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Artificial Intelligence in Medicine, Volume 99
Volume 99, August 2019
- Xiaowei Li, Xin Zhang, Jing Zhu, Wandeng Mao, Shuting Sun, Zihan Wang, Chen Xia, Bin Hu:
Depression recognition using machine learning methods with different feature generation strategies. - Nassim Versbraegen, Aziz Fouché
, Charlotte Nachtegael
, Sofia Papadimitriou, Andrea M. Gazzo, Guillaume Smits, Tom Lenaerts
:
Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases. - Malihe Javidi, Ahad Harati
, Hamidreza Pourreza
:
Retinal image assessment using bi-level adaptive morphological component analysis. - Yi-Peng Liu
, Zhanqing Li, Cong Xu
, Jing Li, Ronghua Liang:
Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network. - Tahira Nazir
, Aun Irtaza, Zain Shabbir, Ali Javed, Usman Akram, Muhammad Tariq Mahmood
:
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines. - Nicolas Houy, François Le Grand
:
Personalized oncology with artificial intelligence: The case of temozolomide. - Anders Reenberg Andersen
, Wim Vancroonenburg
, Greet Vanden Berghe
:
Strategic room type allocation for nursing wards through Markov chain modeling. - A. M. Mutawa
, Mariam A. Alzuwawi:
Multilayered rule-based expert system for diagnosing uveitis.
- Norah M. Asiri
, Muhammad Hussain
, Fadwa Al Adel, Nazih Alzaidi:
Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey. - Andy M. Y. Tai
, Alcides Albuquerque
, Nicole E. Carmona, Mehala Subramanieapillai, Danielle S. Cha, Margarita Sheko, Yena Lee, Rodrigo Mansur, Roger S. McIntyre:
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry.
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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