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| 1 | Clustering and its validation in a symbolic framework显示文摘 | Kalyani M Sushmita M | 2003 | Pattern Recognition Letters2003，24，： | 1 |
| 2 | Satellite image segmentation with ShadowedC-Means显示文摘 | Sushmita M Partha P | 2011 | Information Sciences2011，181，： | 1 |
| 3 | Three second chromosome-linked clustered Cyp6genes show differential constitutive and barbital-in-duced expression in DDT-resistant and susceptiblestrains of Drosophila melanogaster显示文摘 | Sushmita M Dombrowski SM Waters LC | 1996 | Gene1996，180，12： | 1 |
| 4 | Rough-fuzzy mlp:modular evolution, rule generation, and evaluation显示文摘 | Sankar K P Sushmita M Pabitra M | 2003 | 14IEEE Transactions on Knowledge and Data Engineering2003，15，1： | 1 |
| 5 | Rough Fuzzy MLP:Knowledge Encoding and Classification显示文摘 | Mohua B SuShmita M Sankar K P | 1998 | IEEE Transaction on Neural Networks1998，6，9： | 1 |
| 6 | Suppression subtractive hybridization coupled with microarray analysis to examine differential expression of genes in virus infected cells显示文摘 | SHIRIN M SUSHMITA S KULJEET K | 2004 | Biol Proced Online2004，，6： | 1 |
| 7 | Three second chromosome- linked clustered Cyp6 genes show differential constitutive and barbital - in - duced expression in DDT - resistant and susceptible strains of Drosophila melanogaster 显示文摘 | Sushmita M Dombrowski SM Waters LC | 1996 | Gene1996，180，12： | 1 |
| 8 | Clustering and its validation in a symbolic framework显示文摘 | Kalyani M Sushmita M | 2003 | Pattern Recognition Letters2003，24，14： | 1 |
| 9 | Gesture recognition: a survey显示文摘 | Sushmita M Tinku A | 2007 | IEEE Transactions on Systems Man and Cybernetics2007，37，3： | 1 |
| 10 | Multi-layer Perceptron, Fuzzy Sets and Classification显示文摘 | Sankar K P Sushmita M | 1992 | IEEE Trans on Neural Networks1992，3，5： | 1 |
| 11 | Gesture recognition: a survey显示文摘 | SUSHMITA M TINKU A | 2007 | IEEE Transactions on Systems Man and Cybernetics PART C: Applications and Re views2007，37，3： | 1 |
| 12 | Clustering and its validation in a symbolic framework显示文摘 | Kalyani M Sushmita M | 2003 | Pattern Recognition Letters2003，24，14： | 1 |
| 13 | Web Mining: A Survey in the Fuzzy Framework显示文摘 | Dragos A Sushmita M | 2004 | Fuzzy Sets and System2004，148，： | 1 |
| 14 | Evolutionary rough feature selection in gene expression data 显示文摘 | MOHUA B SUSHMITA M HAIDER B | 2007 | IEEE Transaction on Systems Man and Cybernetics-- Part C: Applications and Reviews2007，37，4： | 1 |
| 15 | Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation显示文摘 | Sankar K Sushmita M | 2003 | IEEE Transactions on Knowledge and Data Engineering2003，16，1： | 1 |
| 16 | Rough-fuzzy collaborative clustering 显示文摘 | SUSHMITA M HAIDER B | 2006 | IEEE Transactions on Systems Man and Cybernetics2006，36，4： | 1 |
| 17 | Fuzzy sets in pattern recognition and machine intelligence显示文摘 | Sushmita M Sankar K P | 2005 | Fuzzy Sets and Systems2005，156，3： | 1 |
| 18 | Gesture Recognition:A Survey显示文摘 | Sushmita M Tinku A | 2007 | IEEE Transactions on Systems MAN and Cybernetics-Part C:A pplications and Reviews2007，37，3： | 1 |
| 19 | Use of inflammatory markers as predictor for mechanical ventilation in COVID-19 patients with stagesⅢb-Ⅴchronic kidney disease?显示文摘BACKGROUND Studies have shown elevated C-reactive protein(CRP)to predict mechanical ventilation(MV)in patients with coronavirus disease 2019(COVID-19).Its utility is unknown in patients with chronic kidney disease(CKD),who have elevated baseline CRP levels due to chronic inflammation and reduced renal clearance.AIM To assess whether an association exists between elevated inflammatory markers and MV rate in patients with stagesⅢb-ⅤCKD and COVID-19.METHODS We conducted a retrospective cohort study on patients with COVID-19 and stagesⅢb-ⅤCKD.The primary outcome was the rate of invasive MV,the rate of noninvasive MV,and the rate of no MV.Statistical analyses used unpaired t-test for continuous variables and chi-square analysis for categorical variables.Cutoffs for variables were CRP:100 mg/L,ferritin:530 ng/mL,D-dimer:0.5 mg/L,and lactate dehydrogenase(LDH):590 U/L.RESULTS 290 were screened,and 118 met the inclusion criteria.CRP,D-dimer,and ferritin were significantly different among the three groups.On univariate analysis for invasive MV(IMV),CRP had an odds ratio(OR)-5.44;ferritin,OR-2.8;LDH,OR-7.7;D-dimer,OR-3.9,(P<0.05).The admission CRP level had an area under curve-receiver operator characteristic(AUROC):0.747 for the IMV group(sensitivity-80.8%,specificity-50%)and 0.663 for the non-IMV(NIMV)group(area under the curve,sensitivity-69.2%,specificity-53%).CONCLUSION Our results demonstrate a positive correlation between CRP,ferritin,and D-dimer levels and MV and NIMV rates in CKD patients.The AUROC demonstrates a good sensitivity for CRP levels in detecting the need for MV in patients with stagesⅢb-ⅤCKD.This may be because of the greater magnitude of increased inflammation due to COVID-19 itself compared with increased inflammation and reduced clearance due to CKD alone. | Harinivaas Shanmugavel Geetha Sushmita Prabhu Abinesh Sekar Maya Gogtay Yuvaraj Singh Ajay K Mishra George M Abraham Suzanne Martin | 2023 | World Journal of Virology2023，12，5： | 0 |
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