Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science
نویسندگان
چکیده
منابع مشابه
Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science
One of the prevailing applications of machine learning is the use of predictive modelling in clinical survival analysis. In this work, we present our view of the current situation of computer tools for survival analysis, stressing the need of transferring the latest results in the field of machine learning to biomedical researchers. We propose a web based software for survival analysis called O...
متن کاملAn online image analysis tool for science education
This paper describes an online image analysis tool developed as part of an iterative, user-centered development of an online Virtual Learning Environment (VLE) called the Education through Virtual Experience (EVE) Portal. The VLE provides a Web portal through which schoolchildren and their teachers create scientific proposals, retrieve images and other resources, and produce collaborative scien...
متن کاملSurvExpress: An Online Biomarker Validation Tool and Database for Cancer Gene Expression Data Using Survival Analysis
Validation of multi-gene biomarkers for clinical outcomes is one of the most important issues for cancer prognosis. An important source of information for virtual validation is the high number of available cancer datasets. Nevertheless, assessing the prognostic performance of a gene expression signature along datasets is a difficult task for Biologists and Physicians and also time-consuming for...
متن کاملAn Online Dynamic Analysis for Sound Predictive Data Race Detection
Dynamic analyses struggle to detect all of a program’s dataraces, since some data races do not manifest in observedexecutions. Predictive analyses detect true data races thatexist only in other, unobserved executions. Smaragdakiset al. introduce the causally-precedes (CP) relation and apolynomial-time analysis for sound (no false races) predic-tive data race detection. H...
متن کاملSolution Service Composition for Analysis of Online Science Data
The Information Technology and Systems Center (ITSC) at the University of Alabama in Huntsville has teamed with the Goddard Earth Sciences Data and Information Services Center (GES DISC) to develop and demonstrate the use of distributed web service technologies for science data analysis solutions. Many science data repositories are now providing online access to vast amounts of data. This proje...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0161135