Fuzz-IEEE2014: Special session on Paradigms of Fuzzy Systems for Medical Benefits

IEEE CIS Task Force on Fuzzy Logic in Medical Sciences

Special Session

FUZZ-IEEE 2014 (2014 IEEE International Conference on Fuzzy Systems)
Beijing International Convention Center, Beijing, China
July 6-11, 2014

Special Session: ThF2-3 Paradigms of Fuzzy Systems for Medical Benefits
Chair: Syoji Kobashi and Md. Atiqur Rahman Ahad
Room: Room: 201C

Aim

The purpose of this special session is to disseminate and discuss recent and significant research issues on how Fuzzy systems can be used to solve challenging problems related to medical, biomedical, and healthcare fields. It is held under the IEEE CIS Task Force of “Fuzzy Logic in Medical Sciences”.

Topics of interest:

Fuzzy logic-based medical diagnosis control system
Fuzzy logic-based medical applications, Soft computing for medical applications
Fuzzy logic-based affective computing and psychological evaluations
Fuzzy data analysis ? bioinformatics, medical informatics, pattern recognition
Fuzzy optimization and control
Fuzzy machine learning approach to medical applications
Fuzzy machine learning approach to biomedical applications
Neuro-fuzzy models for biomedical signal processing
Signal processing of MRI, fMRI, EEG, ECG, etc.
Smart diagnostic predictions of various diseases
Applications in image processing and pattern recognition
Fuzzy logic vs. other soft computing approaches
Approaches based on neuro-fuzzy, evolutionary neuro-fuzzy, neuro-genetic, genetic fuzzy, fuzzy cognitive map
Fuzzy inference systems, Assistive robotics
Fuzzy temporal representation of knowledge
Future trends, Datasets, Healthcare

Program:

Special Session: ThF2-3 Paradigms of Fuzzy Systems for Medical Benefits, Chair: Syoji Kobashi and Md. Atiqur Rahman Ahad, Room: 201C

4:00PM	Fuzzy Object Growth Model for Newborn Brain Using Manifold Learning	Ryosuke Nakano, Syoji Kobashi, Kei Kuramoto, Yuki Wakata, Kumiko Ando, Reiichi Ishikura, Tomomoto Ishikawa, Shozo Hirota and Yutaka Hata
4:20PM	Investigating Distance Metric Learning in Semi-Supervised Fuzzy C-Means Clustering	Daphne Teck Ching Lai, Jonathan Garibaldi and Jenna Reps
4:40PM	Soft Class Decision for Nursing-Care Text Classification Using a K-Nearest Neighbor Based System	Manabu Nii, Kazunobu Takahama, Atsuko Uchinuno and Reiko Sakashita
5:00PM	An Automated Determination of Blumensaat Line Using Fuzzy System Based on Physician Experience from Femur CT Image	Yosuke Uozumi, Kouki Nagamune, Naoki Nakano, Kanto Nagai, Yuichiro Nishizawa, Yuichi Hoshino, Takehiko Matsushita, Ryosuke Kuroda and Masahiro Kurosaka
5:20PM	Multimodeling for the Prediction of Patient Readmissions in Intensive Care Units	Marta Fernandes, Claudia Silva, Susana Vieira and Joao Sousa
5:40PM	Benefits of Fuzzy Logic in the Assessment of Intellectual Disability	Alessandro Di Nuovo, Santo Di Nuovo, Serafino Buono and Vincenzo Cutello