Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Discriminant Analysis”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 397 records · Page 22Linked to original sources
PubMedDate not supplied

Prediction of operator-binding protein by discriminant analysis.

A number of operator-binding proteins contain similar sequence features to Cro and cI repressors of bacteriophage and CAP protein of Escherichia coli, such as conserved amino acids at constant positions. However, these sequence patterns also occur in proteins that are not operator-binding. We use sequence analogy information in conjunction with a pattern recognition algorithm. The functional and structural properties, e.g., distributions of hydrophobicity, hydrophilicity, charged amino acids, electrostatic free energy, and helical structures of protein are also considered. Within the framework of discriminant analysis, we calculate the above variables and search for a better combination of variables. To assess the discriminatory power of these variables, we allocated additional sequences and predict DNA-binding regions of regulatory proteins not included in the training set.

Algorithms↗
PubMed2004

Determination of anthocyanins in wine by direct injection liquid chromatography-diode array detection-mass spectrometry and classification of wines using discriminant analysis.

A rapid HPLC-diode array detection (DAD) method was developed for the routine analysis of 16 anthocyanins in wine. Direct injection of filtered wine samples followed by selective detection at 520 nm allowed quantitation of these compounds in red wines. The method was linear for malvidin-3-glucoside over the range 5-250ppm, and the limit of detection for this compound was 0.18 ppm. A volatile mobile phase is used, which enables hyphenation to mass spectrometry (MS). With HPLC-MS, a total of 44 pigments could be identified in South African wines. Obtained mass spectra are discussed for a series of representative wine constituents and results are compared with literature references. An attempt was made to differentiate between different cultivars according to the anthocyanin content using stepwise forward linear discriminant analysis (LDA).

Anthocyanins↗
PubMed2003

Prediction of stone disease by discriminant analysis and artificial neural networks in genetic polymorphisms: a new method.

OBJECTIVE: To use information from genetic polymorphisms and from patients (drinking/exercise habits) to identify their association with stone disease, the main analytical and predictive tools being discriminant analysis (DA) and artificial neural networks (ANNs). PATIENTS, SUBJECTS AND METHODS: Urinary stone disease is common in Taiwan; the formation of calcium oxalate stone is reportedly associated with genetic polymorphisms but there are many of these. Genotyping requires many individuals and markers because of the complexity of gene-gene and gene-environmental factor interactions. With the development of artificial intelligence, data-mining tools like ANNs can be used to derive more from patient data in predicting disease. Thus we compared 151 patients with calcium oxalate stones and 105 healthy controls for the presence of four genetic polymorphisms; cytochrome p450c17, E-cadherin, urokinase and vascular endothelial growth factor (VEGF). Information about environmental factors, e.g. water, milk and coffee consumption, and outdoor activities, was also collected. Stepwise DA and ANNs were used as classification methods to obtain an effective discriminant model. RESULTS: With only the genetic variables, DA successfully classified 64% of the participants, but when all related factors (gene and environmental factors) were considered simultaneously, stepwise DA was successful in classifying 74%. The results for DA were best when six variables (sex, VEGF, stone number, coffee, milk, outdoor activities), found by iterative selection, were used. The ANN successfully classified 89% of participants and was better than DA when considering all factors in the model. A sensitivity analysis of the input parameters for ANN was conducted after the ANN program was trained; the most important inputs affecting stone disease were genetic (VEGF), while the second and third were water and milk consumption. CONCLUSIONS: While data-mining tools such as DA and ANN both provide accurate results for assessing genetic markers of calcium stone disease, the ANN provides a better prediction than the DA, especially when considering all (genetic and environmental) related factors simultaneously. This model provides a new way to study stone disease in combination with genetic polymorphisms and environmental factors.

Adult↗
PubMed2005

Corticobasal degeneration and Parkinson's disease assessed by HmPaO SPECT: the utility of factorial discriminant analysis.

