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Genomics and Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB
Last data update: Oct 23, 2019. (Total: 26578 Documents since 2012)
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Query Trace: All [orginal query]>>Non-Genomics Precision Health[Category]
Publication
Translational AI and Deep Learning in Diagnostic Pathology.
Serag Ahmed et al. Frontiers in medicine 2019 6185
Detecting the impact of subject characteristics on machine learning-based diagnostic applications.
Chaibub Neto Elias et al. NPJ digital medicine 2019 299
Evaluation of Altered Functional Connections in Male Children With Autism Spectrum Disorders on Multiple-Site Data Optimized With Machine Learning.
Spera Giovanna et al. Frontiers in psychiatry 2019 10620
On the Potential, Feasibility, and Effectiveness of Chat Bots in Public Health Research Going Forward.
Mierzwa Stanley et al. Online journal of public health informatics 2019 11(2) e4
Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data.
Deelder Wouter et al. Frontiers in genetics 2019 10922
Deep Learning: A Review for the Radiation Oncologist.
Boldrini Luca et al. Frontiers in oncology 2019 9977
Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.
Gerl Mathias J et al. PLoS biology 2019 Oct 17(10) e3000443
Predicting post-stroke pneumonia using deep neural network approaches.
Ge Yanqiu et al. International journal of medical informatics 2019 Oct 132103986
Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things.
M Bublitz Frederico et al. International journal of environmental research and public health 2019 Oct 16(20)
A comparative study of machine learning classifiers for risk prediction of asthma disease.
Ullah Rahat et al. Photodiagnosis and photodynamic therapy 2019 Oct
Development and validation of an algorithm to assess risk of first-time falling among home care clients.
Kuspinar Ayse et al. BMC geriatrics 2019 Oct 19(1) 264
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
Hong Na et al. Journal of biomedical informatics 2019 Oct 99103310
Challenges to Transforming Unconventional Social Media Data into Actionable Knowledge for Public Health Systems During Disasters.
Chan Jennifer L et al. Disaster medicine and public health preparedness 2019 Oct 1-8
MR-Forest: A Deep Decision Framework for False Positive Reduction in Pulmonary Nodule Detection.
Zhu Hongbo et al. IEEE journal of biomedical and health informatics 2019 Oct
The Role of the Sharing Economy and Artificial Intelligence in Health Care: Opportunities and Challenges.
Wu Huailiang et al. Journal of medical Internet research 2019 Oct 21(10) e13469
Identifying tuberculous pleural effusion using artificial intelligence machine learning algorithms.
Ren Zenghua et al. Respiratory research 2019 Oct 20(1) 220
Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.
Kim Heejung et al. JMIR mHealth and uHealth 2019 Oct 7(10) e14149
Systems biology and big data in asthma and allergy - recent discoveries and emerging challenges.
Tang Howard H F et al. The European respiratory journal 2019 Oct
Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method.
Gupta Alind et al. Medical decision making : an international journal of the Society for Medical Decision Making 2019 Oct 272989X19879095
Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.
Rodríguez-Rodríguez Ignacio et al. Sensors (Basel, Switzerland) 2019 Oct 19(20)
Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study.
Ye Tiantian et al. Journal of medical Internet research 2019 Oct 21(10) e14316
Trajectory analysis for postoperative pain using electronic health records: A nonparametric method with robust linear regression and K-medians cluster analysis.
Weng Yingjie et al. Health informatics journal 2019 Oct 1460458219881339
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.
Dalal Vipin et al. Cancer letters 2019 Oct
Data Science for Extubation Prediction and Value of Information in Surgical Intensive Care Unit.
Tsai Tsung-Lun et al. Journal of clinical medicine 2019 Oct 8(10)
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.
Qin Zhi Zhen et al. Scientific reports 2019 Oct 9(1) 15000
Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.
Narayana Ponnada A et al. Journal of magnetic resonance imaging : JMRI 2019 Oct
A Resource-Optimized VLSI Implementation of a Patient-Specific Seizure Detection Algorithm on a Custom-Made [Formula: see text] Wireless Device for Ambulatory Epilepsy Diagnostics.
Zhan Tianyu et al. IEEE transactions on biomedical circuits and systems 2019 Oct
Using Web-Based Pin-Drop Maps to Capture Activity Spaces Among Young Adults Who Use Drugs in Rural Areas: Cross-Sectional Survey.
Cooper Hannah Luke Fenimore et al. JMIR public health and surveillance 2019 Oct 5(4) e13593
Cooperating on Data: The Missing Element in Bringing Real Innovation to Europe's Healthcare Systems.
