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Artificial 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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