The diagnosis of corticobasal degeneration (CBD) is difficult despite the existence of some typical clinical features. Single photon emission computerized tomography (SPECT) in CBD presents an original pattern (with asymmetric hypoperfusion in pre- and retrorolandic regions) that could facilitate the differential diagnosis of CBD relative to the other degenerative parkinsonian syndromes. The objective of our study was to compare the regional cerebral blood flow measurements studied by SPECT in both CBD and Parkinson's disease (PD) using a multivariate procedure. Twenty-one patients with probable CBD and 20 patients with probable PD underwent brain (99m)Tc HmPaO SPECT. We used factorial discriminant analysis (FDA) to study the relative fixation of 26 regions of interest (ROIs) drawn on two transverse slices, together with the asymmetry indexes of 13 pairs of ROIs. FDA performed using the full set of parameters classified all the patients correctly. In order to classify the patients more easily, a predictive score using a selection of parameters was established. The most discriminating ROIs were the temporoinsular, temporoparietal, and frontal medial regions. We believe that this semiautomatic classification may be a precious tool for reinforcing the current clinical differential diagnosis of CBD and PD.

Aged↗
PubMed1988

Discriminant analysis of promoter regions in Escherichia coli sequences.

We have previously developed a general method based on the statistical technique of discriminant analysis to predict splice junctions in eukaryotic mRNA sequences [Nakata, K., Kanehisa, M. and DeLisi, C. (1985) Nucleic Acids Res., 13, 5327-5340]. In order to evaluate further applicability of this method, we now analyze the promoter region of Escherichia coli sequences. The attributes used for discrimination include the accuracy of consensus sequence patterns measured by the perceptron algorithm, the thermal stability map, the base composition and the Calladine-Dickerson rules for helical twist angle, roll angle, torsion angle and propeller twist angle. When applied to selected E. coli sequences in the GenBank database, the method correctly identifies 75% of the true promoter regions.

Algorithms↗
PubMed2006

Discriminant analysis by anthropometric measures in elderly Bengalee Hindus of Calcutta, India.

Although a sizeable proportion of India's population is elderly (55 years and above), virtually no information exists on how well anthropometric measures could be utilized to correct age group size in elderly individuals. The present investigation was aimed to study how good anthropometric measures could be manoeuvre for corrected group size in the elderly Bengalee Hindu population of Calcutta, India. A cross-sectional study was undertaken among 410 elderly (55 years and above) Bengalee Hindu individuals (men = 210, women = 200) utilizing various anthropometric measures, namely height, weight, body mass index (BMI), mid upper arm circumference (MUAC) and triceps skinfold. A discriminant analysis was then undertaken separately for men and women using the above mentioned anthropometric measures. The results revealed that overall 77.1% for men and 78.6% for women of all cases were correctly classified. No individuals were misclassified in the predicted groups III and I for both the sexes. The most discriminating variable for the groups was triceps skinfold in both sexes. These results provided evidence that the anthropometric characteristics of group III and I were very different from each other with those belonging to group II having intermediate characteristics.

Aged↗
PubMed1999

[Discriminant analysis of clinical laboratory data for diagnosis and treatment of tuberculosis and lung cancer].

The study is based on the clinical observation and examination of 33 patients with stages 1 or 2 lung cancer (Group 1), 53 with stage 3 lung cancer (Group 2), and 44 patients with pulmonary tuberculosis (Group 3). All the patients underwent surgical treatment. A control group comprised 50 apparently healthy individuals. The clinical laboratory studies included general peripheral blood analysis of ESR, the levels of hemoglobin, leukocytes, lymphocytes, total protein and albumin. ANOVA revealed a highly significant (p < 0.00004) differences in 5 of the 6 study laboratory parameters, variations in the level of total protein between the groups did not differ from that in the groups (p = 0.25). ANOVA revealed significant covariation of the levels of protein with ESR (p < 0.00004) and those of albumin (p < 0.00004). When variations in the latter were eliminated, the effect of the groups on total protein variation was highly significant (p = 0.0018). Discriminant analysis showed that the parameters studied were of diagnostic value in the differential diagnosis: probabilities of correct subdivision of patients ranged 72.6 to 78%, those of erroneous classification being 27.4 and 22%, respectively. The actual probabilities of misclassification were twofold lower. The problems in the employment of the discriminant procedure in the differential diagnosis of the study diseases using the specific contingent principle are discussed and a specific clinical observation is cited as an example.

Adult↗
PubMed1997

Multivariate discriminant analysis of biochemical parameters for the differentiation of clinically confounding liver diseases.

