IEEE J Biomed Health Inform - Novel fractal feature-based multiclass glaucoma detection and progression prediction.

Tópicos

{ featur(3375) classif(2383) classifi(1994) }
{ model(2341) predict(2261) use(1141) }
{ signal(2180) analysi(812) frequenc(800) }
{ method(1969) cluster(1462) data(1082) }
{ framework(1458) process(801) describ(734) }
{ imag(2830) propos(1344) filter(1198) }
{ measur(2081) correl(1212) valu(896) }
{ network(2748) neural(1063) input(814) }
{ chang(1828) time(1643) increas(1301) }
{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
{ studi(1119) effect(1106) posit(819) }
{ intervent(3218) particip(2042) group(1664) }
{ use(2086) technolog(871) perceiv(783) }
{ can(774) often(719) complex(702) }
{ imag(1057) registr(996) error(939) }
{ problem(2511) optim(1539) algorithm(950) }
{ learn(2355) train(1041) set(1003) }
{ method(1557) propos(1049) approach(1037) }
{ studi(1410) differ(1259) use(1210) }
{ perform(999) metric(946) measur(919) }
{ monitor(1329) mobil(1314) devic(1160) }
{ group(2977) signific(1463) compar(1072) }
{ time(1939) patient(1703) rate(768) }
{ model(3404) distribut(989) bayesian(671) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ error(1145) method(1030) estim(1020) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ search(2224) databas(1162) retriev(909) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

We investigate the use of fractal analysis (FA) as the basis of a system for multiclass prediction of the progression of glaucoma. FA is applied to pseudo two-dimensional images converted from one-dimensional retinal nerve fiber layer (RNFL) data obtained from the eyes of normal subjects, and from subjects with progressive and non-progressive glaucoma. FA features are obtained using a box-counting method and a multi-fractional Brownian motion method that incorporates texture and multiresolution analyses. Both features are used for Gaussian kernel-based multiclass classification. Sensitivity, specificity, and area under receiver operating characteristic curve (AUROC) are computed for the FA features and for metrics obtained using wavelet-Fourier analysis (WFA) and fast-Fourier analysis (FFA). The AUROCs that predict progressors from non-progressors based on classifiers trained using a dataset comprised of non-progressors and ocular normal subjects are 0.70, 0.71 and 0.82 for WFA, FFA, and FA, respectively. The correct multiclass classification rates among progressors, non-progressors, and ocular normal subjects are 0.82, 0.86 and 0.88 for WFA, FFA, and FA, respectively. Simultaneous multiclass classification among progressors, non-progressors, and ocular normal subjects has not been previously described. The novel FA-based features achieve better performance with fewer features and less computational complexity than WFA and FFA.

Resumo Limpo

investig use fractal analysi fa basi system multiclass predict progress glaucoma fa appli pseudo twodimension imag convert onedimension retin nerv fiber layer rnfl data obtain eye normal subject subject progress nonprogress glaucoma fa featur obtain use boxcount method multifract brownian motion method incorpor textur multiresolut analys featur use gaussian kernelbas multiclass classif sensit specif area receiv oper characterist curv auroc comput fa featur metric obtain use waveletfouri analysi wfa fastfouri analysi ffa auroc predict progressor nonprogressor base classifi train use dataset compris nonprogressor ocular normal subject wfa ffa fa respect correct multiclass classif rate among progressor nonprogressor ocular normal subject wfa ffa fa respect simultan multiclass classif among progressor nonprogressor ocular normal subject previous describ novel fabas featur achiev better perform fewer featur less comput complex wfa ffa

