Results 81 to 90 of about 25,541,282 (305)

Explainable Survival Analysis of Censored Clinical Data Using a Neural Network Approach

BioMedInformatics
Survival analysis is a statistical approach widely employed to model the time of an event, such as a patient’s death. Classical approaches include the Kaplan–Meier estimator and Cox proportional hazards regression, which assume a linear relationship ...
Lisa Anita De Santi, Francesca Orlandini, Vincenzo Positano, Laura Pistoia, Francesco Sorrentino, Giuseppe Messina, Maria Grazia Roberti, Massimiliano Missere, Nicolò Schicchi, Antonino Vallone, Maria Filomena Santarelli, Alberto Clemente, Antonella Meloni   +12 more
doaj   +1 more source

Oblique survival trees based on dipolar splitting criteria

, 2022
Access to thesis permanently restricted to Ball State community onlySurvival analysis, which is the study of time to event distributions, has wide application in epidemiology, engineering and finance, among many others.
Maung, Aye Aye
core  

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Risk scoring model for lung adenocarcinoma based on PD-L1 related signature reveals prognostic predictability and correlation with tumor immune microenvironment genes was constructed

Frontiers in Immunology
BackgroundImmunotherapy has recently become a hot topic in the field of oncology, with PD-L1 playing a crucial role in this area. However, the research on PD-L1 correlation prediction models is not fully understood.
Meng Li-Fei, Si-Meng Ren, Jun Wang, Wei-Jun Zhao, Jian Chen, Wen-Tao Hu   +5 more
doaj   +1 more source

Survival analysis of 1148 women diagnosed with breast cancer in Southern Iran [PDF]

, 2009
Background: while there has been much research regarding risk factors and prognostic factors for breast cancer in general, research specific to Iran is sparse.
Talei, Abdolrasoul, Rezaianzadeh, Abbas, Daniel Reidpath, Reidpath Daniel, Reidpath, D, Peacock, J, Hosseini, SV, Talei Abdolrasoul, Hosseini, Seyed Vahid, Hosseini, Seyed Vahid, Seyed Hosseini, Rezaianzadeh Abbas, Davood Mehrabani, Talei, A, Janet Peacock, Hoseini Seyed, Mehrabani, D, Mehrabani Davood, Rezaianzadeh, A, Peacock, Janet, Hosseini, S.V, Peacock Janet, Seyed Vahid Hosseini, Peacock, J.L, Mehrabani, Davood, Reidpath, Daniel, Abdolrasoul Talei, Reidpath, DD, Abbas Rezaianzadeh   +28 more
core   +2 more sources

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Meal Pattern Variables and 15-Year Mortality: Results from the Gothenburg H70 Birth Cohort Studies, Sweden

Food & Nutrition Research
Background: Dietary habits throughout life significantly influence health in old age; yet, little is known about the relationship between meal pattern and mortality among older adults.
Emmalee Gisslevik, Love Svanqvist, Ingmar Skoog, Lauren Lissner, Elisabet Rothenberg   +4 more
doaj   +1 more source

Nonparametric Survival Analysis

Statistical Science, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

FEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani, Konstantinos Spanopoulos, Zoi Piperigkou, Nikos K. Karamanos   +3 more
wiley   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics & Systems Pharmacology
We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
doaj   +1 more source