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Decision Level Fusion Using Hybrid Classifier for Mental Disease Classification

Computers, Materials & Continua 2022年第9期72卷 5041-5058页

作者： Maqsood Ahmad Noorhaniza Wahid rahayu a hamid Saima Sadiq Arif Mehmood Gyu Sang Choi Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia86400 Parit RajaBatu PahatJohorMalaysia Department of Computer Science Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Information Technology The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan 38542Korea

Mental health signifies the emotional,social,and psychological well-being of a *** also affects the way of thinking,feeling,and situation handling of a *** mental health helps in working with full potential in all stages of life from childhood to adulthood therefore it is of significant importance to find out the onset of the mental disease in order to maintain balance in *** health problems are rising globally and constituting a burden on healthcare *** diagnosis can help the professionals in the treatment that may lead to complications if they remain *** machine learning models are highly prevalent for medical data analysis,disease diagnosis,and psychiatric *** research addresses the challenge of detecting six major psychological disorders,namely,Anxiety,Bipolar Disorder,Conversion Disorder,Depression,Mental Retardation and *** challenges are mined by applying decision level fusion of supervised machine learning algorithms.A dataset was collected from a clinical psychologist consisting of 1771 observations that we used for training and testing the ***,to reduce the impact of a conflicting decision,a voting scheme Shrewd Probing Prediction Model(SPPM)is introduced to get output from ensemble model of Random Forest and Gradient Boosting Machine(RF+GBM).This research provides an intuitive solution for mental disorder analysis among different target class labels or groups.A framework is proposed for determining the mental health problem of patients using observations of medical *** framework consists of an ensemble model based on RF and GBM with a novel SPPM *** proposed decision level fusion approach by combining RF+GBM with SPPM-MIN significantly improves the performance in terms of Accuracy,Precision,Recall,and F1-score with 71\%,73\%,71\%and 71\%*** framework seems suitable in the case of huge and more diverse multiclass ***,three

关键词： Mental health diagnosis machine learning depression shrewd probing diagnostic approach

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Optimization of medium components using response surface methodology (RSM) for mycelium biomass and exopolysaccharide production by Lentinus squarrosulus

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Advances in Bioscience and Biotechnology 2013年第12期4卷 1079-1085页

作者： rahayu Ahmad Najeeb Kaid Nasser Al-Shorgani Aidil Abdul hamid Wan Mohtar Wan Yusoff Fauzi Daud School of Bioscience and Biotechnology Faculty Science and Technology National University of Malaysia Bangi Selangor Malaysia School of Bioscience and Biotechnology Faculty Science and Technology National University of Malaysia Bangi Selangor Malaysia Department of Applied Microbiology Faculty of Applied Sciences Taiz University Taiz Yemen

The interaction between sucrose, yeast extract and initial pH was investigated to optimize critical medium components for mycelium biomass and production of exopolysaccharide (EPS) of Lentinus squarrosulus using Response Surface Methodology (RSM). A central composite design (CCD) was applied and a polynomial regression model with quadratic term was used to analyse the experimental data using analysis of variance (ANOVA). ANOVA analysis showed that the model was very significant (p Lentinus squarrosulus are as follows: sucrose concentration 114.61 g/L, yeast extract 1.62 g/L and initial pH of 5.81;sucrose concentration 115.8 g/L, yeast extract of 3.39 g/L and initial pH of 6.44 respectively.

关键词： Lentinus squarrosulus Response Surface Methodology (RSM) Exopolysaccharide Submerged Culture Central Composite Design (CCD)

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Antioxidant Properties and Glucan Compositions of Various Crude Extract from Lentinus squarrosulusMycelial Culture

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Advances in Bioscience and Biotechnology 2014年第10期5卷 805-814页

作者： rahayu Ahmad Sutha Muniandy Nur Iffah Abdullah Shukri Siti Mariatul Usyida Alias Aidil Abdul hamid Wan Mohtar Wan Yusoff Sahidan Senafi Fauzi Daud School of Bioscience and Biotechnology Faculty Science and Technology National University of Malaysia Bangi Malaysia

Various crude extracts of Lentinus squarrosulus mushroom mycelium and culture broth were prepared for antioxidant studies, glucan and carbohydrate compound analysis. Crude extract from ethanol, cold and hot water extraction was tested on several complementary test systems namely DPPH free radical scavenging, β-carotene linoleic acid oxidation, total phenolic compound, total flavonoid compound, total carbohydrate content and total glucan compositions. The antioxidant activity of the crude extracts of Lentinus squarrosulus mushroom mycelium and culture broth was determined by 2,2’ diphenyl-1-picrylhydrazyl (DPPH) radical scavenging method and β-carotene linoleic acid assay. Crude extracted from culture broth EPS EE recorded the highest radical scavenging effects at 20 mg/mL (85%) which is closer to the control antioxidants (ascorbic acid 97%;BHT 92.4%;BHA 93.6%). Both the ethanol extract (IPS EE and EPS EE) exhibited the highest β-carotene linoleic acid oxidation by recording IC50 values of 0.6 and 0.65 mg/mL respectively. IPS EE (0.59 mg/g) and EPS WE (0.58 mg/g) showed high flavonoid content whereas total phenol content was high in EPS WE (0.85 mg/g) and IPS EE (0.84 mg/g). Total carbohydrate concentrations were high in IPS HWE and IPS CWE with 19.1 and 16.3 mg/mL respectively and these data correlate with the β-glucan content in both extracts. The highest β-glucan content found in IPS CWE and IPS HWE were 12.2 and 11.4% w/w respectively.

关键词： Lentinus squarrosulus β-Glucan Antioxidant Polysaccharides Submerged Fermentation

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Optimization of Mycelial Biomass Production in Submerged Culture Fermentation of Pleurotus flabellatusUsing Response Surface Methodology

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Advances in Bioscience and Biotechnology 2015年第6期6卷 419-426页

作者： Shaiful Azuar Mohamad Mat Rasol Awang Rosnani Abdul Rashid Liew Siew Ling Fauzi Daud Aidil Abdul hamid rahayu Ahmad Wan Mohtar Wan Yusoff Agrotechnology and Biosciences Division Malaysian Nuclear Agency Bangi Malaysia Faculty of Science and Technology Universiti Kebangsaan Malaysia Bangi Malaysia

The factors selected to optimize the productivity of Pleurotus flabellatus biomass in 250ml working volume Erlenmeyer flask were agitation rate, initial pH value and incubation temperature. The central composite design was applied to study the significant factors and the interactions between the chosen factors, if present. The Design Expert software generated 20 runs. The optimized conditions obtained were as follows: the agitation rate of 129.8 rpm, incubation temperature at 27.8°C, and initial pH of 6.06. The optimized conditions tripled the productivity at the range of 980 - 1040 mg/litre/day compared to the initial rate productivity at 310 mg/litre/day. From the quadratic equation,the agitation rate, temperature and the interaction between agitation rate and temperature were found to be significant (p < 0.05). At optimum conditions, the experimental data supported the theoretical estimate.

关键词： Submerged Culture Fermentation Response Surface Methodology Mushroom Production

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