about
Utilizing an integrated infrastructure for outcomes research: a systematic review.Big data in oncologic imaging.Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases.-Omic and Electronic Health Record Big Data Analytics for Precision Medicine.Clinical epidemiology in the era of big data: new opportunities, familiar challenges.Personal Health Records: A Systematic Literature Review.Validation of a portable, deployable system for continuous vital sign monitoring using a multiparametric wearable sensor and personalised analytics in an Ebola treatment centreTranslating Big Data into Smart Data for Veterinary Epidemiology.Metabolomics and Integrative Omics for the Development of Thai Traditional Medicine.Optimizing drug development in oncology by clinical trial simulation: Why and how?Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill.Precision medicine for psychopharmacology: a general introduction.Mining the fecal proteome: from biomarkers to personalised medicine.Fast algorithm for scaling analysis with higher-order detrending moving average method.An Algorithm for Creating Prognostic Systems for Cancer.Invited Commentary on Stewart and Davis " 'Big data' in mental health research-current status and emerging possibilities".The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges.Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon.Pathology, proteomics and the pathway to personalised medicine.Recent insights into human bronchial proteomics - how are we progressing and what is next?A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.Advanced bioanalytics for precision medicine.Advancing Alzheimer's research: A review of big data promises.Mortality, morbidity and health in developed societies: a review of data sources.A Text Structuring Method for Chinese Medical Text Based on Temporal Information.Big Data's Role in Precision Public Health.Integrating electronic healthcare records of armed forces personnel: Developing a framework for evaluating health outcomes in England, Scotland and Wales.A pilot and comparative study between pathological and serological levels of immunoglobulin and complement among three kinds of primary glomerulonephritis.A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining.Data to diagnosis in global health: a 3P approachHARNESSING SOCIAL MEDIA FOR HEALTH INFORMATION MANAGEMENTUpregulation of BUB1B, CCNB1, CDC7, CDC20, and MCM3 in Tumor Tissues Predicted Worse Overall Survival and Disease-Free Survival in Hepatocellular Carcinoma PatientsAn infrastructure for precision medicine through analysis of big data
P2860
Q30382199-DA974E3F-FD69-49C2-ABE0-B7C48F268E37Q30392799-D5BE1453-7AD5-4890-AB0B-A92DED45F5F5Q31116335-BCC2990E-EB1D-41B5-97AD-450409DAD0DDQ31136593-4375D6BA-703E-4623-B32C-737E6E30E8C5Q33627674-BBB206D0-4FC5-4034-8ED3-127867D47C52Q37596998-480FE493-AE05-4B99-9459-90423C5FFD6BQ37659642-22ECDCFA-583C-49F5-AF90-EF28169A2418Q38645346-57FDB58B-EA94-44F8-A096-367CFFE0C15DQ38645656-1C2CF6F2-7E82-45BE-A25D-13B6007E8983Q38675644-1F30D468-969C-4A27-80AE-E39A31052746Q38769375-A4FC8141-41DF-4656-80D3-868C2EBA1800Q38814860-ED045FA7-8BD2-4D36-AE72-FFC14192BD70Q38865393-409CAD23-353C-47DC-B50A-0600F8870C0AQ39684140-24ADB118-9EB2-4E7A-968C-48415A3C17BDQ39758650-058AEB1E-382A-4B4C-9B9F-5CDDDD080C8AQ44970808-9383E81C-6C40-4A9E-B643-9BC0191C8EBDQ46248728-DC8FAA4F-4227-451F-AD44-82796048FC1AQ47124711-F2C263FD-0B29-46B6-8783-9CE8134B6F4EQ47196503-AA06C8EC-D130-4CE4-AC77-EA4293A0E507Q47271963-EAF9683C-2F41-44F0-8E7E-2E03C4F83BFFQ47443804-C29BFA44-0A31-4A13-99F5-DC646E557804Q47656712-24DBF03F-4103-4DBA-8CD0-EB64F0AE77F1Q48036293-476D9C0D-00E1-47A2-8624-4B90533ACEC9Q48109829-3D50FA39-8CCE-47CC-BBA6-87F9C2728314Q52370769-25ECE7D4-5074-47CE-AD6D-279B932B4958Q52624157-55F37AF4-CB71-438E-90C9-9B606490CEFFQ55181328-BE0567EE-B89C-4799-9657-5E92F57DD0D4Q55429351-BA1CF7B1-2A64-4872-A166-35ED4DE09F15Q55431478-888F13A8-E3CB-44E2-A2EE-22DC9DB5C2E5Q57092824-AC970DF8-006B-4629-9E01-BCF48B3A358CQ57133461-7471271D-42EC-45FA-9A1C-3C2F0F48C036Q58603880-99CAC45A-B886-48C0-9425-22AA0FFC9422Q58736625-A258EC4D-A399-4CE1-AF13-11CBCA30C83F
P2860
description
2015 nî lūn-bûn
@nan
2015 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Big data for health.
@ast
Big data for health.
@en
type
label
Big data for health.
@ast
Big data for health.
@en
prefLabel
Big data for health.
@ast
Big data for health.
@en
P2093
P1476
Big data for health.
@en
P2093
Carmen C Y Poon
Guang-Zhong Yang
Javier Andreu-Perez
Robert D Merrifield
Stephen T C Wong
P304
P356
10.1109/JBHI.2015.2450362
P577
2015-07-10T00:00:00Z