Horgan Denis et al. Public health genomics 2019 Oct 1-25
Clinical applications of artificial intelligence in sepsis: A narrative review.
Schinkel M et al. Computers in biology and medicine 2019 Oct 115103488
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.
Clèrigues Albert et al. Computers in biology and medicine 2019 Oct 115103487
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation.
Lehman Constance D et al. Radiology 2019 290(1) 52-58
Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.
Tschandl Philipp et al. JAMA dermatology 2019 155(1) 58-65
Prediction of Atypical Ductal Hyperplasia Upgrades Through a Machine Learning Approach to Reduce Unnecessary Surgical Excisions.
Harrington Lia et al. JCO clinical cancer informatics 2018 21-11
Predicting Emergency Visits and Hospital Admissions During Radiation and Chemoradiation: An Internally Validated Pretreatment Machine Learning Algorithm.
Hong Julian C et al. JCO clinical cancer informatics 2018 21-11
Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study.
Biccler Jorne L et al. JCO clinical cancer informatics 2018 21-13
Hospitalizations due to exacerbations of COPD: A big data perspective.
Serra-Picamal Xavier et al. Respiratory medicine 2018 145219-225
Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration.
Burlina Philippe M et al. JAMA ophthalmology 2018 136(12) 1359-1366
Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram.
Ricard Benjamin J et al. Journal of medical Internet research 2018 20(12) e11817
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks.
Takiyama Hirotoshi et al. Scientific reports 2018 8(1) 7497
Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study.
Lutz Wolfgang et al. Scientific reports 2018 8(1) 7819
Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.
Fernandes Andrea C et al. Scientific reports 2018 8(1) 7426
A review of Big Data analytics and potential for implementation in the delivery of global neurosurgery.
West James L et al. Neurosurgical focus 2018 45(4) E16
Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT.
Chang P D et al. AJNR. American journal of neuroradiology 2018 39(9) 1609-1616
A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.
Lee Scott H et al. PloS one 2019 14(9) e0222907
Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records.
Hsueh Pei-Yun S et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2018 2018592-601
Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy.
Varatharajah Yogatheesan et al. Journal of neural engineering 2018 15(4) 046035
There Is a Significant Discrepancy Between "Big Data" Database and Original Research Publications on Hip Arthroscopy Outcomes: A Systematic Review.
Sochacki Kyle R et al. Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association 2018 34(6) 1998-2004
An Approach Towards Reducing Road Traffic Injuries and Improving Public Health Through Big Data Telematics: A Randomised Controlled Trial Protocol.
Azmin Mehrdad et al. Archives of Iranian medicine 2018 21(11) 495-501
Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging.
Dilsizian Matthew E et al. Current cardiology reports 2018 20(12) 139
Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.
Chung Yoonho et al. JAMA psychiatry 2018 75(9) 960-968
Artificial intelligence aims to improve cancer screenings in Kenya.
Wetsman Nicole, et al. Nature medicine 2019 10 0.
Mapping 123 million neonatal, infant and child deaths between 2000 and 2017.
Burstein Roy, et al. Nature 2019 10 0. (7778) 353-358
'Six million lives could be saved by 2030' through data science,
by Gilbert Nakweya, Sci Dev Net, October 10, 2019
A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer.
Nasief Haidy et al. NPJ precision oncology 2019 325
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry.
Tai Andy M Y et al. Artificial intelligence in medicine 2019 Aug 99101704
Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by age.
Miyagi Yasunari et al. Reproductive medicine and biology 2019 Oct 18(4) 344-356
Predicting translational progress in biomedical research.
Hutchins B Ian et al. PLoS biology 2019 Oct 17(10) e3000416
Applications of artificial intelligence in neuro-oncology.
Aneja Sanjay et al. Current opinion in neurology 2019 Oct
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results.
Parekh Vishwa S et al. Medical physics 2019 Oct
Designing precision medicine trials to yield greater population impact.
Zhao Ying-Qi et al. Biometrics 2019 Oct
An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders.
Álvarez Josefa Díaz et al. BMC bioinformatics 2019 Oct 20(1) 491
The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial.
Wijnberge M et al. Trials 2019 Oct 20(1) 582
Automated polyp segmentation for colonoscopy images：a method based on convolutional neural networks and ensemble learning.
Xudong Guo et al. Medical physics 2019 Oct
Machine Learning Prediction of Mortality and Hospitalization in Heart Failure with Preserved Ejection Fraction.
