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Genomics and Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB
Last data update: Aug 20, 2019. (Total: 24763 Documents since 2012)
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Query Trace: All [orginal query]>>Non-Genomics Precision Health[Category]
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Putting the data before the algorithm in big data addressing personalized healthcare
EM Cahan et al, NPJ Digital Medicine, August 19, 2019
Human Behaviour Change Project
Human Behaviour Change Project, 2019
Do no harm: a roadmap for responsible machine learning for health care
J Wiens et al, Nature Medicine, August 19, 2019
Practical guidance on artificial intelligence for health-care data
M Ghassemi et al, Lancet Digital Health
All Your Data Is Health Data- And Big Tech has it all.
C Warzel, NY Times, August 13, 2019
Practical guidance on artificial intelligence for health-care data
Lancet Digital Health, August 2019
A.I. Is Learning From Humans. Many Humans.
C Metz, NY Times, August 16, 2019
The “inconvenient truth” about AI in healthcare
T Panch et al, NPJ Digital Medicine, August 16, 2019
Personalized Prediction of Glaucoma Progression Under Different Target Intraocular Pressure Levels Using Filtered Forecasting Methods.
Kazemian Pooyan et al. Ophthalmology 2018 125(4) 569-577
Sampling and Sampling Frames in Big Data Epidemiology.
Mooney Stephen J et al. Current epidemiology reports 2019 Mar 6(1) 14-22
Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.
Donald Rob et al. Journal of clinical monitoring and computing 2019 Feb 33(1) 39-51
The Needs and Benefits of Continuous Model Updates on the Accuracy of RT-Induced Toxicity Prediction Models Within a Learning Health System.
Nakatsugawa Minoru et al. International journal of radiation oncology, biology, physics 2019 103(2) 460-467
Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.
Schlegl Thomas et al. Ophthalmology 2018 125(4) 549-558
Clinical practice, deliberate practice, and "big data".
Norman Geoff et al. Advances in health sciences education : theory and practice 2018 Dec 23(5) 863-866
Learning from Ambiguously Labeled Face Images.
Chen Ching-Hui et al. IEEE transactions on pattern analysis and machine intelligence 2018 40(7) 1653-1667
Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi, China.
Wang G et al. Epidemiology and infection 2019 Jan 147e194
Natural Language Processing for EHR-Based Computational Phenotyping.
Zeng Zexian et al. IEEE/ACM transactions on computational biology and bioinformatics 16(1) 139-153
Semiautomatic Segmentation of Glioma on Mobile Devices.
Wu Ya-Ping et al. Journal of healthcare engineering 2017 20178054939
Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques.
Balan Oana et al. Sensors (Basel, Switzerland) 2019 Apr 19(7)
The Ethics in Synthetics: Statistics in the Service of Ethics and Law in Health-Related Research in Big Data from Multiple Sources.
Bassan Sharon et al. Journal of law and health 2018 31(1) 87-117
Precision Medicine in Asthma: Integrating Imaging and Inflammatory Biomarkers.
Thien Francis et al. American journal of respiratory and critical care medicine 2018 197(7) 845-846
Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis.
Bremer Vincent et al. Journal of medical Internet research 2018 20(8) e10275
Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.
De Looze C?line et al. Journal of neuro-oncology 2018 Sep 139(2) 491-499
Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.
Singh Noor Pratap et al. Computers in biology and medicine 2018 10092-99
A computational framework for complex disease stratification from multiple large-scale datasets.
De Meulder Bertrand et al. BMC systems biology 2018 12(1) 60
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies.
Ehteshami Bejnordi Babak et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2018 31(10) 1502-1512
Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification.
Buccino Alessio P et al. Journal of neurophysiology 2018 120(3) 1212-1232
Identification of Subclinical Language Deficit Using Machine Learning Classification Based on Poststroke Functional Connectivity Derived from Low Frequency Oscillations.
Mohanty Rosaleena et al. Brain connectivity 2019 9(2) 194-208
Spontaneous remission of residual post-therapy plasma Epstein-Barr virus DNA and its prognostic implication in nasopharyngeal carcinoma: A large-scale, big-data intelligence platform-based analysis.
Zhang Yuan et al. International journal of cancer 2019 144(9) 2313-2319
Feature Extraction Based Machine Learning for Human Burn Diagnosis From Burn Images.
Yadav D P et al. IEEE journal of translational engineering in health and medicine 2019 71800507
State-of-the-Art Deep Learning in Cardiovascular Image Analysis.
Litjens Geert et al. JACC. Cardiovascular imaging 2019 Aug 12(8 Pt 1) 1549-1565
Datafication and accountability in public health: Introduction to a special issue.
