An investigation of neuro-fuzzy systems in psychosomatic disorders

Aruna, P.; Puviarasan, N.; Palaniappan, B.

doi:10.1016/j.eswa.2004.12.024

Cited by 38 publications

(9 citation statements)

References 14 publications

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“…Indeed, the synergism between FL and NNs has produced functional systems associating ''capacity of learning'' with ''high-level reasoning.'' Within this approach, learning techniques are applied to tune parameters and/or structures of the NFS [12,[28][29][30][31][32].…”

Section: Methodsmentioning

confidence: 99%

Comparing the performance of multilayer perceptrons networks and neuro-fuzzy systems for on-line inference of Bacillus megaterium cellular concentrations

Nucci

Silva

Souza

et al. 2007

Bioprocess Biosyst Eng

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Penicillin G acylase (PGA) is one of the most important enzymes for the pharmaceutical industry. Bacillus megaterium has the advantage of producing extra-cellular PGA. This work compares two neural networks (NNs) architectures for on-line inference of B. megaterium cell mass in an aerated stirred tank bioreactor, during the production of PGA. Nowadays, intelligent computing tools such as artificial NNs and fuzzy logic are commonly applied for state inference and modeling of bioreactors. Combining these two approaches in hybrid, neuro-fuzzy systems, may be advantageous. Our results indicate that a neuro-fuzzy inference system showed a better performance to infer cell concentrations, when compared to multilayer perceptrons networks.

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Section: Methodsmentioning

confidence: 99%

Comparing the performance of multilayer perceptrons networks and neuro-fuzzy systems for on-line inference of Bacillus megaterium cellular concentrations

Nucci

Silva

Souza

et al. 2007

Bioprocess Biosyst Eng

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“…A neuro-fuzzy system for investigating psychosomatic disorders was proposed in [12]. Fuzzy values were fed as inputs into the system to feed forward multilayer neural network.…”

Section: Related Workmentioning

confidence: 99%

A Mobile-Based Fuzzy System for Diagnosing Syphilis (Sexually Transmitted Disease)

Owoseni¹,

Ogundahunsi²,

Ayeni³

2014

IJITCS

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The high rate at which Africans die of syphilis yearly has been majorly attributed to the uneven ratio of the patients to competent medical practitioners who provide Medicare. This mortality rate has always drawn the attention of researchers and different approaches had been used to bring the rate down. This paper provides a software solution that personifies the expertlike way of providing diagnostic service to patients who suffer this disease. It is capable of making approximate diagnosis based on uncertainties. The system has been structured into five components: user interface, fuzzification, knowledge base, inference engine and defuzzification. The user interface uses a graphic user interface based method of human-computer interaction while the fuzzification component has transformed crisp quantities into fuzzy quantities using both interval-valued and S-curve membership functions. The reasoning has been achieved using root sum square (RSS) method and transformation of fuzzy values to scalar ones was through weighted average method. This system was tested and found effective.

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“…Being an adaptive, self-learning and self-organizing system, ANN is able to identify complex non-linear relationships between variables [ 35 ]. Moreover, BPNN has already proven its usefulness regarding several psychiatric and psychosomatic investigations in the past [ 36 , 37 , 38 , 39 , 40 , 41 ]. Overall, BPNN is better suited to determine individual prediction accuracy, and thus, might help increase the uptake of PO [ 42 ].…”

Section: Introductionmentioning

confidence: 99%

Reading Wishes from the Lips: Cancer Patients’ Need for Psycho-Oncological Support during Inpatient and Outpatient Treatment

et al. 2022

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Background: Psycho-oncological support (PO) is an effective measure to reduce distress and improve the quality of life in patients with cancer. Currently, there are only a few studies investigating the (expressed) wish for PO. The aim of this study was to evaluate the number of patients who request PO and to identify predictors for the wish for PO. Methods: Data from 3063 cancer patients who had been diagnosed and treated at a Comprehensive Cancer Center between 2011 and 2019 were analyzed retrospectively. Potential predictors for the wish for PO were identified using logistic regression. As a novelty, a Back Propagation Neural Network (BPNN) was applied to establish a prediction model for the wish for PO. Results: In total, 1752 patients (57.19%) had a distress score above the cut-off and 14.59% expressed the wish for PO. Patients’ requests for pastoral care (OR = 13.1) and social services support (OR = 5.4) were the strongest predictors of the wish for PO. Patients of the female sex or who had a current psychiatric diagnosis, opioid treatment and malignant neoplasms of the skin and the hematopoietic system also predicted the wish for PO, while malignant neoplasms of digestive organs and older age negatively predicted the wish for PO. These nine significant predictors were used as input variables for the BPNN model. BPNN computations indicated that a three-layer network with eight neurons in the hidden layer is the most precise prediction model. Discussion: Our results suggest that the identification of predictors for the wish for PO might foster PO referrals and help cancer patients reduce barriers to expressing their wish for PO. Furthermore, the final BPNN prediction model demonstrates a high level of discrimination and might be easily implemented in the hospital information system.

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An investigation of neuro-fuzzy systems in psychosomatic disorders

Cited by 38 publications

References 14 publications

Comparing the performance of multilayer perceptrons networks and neuro-fuzzy systems for on-line inference of Bacillus megaterium cellular concentrations

Comparing the performance of multilayer perceptrons networks and neuro-fuzzy systems for on-line inference of Bacillus megaterium cellular concentrations

A Mobile-Based Fuzzy System for Diagnosing Syphilis (Sexually Transmitted Disease)

Reading Wishes from the Lips: Cancer Patients’ Need for Psycho-Oncological Support during Inpatient and Outpatient Treatment

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