We describe a series of studies on the contribution of laboratory medicine to the differential diagnosis of clinically confounding diseases in the field of chronic hepatobiliary diseases. Ascitic cholesterol and lactate dehydrogenase (LD), selected by multivariate discriminant analysis (MDA) from a multitude of serum and ascitic analytes, correctly classified 100% of patients with malignant ascites or non-malignant ascites. In addition, ascitic pseudouridine differentiated hepatocarcinoma (HC) from cirrhotic ascites with a diagnostic effectiveness (overall discrimination power) of 90%. A panel of analytes constituted by serum gamma-glutamyltransferase (GGT), the GGT isoenzyme complexed with low- and very low-density lipoprotein, aspartate aminotransferase, copper, hepatic alkaline phosphatase (AP), the LD-5 isoenzyme and alpha-fetoprotein (AFP), selected by the MDA, correctly classified 93% of about 200 cases of cirrhosis or HC. Finally, MDA also identified an equation, based on serum values of the LD-4/LD-5 and carcinoembryonic antigen/AFP ratios, AP and iron that correctly classified 96% of HC or secondary liver neoplasia cases in 100 patients. This approach based on panels of analytes selected by a sophisticated statistical analysis is a rapid and non-invasive contribution to the differential diagnosis of chronic liver disease including neoplasia.

Chemistry, Clinical↗
PubMed1996

Detection of feigned mental disorders on the personality assessment inventory: a discriminant analysis.

Psychological assessment with multiscale inventories is largely dependent on the honesty and forthrightness of those persons evaluated. We investigated the effectiveness of the Personality Assessment Inventory (PAI) in detecting participants feigning three specific disorders: schizophrenia, major depression, and generalized anxiety disorder. With a simulation design, we tested the PAI validity scales on 166 naive (undergraduates with minimal preparation) and 80 sophisticated (doctoral psychology students with 1 week preparation) participants. We compared their results to persons with the designated disorders: schizophrenia (n = 45), major depression (n = 136), and generalized anxiety disorder (n = 40). Although moderately effective with naive simulators, the validity scales evidenced only modest positive predictive power with their sophisticated counterparts. Therefore, we performed a two-stage discriminant analysis that yielded a moderately high hit rate (> 80%) that was maintained in the cross-validation sample, irrespective of the feigned disorder or the sophistication of the simulators.

Adult↗
PubMed1992

The use of discriminant analysis to guide palliative treatment for lung cancer patients.

The aim of this study was to develop a prognostic index for patients with inoperable non-small cell lung cancer which could predict survival to 3 months. This would enable less radiation dose to be given to patients where prognosis is limited by occult metastases, giving rise to less treatment morbidity and raising the therapeutic ratio. Data on 18 known prognostic factors were collected on 96 patients. Performance status, lymphocyte count, weight loss and extent of disease were the most predictive factors and were combined into an index. Logistic discriminant analysis was employed to give a numerical score of likelihood of survival to 3 months, ranging from 0 (not likely) to 1 (certain). In this first set of 96 patients, 16 deaths were observed before 3 months, of which 6 were predicted. There was one false positive prediction. Overall accuracy of prediction was therefore 89% with 99% specificity. The same 4 prognostic factors were measured on a second set of 80 patients. Nineteen died before 3 months, of which 5 were predicted with 2 false positives, giving an overall accuracy of 80% and 97% specificity. A probability of survival of less than or equal to 0.2, although highly specific, was only applicable to 9% of patients and this was the limiting factor in the clinical usefulness of the test. A 16-branch tree diagram allows any patient to be assigned a risk factor based on the four predictive factors at the first clinic attendance. Use of the index could encourage more rational prescribing of radiation dose.

Activities of Daily Living↗
PubMedDate not supplied

[Application of the discriminant analysis for the assessment of human somatotype using the long bones of extremities].

Measurements were made on the basis of the osteological collection of the chair for anthropology, Moscow State University (70 cases), and on the basis of a series of skeletons (10 cases) from among burial places of the Novospassk Monastery (males aged above 18-20). Eleven sizes of Martin program (length, diaphysis circumference and epiphysis width) were fixed onto the humerus, radial, femoral and shin bones. Simultaneously, the development of the osseous relief elements in the above bones (a total of 18 signs in each skeleton) was evaluated by Fedosova program. The data was processed by SPSS. Discriminative analysis was used as a basis to work out a diagnostic model that can be used to determine a somatotype by the humerus, radial and femoral bones. The classification accuracy is 75%. The method should be applied in those cases, when the appropriate bones are available. If the available combination of bones is different from the above, the routine method is recommended for use, i.e. determination of a somatotype by the skeleton massiveness.

