Results 41 to 50 of about 11,013,156 (214)

Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score

open access: yesBritish medical journal, 2020
Objective To develop and validate a pragmatic risk score to predict mortality in patients admitted to hospital with coronavirus disease 2019 (covid-19). Design Prospective observational cohort study.
S. Knight   +352 more
semanticscholar   +1 more source

Filtering and Smoothing with Score-Driven Models

open access: yes, 2019
We propose a methodology for filtering, smoothing and assessing parameter and filtering uncertainty in misspecified score-driven models. Our technique is based on a general representation of the well-known Kalman filter and smoother recursions for linear
Bormetti, Giacomo   +3 more
core   +1 more source

A Study on Ranking Method in Retrieving Web Pages Based on Content and Link Analysis: Combination of Fourier Domain Scoring and Pagerank Scoring [PDF]

open access: yes, 2008
Ranking module is an important component of search process which sorts through relevant pages. Since collection of Web pages has additional information inherent in the hyperlink structure of the Web, it can be represented as link score and then combined ...
Purwitasari, D. (Diana)
core   +3 more sources

Land use/land cover (LULC) classification using deep-LSTM for hyperspectral images

open access: yesEgyptian Journal of Remote Sensing and Space Sciences
Land Use/Land Cover (LULC) classification using hyperspectral images in remote sensing is a leading technology. However, LULC classification using hyperspectral images is a difficult task and time-consuming process because it has fewer training samples ...
Ganji Tejasree, L. Agilandeeswari
doaj   +1 more source

Family learning: "What's the score?" [PDF]

open access: yes, 2012
Family Learning through Football and Coaching (FLTFC) was developed with Sunderland Association Football Club (SAFC) Foundation, an adult basic skills provider, a primary school and the Open College Network.
Davison, June
core  

Improving Multi-Label Emotion Classification on Imbalanced Social Media Data With BERT and Clipped Asymmetric Loss

open access: yesIEEE Access
This research addresses the challenge of multi-label emotion classification on imbalanced datasets using a BERT-based model. Emotion classification, essential for applications like social media analysis and sentiment monitoring, often suffers from class ...
Sandhya Ramakrishnan, L. D. Dhinesh Babu
doaj   +1 more source

A pilot project to study troponin I in a representative sample of the region from the ESSE-RF study: distribution among population and associations with risk factors

open access: yesКардиоваскулярная терапия и профилактика, 2021
Aim. To assess the distribution of cardiac troponin I (cTnI) in a sample of the region from the ESSE-RF study and to study its associations with risk factors (RFs) and the Systematic Coronary Risk Evaluation (SCORE) system.Material and methods.
S. A. Shalnova   +9 more
doaj   +1 more source

Bruno's Score [PDF]

open access: yesJournal of Pain and Symptom Management, 2019
Many of our experiences in hospice and palliative care medicine are challenging. We support dying patients and their families as they struggle with the transition from life to death and continue to support those in mourning. Many times, in America, it is difficult to even appreciate a glimmer of spiritual grace as our patients die.
openaire   +2 more sources

Tutorial: a guide to performing polygenic risk score analyses

open access: yesbioRxiv, 2018
A polygenic score (PGS) or polygenic risk score (PRS) is an estimate of an individual’s genetic liability to a trait or disease, calculated according to their genotype profile and relevant genome-wide association study (GWAS) data.
S. Choi   +2 more
semanticscholar   +1 more source

NISP: Pruning Networks Using Neuron Importance Score Propagation [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
To reduce the significant redundancy in deep Convolutional Neural Networks (CNNs), most existing methods prune neurons by only considering the statistics of an individual layer or two consecutive layers (e.g., prune one layer to minimize the ...
Ruichi Yu   +8 more
semanticscholar   +1 more source

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