Topics

Personalized Swiss Sepsis Study

2019-10-24 12:49:55 | BioPortfolio

Summary

This multi-center study is to focus on patients with sepsis in Intensive Care Units (ICUs) in order to better understand the complex host-pathogen interaction and clinical heterogeneity associated with sepsis. Understanding this heterogeneity may allow the development of novel diagnostic approaches. Data from patients will be analyzed using state-of-the art analytical algorithms for biomarker discovery including machine learning and multidimensional mathematical modelling to explore the large datasets generated. In order to discover digital biomarkers for the study endpoints a case-control study design will be used to compare data patterns from patients with sepsis (cases) and those without sepsis (controls).

Study Design

Conditions

Sepsis

Intervention

compare data patterns by data-driven algorithms to determine sepsis, compare data patterns by data-driven algorithms to predict sepsis-related mortality

Location

Clinical Microbiology, University Hospital Basel
Basel
Switzerland
4031

Status

Not yet recruiting

Source

University Hospital, Basel, Switzerland

Results (where available)

View Results

Links

Published on BioPortfolio: 2019-10-24T12:49:55-0400

Clinical Trials [4082 Associated Clinical Trials listed on BioPortfolio]

Evaluation of the Patient Safety Screening Tool (PSST) for Sepsis

The Patient Safety Screening Tool (PSST) for Sepsis solution is a tool to assist with the early detection of Sepsis and management of the administration of bundle packages as defined by th...

Physician Judgment and Machine Predictions

The study goal is to improve the value of care and reduce health disparities by developing a targeted set of sophisticated and powerful algorithms to improve upon human clinical judgments....

Modeling and Predicting Real World Behavior Using Mobile Sensor Data on Patients With Major Depressive Disorder

The purpose of this study is to validate the effectiveness of using an integrated mobile sensing platform to deliver large-scale data-driven interventions to patients with depression.

An Algorithm Driven Sepsis Prediction Biomarker

A sepsis early warning predictive algorithm, InSight, has been developed and validated on a large, diverse patient cohort. In this prospective study, the ability of InSight to predict seve...

Objective Sepsis Identification Tool to Study Sepsis Epidemiology

Globally, sepsis affects an estimated 31.5 million people and accounts for 5.3 million deaths each year. This calculation is based on data from western high income countries only. The purp...

PubMed Articles [36263 Associated PubMed Articles listed on BioPortfolio]

Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.

Validation of Algorithmic CT Image Quality Metrics with Preferences of Radiologists.

Automated assessment of perceptual image quality on clinical Computed Tomography (CT) data by computer algorithms has the potential to greatly facilitate data-driven monitoring and optimization of CT ...

The role of the season at admission in neonatal sepsis: a retrospective chart review of a 1-year data at University of Gondar comprehensive specialized hospital.

Neonatal sepsis is a global public health concern in general and causes a massive burden in developing countries particularly in sub-Saharan Africa. Though it is mostly preventable, neonatal sepsis re...

A comparison of two algorithms to identify sudden cardiac deaths in computerized databases.

Two previously validated algorithms to identify sudden cardiac death using administrative data showed high positive predictive value. We evaluated the agreement between the algorithms using data from ...

Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms.

Genome-wide association studies (GWASs) are valuable for understanding human biology, but associated loci typically contain multiple associated variants and genes. Thus, algorithms that prioritize lik...

Medical and Biotech [MESH] Definitions

Information application based on a variety of coding methods to minimize the amount of data to be stored, retrieved, or transmitted. Data compression can be applied to various forms of data, such as images and signals. It is used to reduce costs and increase efficiency in the maintenance of large volumes of data.

Various units or machines that operate in combination or in conjunction with a computer but are not physically part of it. Peripheral devices typically display computer data, store data from the computer and return the data to the computer on demand, prepare data for human use, or acquire data from a source and convert it to a form usable by a computer. (Computer Dictionary, 4th ed.)

The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.

Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.

Devices capable of receiving data, retaining data for an indefinite or finite period of time, and supplying data upon demand.

More From BioPortfolio on "Personalized Swiss Sepsis Study"

Quick Search

Relevant Topics

Sepsis, septicaemia and blood poisoning
Septicaemia (another name for blood poisoning) refers to a bacterial infection of the blood, whereas sepsis can also be caused by viral or fungal infections.  Sepsis is not just limited to the blood and can affect the whole body, including the organ...

Infectious-diseases
Antiretroviral Therapy Clostridium Difficile Ebola HIV & AIDS Infectious Diseases Influenza Malaria Measles Sepsis Swine Flu Tropical Medicine Tuberculosis Infectious diseases are caused by pathogenic...

Antiretroviral therapy
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...


Searches Linking to this Trial