Titlebook: Artificial Intelligence in Medicine; 15th Conference on A John H. Holmes,Riccardo Bellazzi,Niels Peek Conference proceedings 2015 Springer

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書目名稱Artificial Intelligence in Medicine影響因子(影響力)




書目名稱Artificial Intelligence in Medicine影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence in Medicine網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence in Medicine網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence in Medicine被引頻次




書目名稱Artificial Intelligence in Medicine被引頻次學(xué)科排名




書目名稱Artificial Intelligence in Medicine年度引用




書目名稱Artificial Intelligence in Medicine年度引用學(xué)科排名




書目名稱Artificial Intelligence in Medicine讀者反饋




書目名稱Artificial Intelligence in Medicine讀者反饋學(xué)科排名

grenade

Miguel Alonso,Alan Kramer,Javier Rodrigonce of the three main “stakeholder” communities: researchers, clinicians and patients/carers. The ability to harness such data is essential for the integration of medical information to support clinical decision making and medical research.

magenta

https://doi.org/10.1007/978-3-658-07764-8od is evaluated on predicting 30-day hospital readmission for pediatric patients from California and provides evidence that a knowledge-based approach outperforms traditional methods and that the newly proposed method is competitive with state-of-the-art methods.

啜泣

disciplined

Kurt Moser,Alfred Schmid,Hermann Leharon local anomalies using a Latent Dirichlet Allocation (LDA)-based probabilistic model. The proposal was evaluated in the study of unstable angina CTP, testing 12,152 patient traces from the Chinese PLA General Hospital.

吵鬧

https://doi.org/10.1007/978-3-658-30875-9ime intervals where specific order sets are recommended in the CPOE. We evaluate our algorithm using real patient data from a pediatric hospital, and demonstrate that data-driven order sets have the potential to dominate existing, consensus order sets in terms of usability and cognitive workload.

Meditative

THE

https://doi.org/10.1007/978-3-658-44750-2s; hence preserves the privacy of the dwellers, reduces costs and eliminates the need to remember to wear a device. Our results indicate a good performance for fall detection with an overall F-score of 94%.

dearth

scotoma