A fuzzy AHP-based methodology for project prioritization and selection

A Shaygan, ÖM Testik - Soft computing, 2019 - Springer
To improve today's complex systems composed of personnel, hardware, software and
methods, it is necessary to identify, prioritize and select projects to eliminate the causes of …

[HTML][HTML] A neuro-fuzzy approach for the diagnosis of depression

S Chattopadhyay - Applied computing and informatics, 2017 - Elsevier
Depression is considered to be a chronic mood disorder. This paper attempts to
mathematically model how psychiatrists clinically perceive the symptoms and then diagnose …

[HTML][HTML] Genetic-neuro-fuzzy system for grading depression

K Ashish, A Dasari, S Chattopadhyay, NB Hui - Applied computing and …, 2018 - Elsevier
Main aim of this study is to develop a software prototype tool for grading and diagnosing
depression that will help general physicians for first hand applications. Identification of key …

Neural network approaches to grade adult depression

S Chattopadhyay, P Kaur, F Rabhi… - Journal of Medical …, 2012 - Springer
Depression is a common but worrying psychological disorder that adversely affects one's
quality of life. It is more ominous to note that its incidence is increasing. On the other hand …

Neurofuzzy models to automate the grading of old‐age depression

S Chattopadhyay - Expert Systems, 2014 - Wiley Online Library
Manual grading of depression is sometimes difficult due to the subjective signs‐symptoms.
The aim of this paper is to automate the process of depression grading using a neurofuzzy …

[PDF][PDF] Modeling depression data: feed forward neural network vs. radial basis function neural network

S Mukherjee, K Ashish, NB Hui, S Chattopadhyay - Am. J. Biomed. Sci, 2014 - Citeseer
Depression is a serious affliction that affects a large fraction of the global populace. Due to
the widely varying symptoms the diagnosis poses a unique problem based on uncertainty …

[PDF][PDF] Conceptual fuzzy temporal relational model (ftrm) for patient data

A Burney, N Mahmood, T Jilani, H Saleem - WSEAS Transactions on …, 2010 - wseas.us
Classical relational model offer very little built-in support for managing time varying data.
Relational model mainly deal with crisp data and not with imprecise data. Managing …

A model for continuous monitoring of patients with major depression in short and long term periods

F Mugica, A Nebot, S Bagherpour… - … and Health Care, 2017 - content.iospress.com
METHOD: This paper describes the patient assessment unit of a major depression
monitoring system that has three modules: a patient progress module, based on a qualitative …

Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype

AD Samaras, A Feleki… - … & Applications (IISA), 2024 - ieeexplore.ieee.org
Non-small cell lung cancer (NSCLC) is the most common form of lung cancer. It is a complex
disease typically diagnosed in advanced stages, mainly using image data from PET/CT …

Boosting with feature selection technique for screening and predicting adolescents depression

P Thanathamathee - 2014 Fourth International Conference on …, 2014 - ieeexplore.ieee.org
Depression is a psychological disorder that is difficult to diagnose. Therefore, its early
screening and accurate diagnosing are much needed. In this paper, we developed and …