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ORCIDArtificial Intelligence in Medicine, Volume 85
Volume 85, April 2018
- Seokho Kang:
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks. 1-6 - Habib Hajimolahoseini, Javad Hashemi, Saeed Gazor
, Damian P. Redfearn:
Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation. 7-15 - Xin Li, Jin Wang, Richard Y. K. Fung:
Approximate dynamic programming approaches for appointment scheduling with patient preferences. 16-25
- Beatriz López, Clare Martin, Pau Herrero Viñas:
Special section on artificial intelligence for diabetes. 26-27 - Daniel Brown, Arantza Aldea, Rachel Harrison, Clare E. Martin, Ian Bayley:
Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support. 28-42 - Beatriz López, Ferran Torrent-Fontbona, Ramón Viñas, José Fernández-Real:
Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction. 43-49 - Emran Saleh, Jerzy Blaszczynski, Antonio Moreno, Aïda Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Roman Slowinski:
Learning ensemble classifiers for diabetic retinopathy assessment. 50-63
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