Resumos Similares

BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,841499917577782 )
J Med Syst - Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders. ( 0,807503675440042 )
Comput Methods Programs Biomed - Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. ( 0,77956690768955 )
BMC Med Inform Decis Mak - Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes. ( 0,757283619002661 )
Comput Math Methods Med - Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion. ( 0,75712194255026 )
Comput Methods Programs Biomed - Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set. ( 0,755834221357594 )
Int J Neural Syst - Application of quantum-behaved particle swarm optimization to motor imagery EEG classification. ( 0,74718504845861 )
Comput Math Methods Med - Iterative reweighted noninteger norm regularizing SVM for gene expression data classification. ( 0,743489132871113 )
Comput Methods Programs Biomed - ThyroScreen system: high resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform. ( 0,741310377022444 )
Comput Methods Programs Biomed - Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal. ( 0,740702515212358 )
IEEE J Biomed Health Inform - Classification of color images of dermatological ulcers. ( 0,738963744530364 )
Artif Intell Med - Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples. ( 0,738807390011033 )
J Med Syst - Applying cybernetic technology to diagnose human pulmonary sounds. ( 0,738338217595173 )
J Med Syst - Diagnosing breast masses in digital mammography using feature selection and ensemble methods. ( 0,732814885561697 )
Comput Methods Programs Biomed - Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines. ( 0,726860101379414 )
BMC Med Inform Decis Mak - A three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case study. ( 0,726622101877696 )
J Med Syst - An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method. ( 0,715040422273571 )
Methods Inf Med - An experimental evaluation of boosting methods for classification. ( 0,715034782986713 )
Comput. Biol. Med. - Breast-cancer identification using HMM-fuzzy approach. ( 0,711668204468237 )
Comput Methods Programs Biomed - Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance. ( 0,708240874587592 )
J Med Syst - An integrated index for the identification of diabetic retinopathy stages using texture parameters. ( 0,706720675348 )
Int J Neural Syst - Automated diagnosis of epilepsy using CWT, HOS and texture parameters. ( 0,705146877174252 )
Comput. Biol. Med. - Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines. ( 0,703660463962978 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,699778267466208 )
Med Biol Eng Comput - Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. ( 0,698416306983101 )
Comput. Biol. Med. - Statistical model based 3D shape prediction of postoperative trunks for non-invasive scoliosis surgery planning. ( 0,695974170625462 )
J Am Med Inform Assoc - A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. ( 0,691702214143319 )
IEEE J Biomed Health Inform - Computer-aided staging of lymphoma patients with FDG PET/CT imaging based on textural information. ( 0,691583166394386 )
Int J Neural Syst - Comparison of ictal and interictal EEG signals using fractal features. ( 0,691211773444322 )
J Med Syst - A new approach: role of data mining in prediction of survival of burn patients. ( 0,688148901472493 )
Comput. Biol. Med. - Ant colony optimization-based feature selection method for surface electromyography signals classification. ( 0,687369080382472 )
AMIA Annu Symp Proc - Application of Bayesian logistic regression to mining biomedical data. ( 0,686340190951137 )
J Biomed Inform - An empirical approach to model selection through validation for censored survival data. ( 0,685600010790235 )
J Digit Imaging - Computer-aided detection of architectural distortion in prior mammograms of interval cancer. ( 0,683184183683876 )
Comput Methods Programs Biomed - Classification of the electrocardiogram signals using supervised classifiers and efficient features. ( 0,680868786973733 )
Artif Intell Med - Improving the accuracy of suicide attempter classification. ( 0,675464419415087 )
J Med Syst - Detection of carotid artery disease by using Learning Vector Quantization Neural Network. ( 0,675253765416691 )
Comput Methods Programs Biomed - Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal. ( 0,675124746008829 )
J Am Med Inform Assoc - Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers. ( 0,674890741943566 )
Comput Methods Programs Biomed - Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients. ( 0,668077615397008 )
J Med Syst - SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease. ( 0,667176477432235 )
IEEE Trans Image Process - Efficient image classification via multiple rank regression. ( 0,665315240286443 )
Comput. Biol. Med. - Keratin protein property based classification of mammals and non-mammals using machine learning techniques. ( 0,663764280468979 )
J Med Syst - Classification of normal and diseased liver shapes based on Spherical Harmonics coefficients. ( 0,660570779424963 )
Comput. Biol. Med. - Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders. ( 0,659608994141901 )
Comput Biol Chem - Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions. ( 0,658473246654126 )
Comput Methods Programs Biomed - Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering. ( 0,657879370940099 )
Comput. Biol. Med. - Noninvasive detection of mechanical prosthetic heart valve disorder. ( 0,657870769716882 )
AMIA Annu Symp Proc - Automatic Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer's Disease using Structural Magnetic Resonance Imaging. ( 0,657622602478503 )
J Med Syst - Classification of epilepsy using high-order spectra features and principle component analysis. ( 0,655178864270753 )
Comput. Biol. Med. - Feature extraction and recognition of ictal EEG using EMD and SVM. ( 0,653744059520867 )
