Results 231 to 240 of about 852,574 (290)

Brazilian Society of Surgical Oncology: Guidelines and Consensus Statement for Palliative Surgery in Oncology. [PDF]

J Surg Oncol
Oliveira ACF, Hammes JH, Oliva IMAA, Mangieri LAM, Bocanegra RED, Junior MGA, Alves ACF, Araujo EO, Teixeira JCA, Freire PIBM, Almeida LJ, Farias RLD, Neto HFEC, Oliveira AF, Ribeiro R, Pinheiro RN.   +15 more
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Provider survey to assess the usability and acceptability of an automated electronic health record-based tool for atrial fibrillation to improve anticoagulation management. [PDF]

JAMIA Open
Carlson BA, Benziger CP, Harry ML, Groth NA, Allen CI, Freitag LA.   +5 more
europepmc   +1 more source

Improved Weighted Quantum Whale Optimization with vision transformer for intrusion detection, atmospheric monitoring and recommendation in smart agriculture. [PDF]

Sci Rep
Menaka A, Sakthivel K.
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Education Research: Linguistic Analysis of Racial and Gender Biases in Letters of Recommendation of Neurology Residency Applicants. [PDF]

Neurol Educ
Rana A, Malerba S, Shanker VL.
europepmc   +1 more source

Glottoplasty for vocal feminization in transgender women: position paper of the Brazilian Academy of Laryngology and Voice (ABLV). [PDF]

Braz J Otorhinolaryngol
Aires MM, Alencar Araripe Nunes A, Campos E Santos ÉC, Carneiro CG, Catani GSDA, Hachiya A, Haguette EF, Neves LR, Sant' Anna GD, Sarvat MA.   +9 more
europepmc   +1 more source

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Indirect location recommendation

Proceedings of the 8th Workshop on Geographic Information Retrieval, 2014
Recommending interesting locations to users is a challenge for social and productive networks. The evidence of the content produced by users must be considered in this task, which may be simplified by the use of the meta-data associated with the content, i.e., the categorization supported by the network -- descriptive keywords and geographic ...
André Sabino, Armanda Rodrigues
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Location recommendation for location-based social networks

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010
In this paper, we study the research issues in realizing location recommendation services for large-scale location-based social networks, by exploiting the social and geographical characteristics of users and locations/places. Through our analysis on a dataset collected from Foursquare, a popular location-based social networking system, we observe that
Mao Ye, Peifeng Yin, Wang-Chien Lee
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Geography-Aware Sequential Location Recommendation

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020
Sequential location recommendation plays an important role in many applications such as mobility prediction, route planning and location-based advertisements. In spite of evolving from tensor factorization to RNN-based neural networks, existing methods did not make effective use of geographical information and suffered from the sparsity issue.
Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen   +4 more
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