Results 51 to 60 of about 743,383 (345)

Predictive Modelling and Time: An Experiment in Temporal Archaeological Predictive Models

open access: yesInternet Archaeology, 2006
One of the most common criticisms of archaeological predictive modelling is that it fails to account for temporal or functional differences in sites. However, a practical solution to temporal or functional predictive modelling has proven to be elusive ...
David Ebert
doaj   +1 more source

VoPo leverages cellular heterogeneity for predictive modeling of single-cell data

open access: yesNature Communications, 2020
Single-cell technologies are increasingly prominent in clinical applications, but predictive modelling with such data in large cohorts has remained computationally challenging.
Natalie Stanley   +29 more
doaj   +1 more source

Delamination-fretting wear failure evaluation at HAp-Ti-6Al-4V interface of artificial hip implant [PDF]

open access: yes, 2021
Osteoarthritis due to rapid aging population in Malaysia and developed countries leads to an extensive application of titanium artificial hip implants. However, titanium alloys (Ti-6Al-4V) cannot directly adhere with human bone due to bio-compatibility ...
Muniandy, Nagentrau
core  

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash   +4 more
wiley   +1 more source

The benefits of segmentation: Evidence from a South African bank and other studies

open access: yesSouth African Journal of Science, 2017
We applied different modelling techniques to six data sets from different disciplines in the industry, on which predictive models can be developed, to demonstrate the benefit of segmentation in linear predictive modelling.
Douw G. Breed, Tanja Verste
doaj   +1 more source

Maintaining Bone Health in the Lumbar Spine: Routine Activities Alone Are Not Enough

open access: yesFrontiers in Bioengineering and Biotechnology, 2021
Public health organisations typically recommend a minimum amount of moderate intensity activities such as walking or cycling for two and a half hours a week, combined with some more demanding physical activity on at least 2 days a week to maintain a ...
Clément D. Favier   +2 more
doaj   +1 more source

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright   +13 more
wiley   +1 more source

TREEOME: A framework for epigenetic and transcriptomic data integration to explore regulatory interactions controlling transcription [PDF]

open access: yes, 2015
Motivation: Predictive modelling of gene expression is a powerful framework for the in silico exploration of transcriptional regulatory interactions through the integration of high-throughput -omics data.
Budden, David M   +2 more
core   +2 more sources

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim   +8 more
wiley   +1 more source

A multi-modal integrated deep neural networks for the prediction of cardiovascular disease in type-2 diabetic males

open access: yesAutomatika, 2023
Heart disease is a leading cause of mortality and illness worldwide. Heart disease identification and prediction may considerably improve patient outcomes.
S. V. Evangelin Sonia   +2 more
doaj   +1 more source

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