Results 201 to 210 of about 83,645 (264)

De novo transcriptome assembly and annotation of Penaeus monodon hemocytes under WSSV infection and STAT knockdown. [PDF]

Sci Data
Jatuyosporn T, Laohawutthichai P, Cornejo-Granados F, Gallardo-Becerra L, Tassanakajon A, Hurtado-Ramírez JM, Ochoa-Leyva A, Krusong K.   +7 more
europepmc   +1 more source

Can we predict surgical outcomes: A systematic review and critical appraisal of clinical prediction models in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective Prediction models are increasingly being sought in epilepsy surgery to predict postoperative outcomes and support clinical decision‐making. Studies summarizing the evidence in this area can provide insight into the type of surgical prediction models, their methodology, and their performance and inform areas for future research.
Alyssa A. Federico, Mandavi Kashyap, Chantelle Q. Y. Lin, Karl M. Klein, Olayinka I. Arimoro, Samuel Wiebe   +5 more
wiley   +1 more source

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review. [PDF]

PLoS One
Gebeyehu B, Kleinberg B, Van Deun K, de Vries E.   +3 more
europepmc   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines. [PDF]

JMIR Hum Factors
Estrella T, Capdevila L, Alfonso C, Losilla JM.   +3 more
europepmc   +1 more source

DG-FuseNet: A Dual-Scale Dynamical Gated Fusion Framework for Cross-Domain Fault Diagnosis in Rotating Machinery. [PDF]

Sensors (Basel)
Zhang D, Deng X, Liao Y, Gui J, Zhang J.
europepmc   +1 more source

Computationally efficient tail distribution-aware large-scale power system overloading risk assessment. [PDF]

Nat Commun
Tan B, Ye K, Zhao J, Hong M, Maslennikov S, Luo X.   +5 more
europepmc   +1 more source

Refining biomarker-based clustering of cardiovascular inflammatory phenotypes in HIV using Recursive Feature Addition: A comparative evaluation approach. [PDF]

PLoS Comput Biol
Mac Cann R, Alalwan D, Saini G, Garcia Leon AA, Kootstra NA, McGettrick P, Cotter AG, Winston A, Reiss P, Sabin C, Mallon PW, UPBEAT-CAD, AIID and COBRA cohorts.   +12 more
europepmc   +1 more source

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Resampling and Network Theory

IEEE Transactions on Signal and Information Processing over Networks, 2022
Particle filtering provides an approximate representation of a tracked posterior density which converges asymptotically to the true posterior as the number of particles used increases. The greater the number of particles, the higher the computational complexity.
Praveen Babu Choppala, Marcus R. Frean, Paul D. Teal   +2 more
openaire   +1 more source