Results 11 to 20 of about 9,692 (263)

Prognosis and prognostic research: validating a prognostic model

BMJ, 2009
Prognostic models are of little clinical value unless they are shown to work in other samples.
Altman, D, Vergouwe, Y, Royston, P, Moons, K   +3 more
openaire   +4 more sources

A Comparative Study on Methods for Fusing Data-Driven and Physics-Based Models for Hybrid Remaining Useful Life Prediction of Air Filters

IEEE Access, 2023
Approaches for diagnosis and prognosis of the health of engineering systems are divided into data-driven, model-based, and hybrid methods. Data-driven methods depend on the availability of data.
Simon Hagmeyer, Peter Zeiler
doaj   +1 more source

Survival of Testicular Pure Embryonal Carcinoma vs. Mixed Germ Cell Tumor Patients across All Stages

Medicina, 2023
Background and Objectives: The impact of pure histological subtypes in testicular non-seminoma germ cell tumors on survival, specifically regarding pure embryonal carcinoma, is not well established.
Cristina Cano Garcia, Andrea Panunzio, Stefano Tappero, Mattia Luca Piccinelli, Francesco Barletta, Reha-Baris Incesu, Kyle W. Law, Lukas Scheipner, Zhe Tian, Fred Saad, Shahrokh F. Shariat, Derya Tilki, Alberto Briganti, Ottavio De Cobelli, Carlo Terrone, Alessandro Antonelli, Severine Banek, Luis A. Kluth, Felix K. H. Chun, Pierre I. Karakiewicz   +19 more
doaj   +1 more source

Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges

IEEE Access, 2023
Prognostics and health management (PHM) is an engineering approach dealing with the diagnosis, prognosis, and management of the health state of engineering systems.
Marcel Braig, Peter Zeiler
doaj   +1 more source

The Role of Everolimus in Renal Cell Carcinoma

Journal of Kidney Cancer and VHL, 2015
Everolimus (RAD001) is an orally administered agent that inhibits the mammalian target of rapamycin serine-threonine kinase. A phase III pivotal trial on everolimus, published in 2008, provided the first evidence for the efficacy of sequential therapy ...
Malek Meskawi, Roger Valdivieso, Paolo Dell’Oglio, Vincent Trudeau, Alessandro Larcher, Pierre I Karakiewicz   +5 more
doaj   +1 more source

A Hybrid Prognostic Approach Based on Deep Learning for the Degradation Prediction of Machinery

Sakarya University Journal of Computer and Information Sciences, 2021
Remaining useful life (RUL) prediction is of great significance for prognostic and health management (PHM) as it can achieve more reliable and effective maintenance strategies.
Ahmet Kara
doaj   +1 more source

State of Health Estimation Procedure for Lithium-Ion Batteries Using Partial Discharge Data and Support Vector Regression

Energies, 2023
Battery aging is a complex phenomenon, and precise state of health (SoH) monitoring is essential for effective battery management. This paper presents a data-driven method for SoH estimation based on support vector regression (SVR), utilizing features ...
Emil Petkovski, Iacopo Marri, Loredana Cristaldi, Marco Faifer   +3 more
doaj   +1 more source

Prognosticators and Prognostic Nomograms for Leiomyosarcoma Patients With Metastasis

Frontiers in Oncology, 2022
Individual survival prediction and risk stratification are of vital importance to optimize the individualized treatment of metastatic leiomyosarcoma (LMS) patients. This study aimed to identify the prognostic factors for metastatic LMS patients and establish prognostic models for overall survival (OS) and cancer-specific survival (CSS). The data of LMS
YuChi Zou, QianKun Yang, YuTong Wu, HongBo Ai, ZhongXiang Yao, ChengMin Zhang, Fei Luo   +6 more
openaire   +3 more sources

A Fault-Signal-Based Generalizing Remaining Useful Life Prognostics Method for Wheel Hub Bearings

Applied Sciences, 2019
The goal of this work is to improve the generalization of remaining useful life (RUL) prognostics for wheel hub bearings. The traditional life prognostics methods assume that the data used in RUL prognostics is composed of one specific fatigue damage ...
Shixi Tang, Jinan Gu, Keming Tang, Rong Zou, Xiaohong Sun, Saad Uddin   +5 more
doaj   +1 more source

Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups

BioTech, 2022
Clinical bioinformatics is a newly emerging field that applies bioinformatics techniques for facilitating the identification of diseases, discovery of biomarkers, and therapy decision.
Ricardo J. Pais
doaj   +1 more source