMC medicine 2022 20(1) 307

Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.
Cheredath Aswathi et al. Reproductive sciences (Thousand Oaks, Calif.) 2022

About Weekly Scan

This weekly update features emerging roles of big data science, machine learning, and predictive analytics across the life span. The weekly 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 weekly sweep also includes news, reviews, commentaries, tools and database.


Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the 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 update, 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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