Advertisement

Topics

Data integration strategies for predictive analytics in precision medicine.

08:00 EDT 2nd November 2018 | BioPortfolio

Summary of "Data integration strategies for predictive analytics in precision medicine."

With the rapid growth of health-related data including genomic, proteomic, imaging and clinical, the arduous task of data integration can be overwhelmed by the complexity of the environment including data size and diversity. This report examines the role of data integration strategies for big data predictive analytics in precision medicine research. Infrastructure-as-code methodologies will be discussed as a means of integrating and managing data. This includes a discussion on how and when these strategies can be used to lower barriers and address issues of consistency and interoperability within medical research environments. The goal is to support translational research and enable healthcare organizations to integrate and utilize infrastructure to accelerate the adoption of precision medicine.

Affiliation

Journal Details

This article was published in the following journal.

Name: Personalized medicine
ISSN: 1741-0541
Pages:

Links

DeepDyve research library

PubMed Articles [28857 Associated PubMed Articles listed on BioPortfolio]

A crossroads in predictive analytics monitoring for clinical medicine.

A new goal for medical informatics is to develop robust tools that integrate clinical data on a patient in order to estimate the risk of imminent adverse events. This new field of predictive analytics...

Data Integration for Future Medicine (DIFUTURE).

This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Future medicine will be predictive, preventive, personalized, participatory ...

An infrastructure for precision medicine through analysis of big data.

Nowadays, the increasing availability of omics data, due to both the advancements in the acquisition of molecular biology results and in systems biology simulation technologies, provides the bases for...

Big data in IBD: a look into the future.

Big data methodologies, made possible with the increasing generation and availability of digital data and enhanced analytical capabilities, have produced new insights to improve outcomes in many disci...

Should Electronic Health Record-Derived Social and Behavioral Data Be Used in Precision Medicine Research?

Precision medicine research initiatives aim to use participants' electronic health records (EHRs) to obtain rich longitudinal data for large-scale precision medicine studies. Although EHRs vary widely...

Clinical Trials [7063 Associated Clinical Trials listed on BioPortfolio]

Survey on Precision Medicine and Digital Health

The investigators would like to create an online survey that queries current topics in precision medicine.

DCM Precision Medicine Study

The study aim of the DCM Precision Medicine Study is to test the hypothesis that DCM has a substantial genetic basis and to evaluate the effectiveness of a family communication interventio...

A Feasibility Study to Further the Development of Lung Cancer-based Precision Medicine

The purpose of this study is to further advancements in biospecimens (blood cellular free component, e.g., plasma, serum, tissue), in order to develop precision medicine, for lung cancer m...

The Comparative Effectiveness Dementia & Alzheimer's Registry

To evaluate the effectiveness of using clinical precision medicine to develop lifecourse interventions for Alzheimer's disease (AD) prevention and treatment. Anthropometrics, blood biomark...

MYnd Analytics Directed Therapy in Depression

The MYnd Analytics PEER Online strategy utilizes EEG diagnostics to direct patients with psychiatric illnesses to the best medication treatments. This trial will evaluate patients with a d...

Medical and Biotech [MESH] Definitions

In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.

A way of providing emergency medical care that is guided by a thoughtful integration of the best available scientific knowledge with clinical expertise in EMERGENCY MEDICINE. This approach allows the practitioner to critically assess research data, clinical guidelines, and other information resources in order to correctly identify the clinical problem, apply the most high-quality intervention, and re-evaluate the outcome for future improvement.

A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.

A measure of scientific precision, exactness, or correctness of quantitative or qualitative values, relative to the actual or true measurements.

Insertion of viral DNA into host-cell DNA. This includes integration of phage DNA into bacterial DNA; (LYSOGENY); to form a PROPHAGE or integration of retroviral DNA into cellular DNA to form a PROVIRUS.

Advertisement
Quick Search
Advertisement
Advertisement

 


DeepDyve research library

Searches Linking to this Article