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ORCIDArtificial Intelligence in Medicine, Volume 104
Volume 104, April 2020
- Hui Xiong, Bowen Qiu, Jin-Zhen Liu:
An improved multi-swarm particle swarm optimizer for optimizing the electric field distribution of multichannel transcranial magnetic stimulation. 101790 - Henrique L. F. Soares, Edilson F. Arruda
, Laura Bahiense, Daniel Gartner, Luiz Amorim Filho:
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate. 101791 - Mohammad-Parsa Hosseini, Tuyen X. Tran, Dario Pompili, Kost V. Elisevich, Hamid Soltanian-Zadeh:
Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing. 101813 - Nonso Alex Nnamoko, Ioannis Korkontzelos:
Efficient treatment of outliers and class imbalance for diabetes prediction. 101815 - Fernando Jiménez, José T. Palma, Gracia Sánchez, David Marín, Francisco Palacios Ortega, M. D. Lucía López:
Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction. 101818 - Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson:
Early detection of sepsis utilizing deep learning on electronic health record event sequences. 101820
- Abeer Alzubaidi, Jonathan A. Tepper, Ahmad Lotfi:
A novel deep mining model for effective knowledge discovery from omics data. 101821
- Jonathan Waring, Charlotta Lindvall, Renato Umeton:
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare. 101822
- Benjamin J. Lobo, Emaad Abdel-Rahman, Donald E. Brown, Lori Dunn, Brendan Bowman:
A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease. 101823 - Fatma Patlar Akbulut, Baris Ikitimur, Aydin Akan:
Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome. 101824
- Miguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen:
Reinforcement learning application in diabetes blood glucose control: A systematic review. 101836
- Arnaud Huaulmé, Pierre Jannin, Fabian Reche, Jean-Luc Faucheron, Alexandre Moreau-Gaudry, Sandrine Voros:
Offline identification of surgical deviations in laparoscopic rectopexy. 101837
- Pritpal Singh:
A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease. 101838
- Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li:
Detecting potential signals of adverse drug events from prescription data. 101839 - Chunyu Liu, Ran Liu, Junteng Zhou, Miye Wang, Jing Xu, Lan Su, Yixuan Zuo, Rui Zhang, Yizhou Feng, Chen Wang, Hongmei Yan, Qing Zhang:
Characterizing the critical features when personalizing antihypertensive drugs using spectrum analysis and machine learning methods. 101841 - Jan Gaebel, Hans-Georg Wu, Alexander Oeser, Mario A. Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, Steffen Oeltze-Jafra:
Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. 101842
- Andreas Triantafyllidis, Eleftheria Polychronidou, Anastasios Alexiadis, Cleilton Lima Rocha, Douglas Nogueira Oliveira, Amanda S. da Silva, Ananda Lima Freire, Crislanio Macedo, Igor Farias Sousa, Eriko Werbet, Elena Arredondo Lillo, Henar González Luengo, Macarena Torrego Ellacuría, Konstantinos Votis, Dimitrios Tzovaras:
Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature. 101844
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