Establishment of a Gallbladder Cancer-Specific Survival Model to Predict Prognosis in Non-metastatic Gallbladder Cancer Patients After Surgical Resection
Sign Up to like & getrecommendations! Published in 2018 at "Digestive Diseases and Sciences"
DOI: 10.1007/s10620-018-5103-7
Abstract: BackgroundGallbladder cancer is an invasive cancer with a discouraging prognosis, and early detection and active intervention are of great value.AimsTo establish a more accurate and effective survival model to predict the prognosis of patients with… read more here.
Keywords: gallbladder; cancer specific; survival model; cancer ... See more keywords
Royston−Parmar flexible parametric survival model to predict the probability of keratoconus progression to corneal transplantation
Sign Up to like & getrecommendations! Published in 2019 at "Eye"
DOI: 10.1038/s41433-019-0554-4
Abstract: Purpose To assess a Royston−Parmar flexible parametric survival model to generate a personalised risk profile for keratoconus progression. Methods We re-analysed a historic database of 2723 individuals with keratoconus. A Royston−Parmar survival model was fitted… read more here.
Keywords: keratoconus progression; model; survival model; royston parmar ... See more keywords
Influence of survival, promotion, and growth on pattern formation in zebrafish skin
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DOI: 10.1038/s41598-021-89116-4
Abstract: The coloring of zebrafish skin is often used as a model system to study biological pattern formation. However, the small number and lack of movement of chromatophores defies traditional Turing-type pattern generating mechanisms. Recent models… read more here.
Keywords: pattern formation; zebrafish skin; promotion; model ... See more keywords
Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1648826
Abstract: Abstract Frailty models are used for modeling heterogeneity in the data analysis of lifetimes. Analysis that ignore frailty when it is present leads to incorrect inferences. In survival analysis, the distribution of frailty is generally… read more here.
Keywords: discrete frailty; frailty; survival model; model induced ... See more keywords
Cluster Survival Model of Concept Drift in Load Profile Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2869129
Abstract: An accurate scenario of customer’s power consumption patterns is a worthwhile asset for electricity provider. This paper proposes a cluster survival model of concept drift in load profile data. The cluster survival model of concept… read more here.
Keywords: concept drift; cluster survival; survival model; load profile ... See more keywords
A method to derive a tree survival model from any existing stand survival model
Sign Up to like & getrecommendations! Published in 2019 at "Canadian Journal of Forest Research"
DOI: 10.1139/cjfr-2019-0171
Abstract: This study addresses a situation in which a forest manager has been using a whole-stand model that seems to predict well for their stands and now wants to derive an individual-tree model from it to... read more here.
Keywords: method derive; tree; model; survival model ... See more keywords
A new survival model with surviving fraction: An application to colorectal cancer data
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280218786053
Abstract: We propose a new survival model for lifetime data in the presence of surviving fraction and obtain some of its properties. Its genesis is based on extensions of the promotion time cure model, where an… read more here.
Keywords: surviving fraction; colorectal cancer; new survival; model ... See more keywords
Spatial Frailty Survival Model for Infection of Tuberculosis among HIV Infected Individuals
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Medical Sciences"
DOI: 10.14445/23939117/ijms-v4i2p102
Abstract: Capturing spatial variation is important while studying disease survival in different geographical regions where regions has its own risk factor associated with disease. To account this risk factor, frailty effect was introduced in this model… read more here.
Keywords: infection tuberculosis; model; tuberculosis; frailty ... See more keywords
Survival model database of human digestive system cells exposed to electroporation pulses: An in vitro and in silico study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.948562
Abstract: Background and objectives This study aimed to establish a mathematical survival model database containing cell-specific coefficients from human digestive system cells exposed to electroporation pulses (EPs). Materials and methods A total of 20 types of… read more here.
Keywords: survival model; cell; human digestive; digestive system ... See more keywords
A risk score system based on DNA methylation levels and a nomogram survival model for lung squamous cell carcinoma
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Molecular Medicine"
DOI: 10.3892/ijmm.2020.4590
Abstract: Lung squamous cell carcinoma (LSCC) is one of the primary types of non-small cell lung carcinoma, and patients with recurrent LSCC usually have a poor prognosis. The present study was conducted to build a risk… read more here.
Keywords: risk; carcinoma; system; survival model ... See more keywords
A scalable discrete-time survival model for neural networks
Sign Up to like & getrecommendations! Published in 2019 at "PeerJ"
DOI: 10.7717/peerj.6257
Abstract: There is currently great interest in applying neural networks to prediction tasks in medicine. It is important for predictive models to be able to use survival data, where each patient has a known follow-up time… read more here.
Keywords: time survival; discrete time; neural networks; time ... See more keywords