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Arthritis Care &Research, EarlyView.Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients
Machine Learning: Science and TechnologyGravitational lenses are caused by massive astronomical objects that distort space-time, bending light. They can distort transient astrophysical events, such as supernovae (SN), which are the subject of extensive study.
Nicolò Oreste Pinciroli Vago +1 more
doaj +1 more source
Peningkatan Ketepatan Klasifikasi dengan Metode Bootstrap Aggregating pada Regresi Logistik Ordinal
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, 2019 Baby's birth weight is influenced by characteristics of pregnant women such as age, parity, education level, pregnancy visit, and gestational age. Classification of the birth weight of a baby is grouped into several groups, namely low birth weight ...
I Ketut Putu Suniantara +2 more
doaj +1 more source
DIF analysis by ordinal logistic regression.
, 2018 DIF analysis by ordinal logistic regression.
Juan Ignacio Aragonés (5988377) +3 more
core +1 more source
Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Effect Structures in Ordinal Regression: The Adjacent Categories Approach
StatsThe potential of the adjacent categories approach for capturing the influence of explanatory variables on ordinal responses is investigated. Several models with increasing complexity in their linear predictors are considered, and their relationships are ...
Gerhard Tutz
doaj +1 more source
IDENTIFIKASI KARAKTERISTIK KORBAN KECELAKAAN LALU LINTAS DI SIDOARJO TAHUN 2016
The Indonesian Journal of Public Health, 2019 Traffic accident becomes a very serious case because it causes not only material loss but also physical and psychological harms to the subject and the people around him. Accidents that occurred resulted in not only injuries but also death.
daniar mukti septianingtyas
doaj +1 more source
Feature Relevance Bounds for Ordinal Regression
CoRR, 2019 The increasing occurrence of ordinal data, mainly sociodemographic, led to a renewed research interest in ordinal regression, i.e. the prediction of ordered classes. Besides model accuracy, the interpretation of these models itself is of high relevance, and existing approaches therefore enforce e.g. model sparsity.
Pfannschmidt, Lukas +5 more
openaire +5 more sources
Ordinal regression on climate change knowledge.
, 2018 Ordinal regression on climate change knowledge.
Tai-Yi Yu (5897078) +2 more
core +1 more source
Self‐Sealing Microneedles Improve Precision and Reduce Reflux in Subretinal Cell Transplantation
Advanced Materials Technologies, EarlyView.Ultrafine 49G microneedles enable subretinal delivery of induced pluripotent stem cell‐derived retinal pigment epithelial cells through a 50 µm outer diameter tip. Compared with conventional 38G microcannulas, these microneedles reduce cell suspension reflux in a rabbit model, highlighting the potential of microinvasive delivery instruments to improve ...
Jared Ching +9 more
wiley +1 more source