Adult↗
PubMed2000

Discriminant analysis of free fatty acids of some Egyptian snails as a step for schistosomiasis control: new trends.

Schistosomiasis is still the most common occupational health problem of rural workers in Egypt. The use of molluscicides, either chemical or biological, and environmental changing are the most successful methods of snail control. The new trend in Schistosoma control programs is to study the ecological factors that attract miracidium Schistosoma specific snails, to emphasizing to find out new environmental safe control methods. Since Schistosoma worms do not make fatty acids de novo, they require host lipids for survival and to complete their life cycle. Discriminate analysis of the estimated free fatty acids was done in this study in Biomphalaria alexandrina, Biomphalaria glabrata, and Bulinus truncatus, viz. Lymnaea truncatula and Physa acuta (Schistosoma intermediate and non-intermediate respectively). With the objective of determination of the biochemical difference that attract the infestation of Schistosoma miracidium to the target snails, as a step of the new control trends. Caprylic acid (C8:0), and Oleic acid (C18:1) are significantly lower in the tissues of Schistosoma intermediate snails compared to the non-intermediate snails. While, Capric acid (C10:0), Margaric acid (C17:0), and Lenoleic acid (C18:2) of the intermediate snails are significantly higher than that of non-intermediate snails. The percent of correct medical classification of snails are more than 80% according to Caprylic acid, Margaric acid, and Lenoleic acid, the other 15 fatty acids are less than 80%. These three free fatty acids could be chemoattractive of Schistosoma miracidium, and could be used as safe environmental control compounds, which needs further research.

Animals↗
PubMed1994

Relationships between risk factors and morphological patterns of human carotid atherosclerotic plaques. A multivariate discriminant analysis.

The histological characterization of the fibroatheromatous plaques and their histogenesis are still to be defined. Factors responsible for the evolution of intimal components and the mechanisms and stages of fibroatheromatous plaque formation are still largely obscure. Focusing on symptomatic plaques, the aim of this study is to determine whether plaque heterogeneity is the result of a haphazard clustering of various components or an organized pattern in response to risk factors. To this end, 180 carotid plaques from patients affected by transient ischemic attacks (TIA) or by stroke, with angiographic stenosis greater than 50%, were studied after endoarterectomy. Clinical and morphological data were collected by means of a pre-defined protocol, quantified and correlated, by using the discriminant analysis, with age, sex, hypertension, diabetes, hypercholesterolemia and smoking habit. Our results show that the relationships between plaque components are non-random and consistent with the knowledge derived from studies on human and experimental plaques. Moreover, some plaque patterns can be significantly correlated with single risk factors. The fibrous plaque was correlated with aging and diabetes; the granulomatous plaque, rich in giant cells, with the female sex and hypertension; the xanthomatous plaque, rich in foam cells and with extensive alcianophilia, with hypercholesterolemia. In the smokers, finally, the plaques were frequently complicated by mural thrombosis.

Adult↗
PubMed2002

Comparing performance of multinomial logistic regression and discriminant analysis for monitoring access to care for acute myocardial infarction.

