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Genomics and Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB
Last data update: Oct 31, 2020. (Total: 36526 Documents since 2012)
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Records 1-30 (of 5907 Record(s))
Query Trace: All [original query]>>Non-Genomics Precision Health[Category]
Publication
Predicting COVID-19 Severity with a Specific Nucleocapsid Antibody plus Disease Risk Factor Score
S Sen et al, BIORXIV, October 29, 2020
Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
A Norbury et al, MEDRXIV, October 30, 2020
A Machine Learning Study of 534,023 Medicare Beneficiaries with COVID-19: Implications for Personalized Risk Prediction
C Dun et al, MEDRXIV, October 30, 2020
Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas.
Bomfim Rafael et al. Journal of the Royal Society, Interface 2020 Oct 17(171) 20200691
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.
Burdick Hoyt et al. BMC medical informatics and decision making 2020 Oct 20(1) 276
Predicting population health with machine learning: a scoping review.
Morgenstern Jason Denzil et al. BMJ open 2020 Oct 10(10) e037860
Telemedicine in the ICU: Innovation in the Critical Care Process.
Khurrum Muhammad et al. Journal of intensive care medicine 2020 Oct 885066620968518
The emerging role of artificial intelligence in multiple sclerosis imaging.
Afzal H M Rehan et al. Multiple sclerosis (Houndmills, Basingstoke, England) 2020 Oct 1352458520966298
Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach.
Bremer Vincent et al. Journal of medical Internet research 2020 Oct 22(10) e17738
Prediction of hyperaldosteronism subtypes when adrenal vein sampling is unilaterally successful.
Burrello Jacopo et al. European journal of endocrinology 2020 Dec 183(6) 657-667
Using Machine Learning to Predict Suicide Attempts in Military Personnel.
Rozek David C et al. Psychiatry research 2020 Oct 294113515
Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learning.
Chakraborty Madhumita et al. The Science of the total environment 2020 Dec 748141107
Data Configuration and Publication Trends for the Korean National Health Insurance and Health Insurance Review & Assessment Database.
Kim Hae Kyung et al. Diabetes & metabolism journal 2020 Oct 44(5) 671-678
BIG DATA … small story.
Choi Bernard C K et al. Journal of epidemiology and community health 2020 Oct
The Increasing Role of Artificial Intelligence in Health Care: Will Robots Replace Doctors in the Future?
Shuaib Abdullah et al. International journal of general medicine 2020 13891-896
Impact of the Transition from ICD-9-CM to ICD-10-CM on the Identification of Pregnancy Episodes in US Health Insurance Claims Data.
Sarayani Amir et al. Clinical epidemiology 2020 121129-1138
Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.
Mursch-Edlmayr Anna S et al. Translational vision science & technology 2020 Oct 9(2) 55
A Preliminary Study for Distinguish Hormone-Secreting Functional Adrenocortical Adenoma Subtypes Using Multiparametric CT Radiomics-Based Machine Learning Model and Nomogram.
Zheng Yineng et al. Frontiers in oncology 2020 10570502
Deep Learning Improves Osteonecrosis Prediction of Femoral Head After Internal Fixation Using Hybrid Patient and Radiograph Variables.
Zhu Wanbo et al. Frontiers in medicine 2020 7573522
Deep learning model for prediction of hepatocellular carcinoma in patients with HBV-related cirrhosis on antiviral therapy.
Nam Joon Yeul et al. JHEP reports : innovation in hepatology 2020 Dec 2(6) 100175
Application of Artificial Intelligence in Dentistry.
Shan T et al. Journal of dental research 2020 Oct 22034520969115
Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study.
Choo Hyunwoo et al. Journal of medical Internet research 2020 Oct 22(10) e21369
Predictive Models for Neonatal Follow-Up Serum Bilirubin: Model Development and Validation.
Chou Joseph H et al. JMIR medical informatics 2020 Oct 8(10) e21222
Automatic recognition of bladder tumors using deep learning technology and its clinical application.
Yang Rui et al. The international journal of medical robotics + computer assisted surgery : MRCAS 2020 Oct e2194
The intersection of genomics and big data with public health: Opportunities for precision public health.
Khoury Muin J et al. PLoS medicine 2020 Oct 17(10) e1003373
Deep Learning Based Radiomics Predicts Response to Chemotherapy in Colorectal Liver Metastases.
Wei Jingwei et al. Medical physics 2020 Oct
Classification of renal tumour using convolutional neural networks to detect oncocytoma.
Pedersen Mikkel et al. European journal of radiology 2020 Oct 133109343
A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors.
Xie Jiang et al. Physics in medicine and biology 2020 Oct
Wearable sensor data and self-reported symptoms for COVID-19 detection
G Quer et al, Nature Medicine, October 29, 2020
What defines an efficacious COVID-19 vaccine? A review of the challenges assessing the clinical efficacy of vaccines against SARS-CoV-2
SH Hodgson et al, Lancet Infectious Diseases, October 27, 2020
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