Hoeyer Klaus et al. Social studies of science 2019 Aug 49(4) 459-475
Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI.
Le Berre Alice et al. Neuroradiology 2019 Aug
Intelligent Imaging: Artificial Intelligence Augmented Nuclear Medicine.
Currie Geoffrey M et al. Journal of nuclear medicine technology 2019 Aug
Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning.
Zhang M et al. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2019 Aug
IoT Solution for Smart Cities' Pollution Monitoring and the Security Challenges.
Toma Cristian et al. Sensors (Basel, Switzerland) 2019 Aug 19(15)
Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient's Return to the Clinic.
Madrid-García Alfredo et al. Journal of clinical medicine 2019 Aug 8(8)
Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions Through Adverse Event Reports.
Liu Ning et al. IEEE journal of biomedical and health informatics 2019 Aug
Artificial Intelligence for Drug Toxicity and Safety.
Basile Anna O et al. Trends in pharmacological sciences 2019 Aug
Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.
Mercan Ezgi et al. JAMA network open 2019 Aug 2(8) e198777
Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device.
Chiang Pei-Yu et al. Sensors (Basel, Switzerland) 2019 Aug 19(15)
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.
Giannini Heather M et al. Critical care medicine 2019 Aug
Digital Health Sensing for Personalized Dermatology.
Spinazze Pier et al. Sensors (Basel, Switzerland) 2019 Aug 19(15)
Machine learning in clinical practice: prospects and pitfalls.
Scott Ian A et al. The Medical journal of Australia 2019 Aug
Challenges and future of precision medicine strategies for breast cancer based on a database on drug reactions.
Zhang Xiping et al. Bioscience reports 2019 Aug
The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review.
Hung Kuofeng et al. Dento maxillo facial radiology 2019 Aug 20190107
Medical knowledge infused convolutional neural networks for cohort selection in clinical trials.
Chen Chi-Jen et al. Journal of the American Medical Informatics Association : JAMIA 2019 Aug
Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis.
Rezaallah Bita et al. Journal of medical Internet research 2019 Aug 21(8) e13003
Machine learning applications in prostate cancer magnetic resonance imaging.
Cuocolo Renato et al. European radiology experimental 2019 Aug 3(1) 35
Health Data in Dentistry: An Attempt to Master the Digital Challenge.
Joda Tim et al. Public health genomics 2019 Aug 1-7
Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.
Tsuboi Akiyoshi et al. Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society 2019 Aug
Cytokeratin-supervised deep learning for automatic recognition of epithelial cells in breast cancers stained for ER, PR, and Ki-67.
Valkonen Mira et al. IEEE transactions on medical imaging 2019 Aug
Artificial intelligence could bring relevant guidelines into every consultation.
Manning Christopher L et al. BMJ (Clinical research ed.) 2019 366l4788
Next-generation imaging of the skeletal system and its blood supply.
Grüneboom Anika et al. Nature reviews. Rheumatology 2019 Aug
Deep neural networks are superior to dermatologists in melanoma image classification.
Brinker Titus J et al. European journal of cancer (Oxford, England : 1990) 2019 Aug 11911-17
Prediction of hERG K+ Channel Blockage Using Deep Neural Networks.
Zhang Yanmin et al. Chemical biology & drug design 2019 Aug
Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation.
Wei Wenchuan et al. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 2019 Aug
Prediction of melanoma evolution in melanocytic nevi via artificial intelligence: A call for prospective data.
Sondermann Wiebke et al. European journal of cancer (Oxford, England : 1990) 2019 Aug 11930-34
Cross-Registry Neural Domain Adaptation to Extract Mutational Test Results from Pathology Reports.
Rios Anthony et al. Journal of biomedical informatics 2019 Aug 103267
Early temporal characteristics of elderly patient cognitive impairment in electronic health records.
Goudarzvand Somaieh et al. BMC medical informatics and decision making 2019 Aug 19(Suppl 4) 149
Hyper-G: An Artificial Intelligence Tool for Optimal Decision-Making and Management of Blood Glucose Levels in Surgery Patients.
Nair Akira A et al. Methods of information in medicine 2019 Aug
Machine learning-based prediction of breast cancer growth rate in vivo.
Bhattarai Shristi et al. British journal of cancer 2019 Aug
Use of deep learning to detect personalized spatial-frequency anomalies in EEGs of children with ADHD.
Chen He et al. Journal of neural engineering 2019 Aug
Spotlight Commentary: Model-informed precision dosing must demonstrate improved patient outcomes.
Wright Daniel F B et al. British journal of clinical pharmacology 2019 Aug
Mining Prognosis Index of Brain Metastases Using Artificial Intelligence.
Huang Shigao et al. Cancers 2019 Aug 11(8)
Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status.
