13 research outputs found

    Development of Java based graphical user interface for Diagnosis of Hepatitis UsingI Mixture of Expert

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    Hepatitis is deadly, and the fifth leading cause of death after heart disease, stroke, chest disease and cancer. Worldwide, 1.5 million deaths per year have been estimated. Detection of hepatitis is a big problem for general practitioners. An expert doctor commonly makes decisions by evaluating the current test results of a patient or by comparing the patient with others with the same condition with reference to the previous decisions. Many machine learning and data mining techniques have been designed for the automatic diagnosis of hepatitis. However, no one tool is available to the general population for the diagnosis of Hepatitis. Hence, a graphical user interface-enabled tool needs to be developed, through which medical practitioners can feed patient data easily and find hepatitis diagnoses instantly and accurately. 
Methods: In this study a hepatitis dataset was taken from the UCI machine repository database with a total of 20 attributes of two classes, Affected and Not Affected. 
Results and Conclusion: The models have been generated with a mixture of experts as a classification method for the diagnosis of hepatitis. Very good accuracy has been observed in the generated models. Finally, the model having the least minimum square error was selected. This model was then linked with GUI for the design of tools for hepatitis prediction

    Genetic variation among species, races, forms and inbred lines of lac insects belonging to the genus Kerria (Homoptera, Tachardiidae)

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    The lac insects (Homoptera: Tachardiidae), belonging to the genus Kerria, are commercially exploited for the production of lac. Kerria lacca is the most commonly used species in India. RAPD markers were used for assessing genetic variation in forty-eight lines of Kerria, especially among geographic races, infrasubspecific forms, cultivated lines, inbred lines, etc., of K. lacca. In the 48 lines studied, the 26 RAPD primers generated 173 loci, showing 97.7% polymorphism. By using neighbor-joining, the dendrogram generated from the similarity matrix resolved the lines into basically two clusters and outgroups. The major cluster, comprising 32 lines, included mainly cultivated lines of the rangeeni form, geographic races and inbred lines of K. lacca. The second cluster consisted of eight lines of K. lacca, seven of the kusmi form and one of the rangeeni from the southern state of Karnataka. The remaining eight lines formed a series of outgroups, this including a group of three yellow mutant lines of K. lacca and other species of the Kerria studied, among others. Color mutants always showed distinctive banding patterns compared to their wild-type counterparts from the same population. This study also adds support to the current status of kusmi and rangeeni, as infraspecific forms of K. lacca

    Computational Intelligence in Early Diabetes Diagnosis: A Review

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    Screening of root nodule bacteria for the production of polyhydroxyalkanoate (PHA) and the study of parameters influencing the PHA accumulation

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    Twelve polyhydroxyalkanoate (PHA) producing microbes were isolated from root nodules of 8 leguminous plants belonging to two phyla: Proteobacteria and Firmicutes. One of the isolate VK-12 of genus Burkholderia showed the highest PHA accumulation (42% wt/wt) as compared to other isolates in mineral medium. The effect of different cultural and growth conditions were studied on isolate VK-12 in shake flasks for highest PHA accumulation. VK-12 showed highest PHA accumulation in sucrose and ammonium sulphate amongst other carbon and nitrogen sources tested in the medium. The medium containing sucrose and ammonium sulphate having C: N ratio of 39.72 gave the highest PHA accumulation. The optimum pH, temperature, inoculum concentration and incubation time for highest PHA accumulation were 7.0, 30°C, 10% and 48 h respectively. An overall increase in PHA accumulation from 42 to 63% wt/wt was obtained under optimised conditions. The PHA was characterised using gas chromatography-mass spectrometry (GC-MS). All the isolates produced poly (3-hydroxybutyrate) (PHB) except VK-9, which produced polymer poly (3-hydroxybutyrate-co-3-hydroxyvalerate).Keywords: Polyhydroxyalkanoate (PHA), PHB-co-HV, root nodule bacteria, carbon sources, C: N ratio, characterization of PH

    Next generation sequencing and transcriptome analysis for identification of ARF and Aux/IAA in pointed gourd (Trichosanthes dioica Roxb.), a non-model plant

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    The Pointed gourd (Trichosanthes dioica Roxb.) belonging to the family Cucurbitaceae is a tropical perennial vegetable with an origin in the Indian subcontinent. There is a lack of genetic information for this commercially important cucurbit. A comprehensive transcriptome analysis of the T. dioica Roxb. ovary was carried out in this study. The BLAST-hits analysis of significantly annotated CDS of both samples revealed that pointed gourd is significantly related to cucumber (Cucumis sativus). A total of 10,996 annotated CDS was commonly identified in both samples. Notably, 1,859 CDS were found significantly down-regulated while 1,194 CDS were found up- regulated. 904 CDS of 1DBP and 971 CDS of 2DAF were identified to have SSRs. The auxin-dependent phe- nomenon in plant physiology, auxin signaling, is primarily regulated by transcription factors, such as ARF and Aux/IAA. The in-silico studies were carried out to identify the transcripts of ARFs and IAAs in T. dioica Roxb. A total of 48 ARF transcripts and 37 Aux/IAA transcripts were identified and named as TdARFs and TdIAAs, respectively. The peptides of TdARFs and TdIAAs are distributed in clusters to show similarity and evolutionary divergence. More than 70% of the peptide sequences derived from CDS of TdARFs and TdIAAs have their signature domains. The sub-cellular localization predicted that TdARF and TdIAA were found mainly in the nucleus. This study will pave the way further for elucidating the precise role of these transcription factors in auxin signaling and subsequent genetic manipulations for crop improvement. Additionally, the data sets gathered from whole transcriptome sequencing and analysis are useful resources for further studies regarding molecular genetics and functional genomics of T. dioica Roxb
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