Angraal Suveen et al. JACC. Heart failure 2019 Oct
Forecasting incidence of hand, foot and mouth disease using BP neural networks in Jiangsu province, China.
Liu Wendong et al. BMC infectious diseases 2019 Oct 19(1) 828
Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
Currie Geoff et al. Journal of medical imaging and radiation sciences 2019 Oct
Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook.
Birnbaum M L et al. NPJ schizophrenia 2019 Oct 5(1) 17
Machine learning in cardiovascular magnetic resonance: basic concepts and applications.
Leiner Tim et al. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 2019 Oct 21(1) 61
Observer-independent assessment of psoriasis affected area using machine learning.
Meienberger N et al. Journal of the European Academy of Dermatology and Venereology : JEADV 2019 Oct
Social Media as an Emerging Data Resource for Epidemiologic Research: Characteristics of Social Media Users and Non-users in the Nurses' Health Study II.
Kim Eric S et al. American journal of epidemiology 2019 Oct
Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology.
Thomford Nicholas Ekow et al. Omics : a journal of integrative biology 2019 Oct
A dual-modal attention-enhanced deep learning network for quantification of Parkinson's disease characteristics.
Xia Yi et al. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 2019 Oct
Ovarian Toxicity Assessment in Histopathological Images Using Deep Learning.
Hu Fangyao et al. Toxicologic pathology 2019 Oct 192623319877871
ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.
Zampieri Fernando G et al. Intensive care medicine 2019 Oct
Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.
Schelb Patrick et al. Radiology 2019 Oct 190938
Evaluation of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Vasculature.
Lang Stefan et al. Clinical neuroradiology 2019 Oct
MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI.
Aggarwal Hemant K et al. IEEE transactions on medical imaging 2019 Oct
Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics.
Thirukumaran Caroline P et al. The Journal of bone and joint surgery. American volume 2019 Oct
Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models.
Ebrahimi Mansour et al. Computers in biology and medicine 2019 Sep 114103456
Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.
Greenbaum Nathaniel R et al. International journal of medical informatics 2019 Sep 132103981
Technology approaches to digital health literacy.
Dunn Patrick et al. International journal of cardiology 2019 Oct 293294-296
The promise and peril of AI
The Economist, October 10, 2019
Machine Learning Goes Mainstream: PLOS Medicine 15th Anniversary
PLOS Blogs, October 8, 2019
A Theoretical Framework for Clinical Implementation of Social Determinants of Health.
Hammond Gmerice et al. JAMA cardiology 2019 Oct
Harnessing data and technology for public health: five challenges
Medical device surveillance with electronic health records.
Callahan Alison et al. NPJ digital medicine 2019 294
Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait.
Farran Bassam et al. Frontiers in endocrinology 2019 10624
Differentiating Noninvasive Follicular Thyroid Neoplasm with Papillary-Like Nuclear Features from Classic Papillary Thyroid Carcinoma: Analysis of Cytomorphologic Descriptions Using a Novel Machine-Learning Approach.
Maleki Sara et al. Journal of pathology informatics 2019 1029
Towards scaling Twitter for digital epidemiology of birth defects.
Klein Ari Z et al. NPJ digital medicine 2019 296
KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.
Gruendner Julian et al. PloS one 2019 14(10) e0223010
Can machine learning improve patient selection for cardiac resynchronization therapy?
Hu Szu-Yeu et al. PloS one 2019 14(10) e0222397
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Geis J Raymond et al. Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes 2019 Oct
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement.
Geis J Raymond et al. Insights into imaging 2019 Oct 10(1) 101
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Geis J Raymond et al. Radiology 2019 191586
Insights into Amyotrophic Lateral Sclerosis from a Machine Learning Perspective.
Gordon Jonathan et al. Journal of clinical medicine 2019 Oct 8(10)
Use of Patient-Reported Data to Match Depression Screening Intervals With Depression Risk Profiles in Primary Care Patients With Diabetes: Development and Validation of Prediction Models for Major Depression.
Jin Haomiao et al. JMIR formative research 2019 Oct 3(4) e13610
Machine Learning in Epidemiology and Health Outcomes Research.
Wiemken Timothy L et al. Annual review of public health 2019 Oct
Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.
Hunter-Zinck Haley S et al. Journal of the American Medical Informatics Association : JAMIA 2019 Oct
Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework.
Sarker Abeed et al. Journal of the American Medical Informatics Association : JAMIA 2019 Oct
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