Lee Mary R et al. EClinicalMedicine 2019 Jul 1270-78
Predicting death by suicide using administrative health care system data: Can feedforward neural network models improve upon logistic regression models?
Sanderson Michael et al. Journal of affective disorders 2019 Jul 257741-747
[Application of recurrent neural network in prognosis of peritoneal dialysis].
Tang W et al. Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences 2019 Jun 51(3) 602-608
How Big Data Science Can Improve Linkage and Retention in Care.
Rana Aadia I et al. Infectious disease clinics of North America 2019 Sep 33(3) 807-815
Biobanking Is Changing The World
J Pandya, Forbes, August 12, 2019
An Artificial Intelligence Tool to Improve Pancreatic Cancer Outcomes
S Rosen, Mato Clinic blog, August 13, 2019
Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.
Bera Kaustav et al. Nature reviews. Clinical oncology 2019 Aug
Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions
E Merkan et al, JAMA Network Open, August 9,2109
Big Data, Big Tech, and Protecting Patient Privacy
IG Cohen et al, JAMA, August 9, 2019
Digital literacy—a blind spot in medical education?
Z Hassan, BMJ, August 8 2019
Making Machine Learning Models Clinically Useful.
Shah Nigam H et al. JAMA 2019 Aug
Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription.
Yang Shilun et al. BioMed research international 2019 20196847685
Classification and Assessment of the Patelar Reflex Response through Biomechanical Measures.
Salazar-Muñoz Yolocuauhtli et al. Journal of healthcare engineering 2019 20191614963
A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures.
Grassi Massimiliano et al. Frontiers in neurology 2019 10756
18 F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia.
Li Hebei et al. Theranostics 2019 9(16) 4730-4739
Deep learning detects impending organ injury in the clinic.
Topol Eric J et al. Nature 2019 Aug 572(7767) 36-37
Machine-learned modeling of PM 2.5 exposures in rural Lao PDR.
Hill L D et al. The Science of the total environment 2019 Aug 676811-822
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
Attia Zachi I et al. Lancet (London, England) 2019 Aug
Automatic detection of eating disorder-related social media posts that could benefit from a mental health intervention.
Yan Hao et al. The International journal of eating disorders 2019 Aug
Kankanet: An artificial neural network-based object detection smartphone application and mobile microscope as a point-of-care diagnostic aid for soil-transmitted helminthiases.
Yang Ariel et al. PLoS neglected tropical diseases 2019 Aug 13(8) e0007577
Unlocking the potential of population-based cancer registries.
Tucker Thomas C et al. Cancer 2019 Aug
Classification of radiographic lung pattern based on texture analysis and machine learning.
Yoon Youngmin et al. Journal of veterinary science 2019 Jul 20(4) e44
Evaluation of Early Gadolinium Enhancement (EGE) and Cardiac Functional Parameters in Cine-Magnetic Resonance Imaging (MRI) on Artificial Intelligence in Patients with Acute Myocarditis: A Case-Controlled Observational Study.
Yuan Wei-Feng et al. Medical science monitor : international medical journal of experimental and clinical research 2019 Jul 255493-5500
Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation.
Park S et al. Diagnostic and interventional imaging 2019 Jul
Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiography.
Chiarelli Antonio M et al. Medical engineering & physics 2019 Jul
Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea.
Lim Chris C et al. Environment international 2019 Jul 131105022
Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants.
Hansen William B et al. JMIR mHealth and uHealth 2019 Jul 7(7) e14655
The Current Research Landscape of the Application of Artificial Intelligence in Managing Cerebrovascular and Heart Diseases: A Bibliometric and Content Analysis.
Tran Bach Xuan et al. International journal of environmental research and public health 2019 Jul 16(15)
Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining.
Vougas Konstantinos et al. Pharmacology & therapeutics 2019 Jul 107395
Assessing Physical Activities Occurring on Sidewalks and Streets: Protocol for a Cross-Sectional Study.
Suminski Richard Robert et al. JMIR research protocols 2019 Jul 8(7) e12976
Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise.
Feldman Joshua et al. Journal of the American Medical Informatics Association : JAMIA 2019 Jul
Advanced X-ray CT scanning can boost tree-ring research for earth-system sciences.
Bulcke Jan Van den et al. Annals of botany 2019 Jul
Performance of A Convolutional Neural Network in Screening Liquid Based Cervical Cytology Smears.
Sanyal Parikshit et al. Journal of cytology 36(3) 146-151
Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.
Kocak Burak et al. European radiology 2019 Jun 29(6) 2731-2739
Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data.
Zewdie Gebreab K et al. Environmental monitoring and assessment 2019 Jun 191(7) 418
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