Janghel R.R.,Sagar Institute of Research Technology and Science |
Shukla A.,ABV Indian Institute of Information Technology and Management |
Sharma S.,ABV Indian Institute of Information Technology and Management |
Gnaneswar A.V.,ABV Indian Institute of Information Technology and Management
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014
A major problem in medical science is attaining the correct diagnosis of disease in precedence of its treatment. For the ultimate diagnosis, many tests are generally involved. Too many tests could complicate the main diagnosis process so that even the medical experts might have difficulty in obtaining the end results from those tests. A well-designed computerized diagnosis system could be used to directly attain the ultimate diagnosis with the aid of artificial intelligent algorithms and hybrid system which perform roles as classifiers. In this paper, we describe a Ensemble model which uses MLP, RBF, LVQ models that could be efficiently solve the above stated problem. The use of the approach has fast learning time, smaller requirement for storage space during classification and faster classification with added possibility of incremental learning. The system was comparatively evaluated using different ensemble integration methods for breast cancer diagnosis namely weighted averaging, product, minimum and maximum integration techniques which integrate the results obtained by modules of ensemble, in this case MLP, RBF and LVQ. These models run in parallel and results obtained will be integrated to give final output. The best accuracy, sensitivity and specificity measures are achieved while using minimum integration technique. © Springer International Publishing Switzerland 2014.
Rambhade S.,Peoples Institute of Pharmacy and Research Center |
Chakarborty A.,Peoples Institute of Pharmacy and Research Center |
Shrivastava A.,Peoples Institute of Pharmacy and Research Center |
Patil U.K.,Peoples Institute of Pharmacy and Research Center |
And 2 more authors.
Toxicology International | Year: 2012
In the past, polypharmacy was referred to the mixing of many drugs in one prescription. Today polypharmacy implies to the prescription of too many medications for an individual patient, with an associated higher risk of adverse drug reactions (ADRs) and interactions. Situations certainly exist where the combination therapy or polytherapy is the used for single disease condition. Polypharmacy is a problem of substantial importance, in terms of both direct medication costs and indirect medication costs resulting from drug-related morbidity. Polypharmacy increases the risk of side effects and interactions. Moreover it is a preventable problem. A retrospective study was carried out at Bhopal district (Capital of Madhya Pradesh, India) in the year of September-November 2009 by collecting prescriptions of consultants at various levels of health care. The tendency of polypharmacy was studied and analyzed under the various heads in the survey. Available data suggests that polypharmacy is a widespread problem, and physician, clinical pharmacists and patients are all responsible. These risks can be minimized through identifying the prevalence of this potential problem in a high-risk population and by increasing awareness among patients and healthcare professionals. Physicians and clinical pharmacists have the potential to combating this problem through a variety of interventions such as reducing the number of medications taken, reducing the number of doses taken, increasing patient adherence, preventing ADRs, improving patient quality of life and decreasing facility and drug costs.
Shrivastava R.,Sagar Institute of Research Technology and Science
Proceedings of the 2015 International Conference on Green Computing and Internet of Things, ICGCIoT 2015 | Year: 2015
It is well known that developers and professionals do not agree on common factors that derive quality of software. Therefore it is appropriate to apply group decision taking to rank quality factors of software. The present research considers three decision takers, viz., users, developers and professionals to decide ranking of quality factors. In this process, each decision maker provides his/her intuitionistic fuzzy preference values rather than exact values for each factor. These preference values are aggregated using averaging operator, which is further aggregated using weighted arithmetic averaging operator. Finally eight considered factors are ranked. © 2015 IEEE.
Baghmar D.,Sagar Institute of Research Technology and Science
Phase Transitions | Year: 2013
The structural phase transformations in various phases (monoclinic, ortho I, ortho II, and tetragonal) of zirconia (ZrO2) have been investigated using an effective interionic interaction potential. The cohesive energy, the equation of state, and the elastic properties of these phases have also been studied and found to reproduce well the experimentally observed data for almost all the phases of zirconia ceramics. © 2013 Taylor and Francis Group, LLC.
Thakur R.K.,Barkatullah University |
Thakur R.K.,Sagar Institute of Research Technology and Science |
Thakur R.,Barkatullah University |
Kaurav N.,Government Holkar Science College |
And 2 more authors.
Advanced Materials Research | Year: 2014
We report the structural and thermo-power measurement of the ruthenium doped YMnO3 compounds. The room temperature XRD study shows the single phase formation of the reported compounds with the incremental unit cell volume and lattice parameters attributed to the larger ionic radius of the Ru3+ (0.68 Å) and Ru4+ (0.62 Å) as compared with that of the Mn3+ (0.65 Å)-Mn4+ (0.52 Å). The observed variation of lattice parameters provides us valuable information into the better consideration of the valence state of ruthenium, in these compounds. The thermo-power measurement reveals hole-like conduction mechanism for the thermo-electric transport. © (2014) Trans Tech Publications, Switzerland.