One way to monitor patient access to emergent health care services is to use patient characteristics to predict arrival time at the hospital after onset of symptoms. This predicted arrival time can then be compared with actual arrival time to allow monitoring of access to services. Predicted arrival time could also be used to estimate potential effects of changes in health care service availability, such as closure of an emergency department or an acute care hospital. Our goal was to determine the best statistical method for prediction of arrival intervals for patients with acute myocardial infarction (AMI) symptoms. We compared the performance of multinomial logistic regression (MLR) and discriminant analysis (DA) models. Models for MLR and DA were developed using a dataset of 3,566 male veterans hospitalized with AMI in 81 VA Medical Centers in 1994-1995 throughout the United States. The dataset was randomly divided into a training set (n = 1,846) and a test set (n = 1,720). Arrival times were grouped into three intervals on the basis of treatment considerations: <6 hours, 6-12 hours, and >12 hours. One model for MLR and two models for DA were developed using the training dataset. One DA model had equal prior probabilities, and one DA model had proportional prior probabilities. Predictive performance of the models was compared using the test (n = 1,720) dataset. Using the test dataset, the proportions of patients in the three arrival time groups were 60.9% for <6 hours, 10.3% for 6-12 hours, and 28.8% for >12 hours after symptom onset. Whereas the overall predictive performance by MLR and DA with proportional priors was higher, the DA models with equal priors performed much better in the smaller groups. Correct classifications were 62.6% by MLR, 62.4% by DA using proportional prior probabilities, and 48.1% using equal prior probabilities of the groups. The misclassifications by MLR for the three groups were 9.5%, 100.0%, 74.2% for each time interval, respectively. Misclassifications by DA models were 9.8%, 100.0%, and 74.4% for the model with proportional priors and 47.6%, 79.5%, and 51.0% for the model with equal priors. The choice of MLR or DA with proportional priors, or DA with equal priors for monitoring time intervals of predicted hospital arrival time for a population should depend on the consequences of misclassification errors.

Aged↗
PubMed1991

Outcome prediction in adult respiratory distress syndrome using discriminant analysis of cardiorespiratory data.

In order to examine the prognostic value of different cardiopulmonary variables in adult respiratory distress syndrome the data of 30 patients with this illness were studied retrospectively. The patients were divided into 3 groups: Group A: survivors (9 cases, 40 examinations), Group B: early stage nonsurvivors (8 cases, 37 examinations), Group C: late stage nonsurvivors (19 cases, 89 examinations). In 6 nonsurvivor patients a few measurements were done in the early and late stage, too. There were highly significant differences between Groups A and C (mean pulmonary arterial pressure, pulmonary arterial diastolic pressure minus pulmonary capillary wedge pressure, left ventricular stroke work index, systemic and pulmonary vascular resistance, inspired oxygen fraction, arterial oxygen tension per inspired oxygen fraction, mixed venous oxygen saturation, pulmonary shunt fraction, and oxygen delivery, but the differences in relation to other groups were less prominent. Using a step-wise discriminant analysis, it was found that the oxygenation parameters alone determined the outcome correctly in 68-75%. Extending the analysis to haemodynamic variables the result improved (72-80%). Similar prediction was obtained when parameters potentionally measurable by noninvasive methods were analysed (69-80%). These results suggest that it is possible to predict the outcome of ARDS correctly without any invasive monitoring technique.

Blood Pressure↗
PubMed1990

Characterization and grouping of Trypanosoma cruzi stocks by DNA base-specific fluorochromes and discriminant analysis.

Fluorochromes with G-C and A-T specificity were used for a single-cell DNA analysis of the blood-stream forms of 14 Trypanosoma cruzi stocks in a cytofluorometric assay. The kinetoplast contained 22.3%-37.9% of the total DNA G-C base content and 42.7%-63.5% of the total DNA A-T base content. In spite of these differences, the mean base A-T/G-C ratio of the total DNA was 1.11 and was nearly constant in all stocks. The G-C base ratio of kinetoplast/nucleus resulted in a grouping corresponding with the peanut agglutinin (PNA)- and wheat germ agglutinin (WGA)-type characteristics of the T. cruzi stocks. The discriminant analysis revealed relationships, in that each stock contained some trypanosomes with DNA fluorescence characteristics of common to at least one other stock. After chromomycin A3 staining, the mean hit rates for the classification into group 1 PNA and the WGA group were 99% and 96%, respectively, and the respective rates obtained after DAPI application were 84% and 94%.

Animals↗
PubMed2003

Detecting pathogenicity islands and anomalous gene clusters by iterative discriminant analysis.

We present a simple method to detect pathogenicity islands and anomalous gene clusters in bacterial genomes. The method uses iterative discriminant analysis to define genomic regions that deviate most from the rest of the genome in three compositional criteria: G+C content, dinucleotide frequency and codon usage. Using this method, we identify many virulence-related gene islands, e.g. encoding protein secretion systems, adhesins, toxins, and other anomalous gene clusters, such as prophages. The program and the whole dataset, including the catalogs of genes in the detected anomalous segments, are publicly available at http://compbio.sibsnet.org/projects/pai-ida/. This program can be used in searching for virulence-related factors in newly sequenced bacterial genomes.

Algorithms↗