Med Biol Eng Comput - Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition of the atrial activity and statistical features of the heart rate variability. ( 0,653422794355055 )
Comput Methods Programs Biomed - Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals. ( 0,651374977086171 )
Comput Methods Programs Biomed - Automatic cervical cell segmentation and classification in Pap smears. ( 0,650095180128959 )
Artif Intell Med - Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features. ( 0,649909963291348 )
Med Biol Eng Comput - SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine. ( 0,648216917598871 )
J. Comput. Biol. - Prediction of siRNA potency using sparse logistic regression. ( 0,647875236168634 )
J Am Med Inform Assoc - Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. ( 0,646176956443012 )
Comput. Biol. Med. - Pre-operative prediction of surgical morbidity in children: comparison of five statistical models. ( 0,644772926330203 )
Comput. Biol. Med. - Odorant recognition using biological responses recorded in olfactory bulb of rats. ( 0,644358645364639 )
Comput Math Methods Med - Determination of fetal state from cardiotocogram using LS-SVM with particle swarm optimization and binary decision tree. ( 0,643816839653489 )
Comput. Biol. Med. - Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs. ( 0,643600613891993 )
Med Biol Eng Comput - Optimal features for online seizure detection. ( 0,643509352544516 )
J Med Syst - A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms. ( 0,643409831745909 )
Artif Intell Med - Selective voting in convex-hull ensembles improves classification accuracy. ( 0,643079914453535 )
J Med Syst - Application of higher order spectra to identify epileptic EEG. ( 0,639393278034024 )
Comput Math Methods Med - An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach. ( 0,639357635959981 )
Comput. Biol. Med. - An ensemble system for automatic sleep stage classification using single channel EEG signal. ( 0,637267625662285 )
Int J Neural Syst - Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination. ( 0,636967243858963 )
Comput Methods Programs Biomed - An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms. ( 0,633595962424393 )
Comput Biol Chem - Derivation of an artificial gene to improve classification accuracy upon gene selection. ( 0,633245112024667 )
Artif Intell Med - Comparative analysis of a-priori and a-posteriori dietary patterns using state-of-the-art classification algorithms: a case/case-control study. ( 0,632189216266924 )
Methods Inf Med - Classification of postural profiles among mouth-breathing children by learning vector quantization. ( 0,631405390998744 )
J Clin Monit Comput - Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals. ( 0,631288266395198 )
J Med Syst - Diagnosis of epilepsy from electroencephalography signals using multilayer perceptron and Elman Artificial Neural Networks and Wavelet Transform. ( 0,631096644400849 )
Comput. Biol. Med. - On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation. ( 0,63035025022336 )
Artif Intell Med - White box radial basis function classifiers with component selection for clinical prediction models. ( 0,630301551077356 )
Comput Methods Programs Biomed - Automatic classification of sleep stages based on the time-frequency image of EEG signals. ( 0,629840567301756 )
IEEE J Biomed Health Inform - Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction. ( 0,629377042440509 )
Med Biol Eng Comput - Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features. ( 0,627827833515064 )
J Med Syst - A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases. ( 0,627684661623552 )
J Am Med Inform Assoc - Predicting complications of percutaneous coronary intervention using a novel support vector method. ( 0,627633331647583 )
Comput. Biol. Med. - Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics. ( 0,626617815122855 )
J Clin Monit Comput - Identification of apnea during respiratory monitoring using support vector machine classifier: a pilot study. ( 0,625903225788779 )
Int J Neural Syst - Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy. ( 0,62430751250122 )
J Med Syst - Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing. ( 0,622870981016258 )
J Chem Inf Model - Predictive toxicology modeling: protocols for exploring hERG classification and Tetrahymena pyriformis end point predictions. ( 0,621051104472791 )
Int J Med Robot - A method for identifying otological drill milling through bone tissue wall. ( 0,620599629062964 )
Comput. Biol. Med. - Automatic classification of infant sleep based on instantaneous frequencies in a single-channel EEG signal. ( 0,620139500723948 )
AMIA Annu Symp Proc - Decision path models for patient-specific modeling of patient outcomes. ( 0,61780857386752 )
Artif Intell Med - Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand. ( 0,617626951146893 )
J Am Med Inform Assoc - Automated identification of extreme-risk events in clinical incident reports. ( 0,617542287314474 )
Med Biol Eng Comput - Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. ( 0,614897668078036 )
Med Biol Eng Comput - Evaluation of feature extraction methods for EEG-based brain-computer interfaces in terms of robustness to slight changes in electrode locations. ( 0,614511030467535 )
Med Biol Eng Comput - Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. ( 0,613905577272278 )
Comput Methods Programs Biomed - A random forest classifier for lymph diseases. ( 0,611702176542424 )
Comput Methods Programs Biomed - ECG beat classification using a cost sensitive classifier. ( 0,61164608456412 )
J Med Syst - A robust multi-class feature selection strategy based on Rotation Forest Ensemble algorithm for diagnosis of Erythemato-Squamous diseases. ( 0,611458932675819 )
Comput Methods Programs Biomed - Clustering technique-based least square support vector machine for EEG signal classification. ( 0,611170059063468 )
Comput. Biol. Med. - Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification. ( 0,6102032569804 )