Results 181 to 190 of about 85,662 (301)

Emati: a recommender system for biomedical literature based on supervised learning. [PDF]

Database (Oxford), 2022
Kart Ö, Mestiashvili A, Lachmann K, Kwasnicki R, Schroeder M.   +4 more
europepmc   +1 more source

Basilar Artery Occlusion Stroke Managed With Tenecteplase Versus Alteplase Before Endovascular Treatment (BAO‐TNK)

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To compare the effectiveness and safety of tenecteplase (TNK) versus alteplase (TPA) in patients with basilar artery occlusion prior to endovascular treatment (EVT). Methods In this retrospective multicenter study (BAO‐TNK), we analyzed consecutive BAO patients from 14 U.S.
Rahul R. Karamchandani, Dylan N. Wolman, Tyler M. Bielinski, Nitin Goyal, Jeremy B. Rhoten, Mahesh V. Jayaraman, Christian T. Sidebottom, Bradley A. Gross, Alhamza R. Al‐Bayati, Mohamed F. Doheim, Matthew K. Tobin, Anoop Chinthala, Avi Gajjar, Justin Mascitelli, Matthew R. Webb, Jan‐Karl Burkhardt, Kyle W. Scott, Visish Srinivasan, Daniel Tonetti, Manisha Koneru, David J. Altschul, Dhrumhil Vaishnav, Sumeet Multani, Thana Theofanis, William J. Ares, Je Yeong Sone, Ramin Zand, Sasan Bahrami, Jiang Li, Gary Defilipp, Dale Strong, Radmehr Torabi, Krisztina Moldovan, Kelsey E. Kline, Clemens M. Schirmer, Raul G. Nogueira, Alexandra R. Paul, Bradley N. Bohnstedt, Philipp Hendrix   +38 more
wiley   +1 more source

Findme-scholar: a contextual researcher recommender system for enhancing research collaboration using adaptive topic interest area modelling. [PDF]

MethodsX
Shiddiqi AM, Alzamzami MN, Adillion IG, Budiman MIA, Supriyanto R, Machmud M.   +5 more
europepmc   +1 more source

Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques. [PDF]

Comput Intell Neurosci, 2023
Ahmad SS, Rani R, Wattar I, Sharma M, Sharma S, Nair R, Tiwari B.   +6 more
europepmc   +1 more source

Privacy Preserving Recommender Systems: Balancing Personalization with Privacy

Ranjeet Jha
openalex   +1 more source

Applying recommender systems in collaboration environments

, 2015
Ernesto Damiani, Paolo Ceravolo, Fulvio Frati, Valerio Bellandi, Ronald Maier, Isabella Seeber, Gabriela Waldhart   +6 more
openalex   +2 more sources

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Privacy-preserving recommender system using the data collaboration analysis for distributed datasets. [PDF]

PLoS One
Yanagi T, Ikeda S, Sukegawa N, Takano Y.
europepmc   +1 more source

A field-based recommender system for crop disease detection using machine learning. [PDF]

Front Artif Intell, 2023
Omara J, Talavera E, Otim D, Turcza D, Ofumbi E, Owomugisha G.   +5 more
europepmc   +1 more source

AvgHR results of multi-criteria recommender systems on YM10 dataset for each aggregation techniques and filler size 1% (S2).

Tugba Turkoglu Kaya (22830341)
openalex   +1 more source