Wyniki wyszukiwania - BazTech

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A Novel Approach for Coronary Artery Disease Diagnosis using Hybrid Particle Swarm Optimization based Emotional Neural Network

Shahid Afzal Hussain, Singh M. P.

Biocybernetics and Biomedical Engineering

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2020

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Vol. 40, no. 4

1568--1585

EN

Coronary artery disease (CAD) can cause serious conditions such as severe heart attack, heart failure, and angina in patients with cardiovascular problems. These conditions may be prevented by knowing the important symptoms and diagnosing the disease in the early stage. For diagnosing CAD, clinicians often use angiography, however, it is an invasive procedure that incurs high costs and causes severe side effects. Therefore, the other alternatives such as data mining and machine learning techniques have been applied extensively. Accordingly, the paper proposes a recent development of a highly accurate machine learning model emotional neural networks (EmNNs) which is hybridized with conventional particle swarm optimization (PSO) technique for the diagnosis of CAD. To enhance the performance of the proposed model, the paper employs four different feature selection methods, namely Fisher, Relief-F, Minimum Redundancy Maximum Relevance, and Weight by SVM, on Z-Alizadeh sani dataset. The EmNNs, with addition to the conventional weights and biases, uses emotional parameters to enhance the learning ability of the network. Further, the efficiency of the proposed model is compared with the PSO based adaptive neuro-fuzzy inference system (PSO-ANFIS). The proposed model is found better than the PSO-ANFIS model. The obtained highest average values of accuracy, precision, sensitivity, specificity, and F1-score over all the 10-fold cross-validation are 88.34%, 92.37%, 91.85%, 78.98%, and 92.12% respectively which is competitive to the known approaches in the literature. The F1-score obtained by the proposed model over Z-Alizadeh sani dataset is second best among the existing works.

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Computational intelligence techniques for medical diagnosis and prognosis: Problems and current developments

Shahid Afzal Hussain, Singh M. P.

Biocybernetics and Biomedical Engineering

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2019

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Vol. 39, no. 3

638--672

EN

Diagnosis, being the first step in medical practice, is very crucial for clinical decision making. This paper investigates state-of-the-art computational intelligence (CI) techniques applied in the field of medical diagnosis and prognosis. The paper presents the performance of these techniques in diagnosing different diseases along with the detailed description of the data used. This paper includes basic as well as hybrid CI techniques that have been used in recent years so as to know the current trends in medical diagnosis domain. The paper presents the merits and demerits of different techniques in general as well as application specific context. This paper discusses some critical issues related to the medical diagnosis and prognosis such as uncertainties in the medical domain, problems in the medical data especially dealing with time-stamped (temporal) data, and knowledge acquisition. Moreover, this paper also discusses the features of good CI techniques in medical diagnosis. Overall, this review provides new insight for future research requirements in the medical diagnosis domain.

3

Acoustical investigations of uranium chalcogenides

Singh R. K., Pandey K. K., Singh M. P., Singh R. P.

Materials Science Poland

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2009

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Vol. 27, No. 4/1

1041--1053

EN

Ultrasonic attenuation due to phonon-phonon interaction and thermoelastic loss was evaluated in uranium chalcogenides viz. UX, X= S, Se, Te in fcc phase in the temperature range 50-600 K for longitudinal and shear waves along the <100>, <110> and <111> directions of propagation. Electrostatic and Born-Mayer repulsive potentials were used to obtain second and third order elastic constants, taking the nearest neighbour distance and hardness parameter as the input data. Second and third order elastic constants (obtained at various temperatures) were used to obtain the Gruneisen parameters and non-linearity or anisotropy parameters, which in turn were used to evaluate the ultrasonic attenuation coefficient over the frequency square due to phonon-phonon interaction, (?/f 2)p-p in the Akhiezer regime. It has been found that at lower temperatures ?/f 2 increases rapidly with temperature, and at higher temperatures the rate of increase becomes small. Contribution to the total attenuation due to thermoelastic loss is negligible in comparison with that of phonon-phonon interaction, i.e. a major part of the energy from the sound wave is removed, due to interaction of acoustic phonons with thermal phonons (lattice vibrations).

4

Studies on bio-energetics of draught buffalo

Singh M. P., Sharma S. C.

Technical Sciences / University of Warmia and Mazury in Olsztyn

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2008

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nr 11

21-34

EN

The effects of environment and work conditions on fatigue of draught buffalo have been studied under controlled condition using an animal treadmill. The physiological, hematological, biochemical, skin temperature, cardiovascular, and muscle strain responses along with distress symptoms of test draught he-buffaloes when exerting a draught of 0,10 and 14% body weight at 1.5 and 2.0 km/h speed with 0, 5 and 10° inclination of treadmill at two temperatures (22 and 42°C) and two levels of humidity (45 and 90%) were studied for four effective hours or time till test draught he-buffalo reached a state of fatigue. Model developed with multiple linear regression technique which showed best fit for physiological, hematological, biochemical, mineral variables, skin temperature, cardiovascular, muscle strain parameters and duration of exercise.

PL

Badano wpływ środowiska i warunków pracy na wyniki prób wysiłkowych bawołu domowego w kontrolowanych warunkach podczas pracy w kieracie. Bawoły chodziły z prędkością 1,5 i 2,0 km/h, z obciążeniem równym: 0, 10 i 14% masy ciała, w kieracie nachylonym pod kątami: 0, 5 i 10°, w warunkach: temperatura 22 i 42°C, wilgotność powietrza 45 i 90%. Wyniki: fizjologiczne, hematologiczne, biochemiczne, sercowo-naczyniowe, temperaturę skóry i napięcie mięśni oraz objawy zaburzeń, zebrano podczas czterech godzin efektywnego testu trwającego do zmęczenia bawołu. Techniką wielokrotnej regresji liniowej opracowano model parametrów opisujących otrzymane wyniki i pozwalających na dobór właściwego czasu trwania wysiłku.