J Med Syst - A new approach: role of data mining in prediction of survival of burn patients.

Tópicos

{ model(2341) predict(2261) use(1141) }
{ featur(3375) classif(2383) classifi(1994) }
{ learn(2355) train(1041) set(1003) }
{ data(1737) use(1416) pattern(1282) }
{ error(1145) method(1030) estim(1020) }
{ patient(1821) servic(1111) care(1106) }
{ measur(2081) correl(1212) valu(896) }
{ medic(1828) order(1363) alert(1069) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
{ clinic(1479) use(1117) guidelin(835) }
{ method(1557) propos(1049) approach(1037) }
{ high(1669) rate(1365) level(1280) }
{ method(2212) result(1239) propos(1039) }
{ system(1976) rule(880) can(841) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ model(3480) simul(1196) paramet(876) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ sampl(1606) size(1419) use(1276) }
{ activ(1138) subject(705) human(624) }
{ analysi(2126) use(1163) compon(1037) }
{ decis(3086) make(1611) patient(1517) }
{ inform(2794) health(2639) internet(1427) }
{ imag(1057) registr(996) error(939) }
{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ spatial(1525) area(1432) region(1030) }
{ state(1844) use(1261) util(961) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ time(1939) patient(1703) rate(768) }
{ use(976) code(926) identifi(902) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ 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) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ 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) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ 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) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ 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) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

The prediction of burn patient survivability is a difficult problem to investigate till present times. In present study a prediction Model for patients with burns was built, and its capability to accurately predict the survivability was assessed. We have compared different data mining techniques to asses the performance of various algorithms based on the different measures used in the analysis of information pertaining to medical domain. Obtained results were evaluated for correctness with the help of registered medical practitioners. The dataset was collected from SRT (Swami Ramanand Tirth) Hospital in India, which is one of the Asia's largest rural hospitals. Dataset contains records of 180 patients mainly suffering from burn injuries collected during period from the year 2002 to 2006. Features contain patients' age, sex and percentage of burn received for eight different parts of the body. Prediction models have been developed through rigorous comparative study of important and relevant data mining classification techniques namely, navie bayes, decision tree, support vector machine and back propagation. Performance comparison was also carried out for measuring unbiased estimate of the prediction models using 10-fold cross-validation method. Using the analysis of obtained results, we show that Navie bayes is the best predictor with an accuracy of 97.78% on the holdout samples, further, both the decision tree and support vector machine (SVM) techniques demonstrated an accuracy of 96.12%, and back propagation technique resulted in achieving accuracy of 95%.

Resumo Limpo

predict burn patient surviv difficult problem investig till present time present studi predict model patient burn built capabl accur predict surviv assess compar differ data mine techniqu ass perform various algorithm base differ measur use analysi inform pertain medic domain obtain result evalu correct help regist medic practition dataset collect srt swami ramanand tirth hospit india one asia largest rural hospit dataset contain record patient main suffer burn injuri collect period year featur contain patient age sex percentag burn receiv eight differ part bodi predict model develop rigor compar studi import relev data mine classif techniqu name navi bay decis tree support vector machin back propag perform comparison also carri measur unbias estim predict model use fold crossvalid method use analysi obtain result show navi bay best predictor accuraci holdout sampl decis tree support vector machin svm techniqu demonstr accuraci back propag techniqu result achiev accuraci

Resumos Similares

J Med Syst - Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing. ( 0,806306274031666 )
J Am Med Inform Assoc - Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. ( 0,770934653968358 )
J Med Syst - Diagnosing breast masses in digital mammography using feature selection and ensemble methods. ( 0,759227270693777 )
Comput Methods Programs Biomed - Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. ( 0,742975961426751 )
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. ( 0,741847344053439 )
Methods Inf Med - An experimental evaluation of boosting methods for classification. ( 0,736783146828598 )
Comput Math Methods Med - Iterative reweighted noninteger norm regularizing SVM for gene expression data classification. ( 0,734708108444357 )
Comput Methods Programs Biomed - Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines. ( 0,731899820286646 )
Methods Inf Med - Classification of postural profiles among mouth-breathing children by learning vector quantization. ( 0,717056066962771 )
Comput. Biol. Med. - Pre-operative prediction of surgical morbidity in children: comparison of five statistical models. ( 0,714373847347243 )
Artif Intell Med - Machine learning of clinical performance in a pancreatic cancer database. ( 0,711950197085941 )
J Am Med Inform Assoc - Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology. ( 0,710283829903704 )
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. ( 0,709747859897707 )
J Am Med Inform Assoc - Predicting complications of percutaneous coronary intervention using a novel support vector method. ( 0,709047871620759 )
J. Comput. Biol. - Prediction of siRNA potency using sparse logistic regression. ( 0,703300800271275 )
Comput Biol Chem - Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions. ( 0,702497251589202 )
J Med Syst - Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms. ( 0,698667497104502 )
Comput Methods Programs Biomed - Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection. ( 0,694542600393003 )
BMC Med Inform Decis Mak - Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups. ( 0,694048592638081 )
Comput Math Methods Med - Prediction of BP reactivity to talking using hybrid soft computing approaches. ( 0,691323011134185 )
J Chem Inf Model - Two new parameters based on distances in a receiver operating characteristic chart for the selection of classification models. ( 0,690262626366376 )
J Biomed Inform - An empirical approach to model selection through validation for censored survival data. ( 0,689306073288 )
IEEE J Biomed Health Inform - Novel fractal feature-based multiclass glaucoma detection and progression prediction. ( 0,688148901472493 )
Artif Intell Med - Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers. ( 0,687635612045796 )
BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,684108296557003 )
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. ( 0,683746374658017 )
J Chem Inf Model - Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis. ( 0,682682191073125 )
J Am Med Inform Assoc - From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system. ( 0,681537606762178 )
Appl Clin Inform - Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department. ( 0,679693635946339 )
Neural Comput - An extension of the receiver operating characteristic curve and AUC-optimal classification. ( 0,679483340710409 )
BMC Med Inform Decis Mak - Predicting disease risks from highly imbalanced data using random forest. ( 0,678897109589521 )
BMC Med Inform Decis Mak - Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population. ( 0,676250794801054 )
Int J Med Inform - Application of data mining to the identification of critical factors in patient falls using a web-based reporting system. ( 0,674652732253933 )
BMC Med Inform Decis Mak - Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model. ( 0,674576333239571 )
J Biomed Inform - Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data. ( 0,673513348689434 )
J Am Med Inform Assoc - An improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors. ( 0,672059318680461 )
Med Decis Making - A comparison of methods for converting DCE values onto the full health-dead QALY scale. ( 0,670907935218708 )
Comput Math Methods Med - Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. ( 0,670336874436519 )
Artif Intell Med - Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method. ( 0,668658814335594 )
IEEE J Biomed Health Inform - Classification of color images of dermatological ulcers. ( 0,666274324790561 )
Comput. Biol. Med. - A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. ( 0,664968190717525 )
BMC Med Inform Decis Mak - Evaluation of prediction models for the staging of prostate cancer. ( 0,662648432343305 )
J Am Med Inform Assoc - A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data. ( 0,660801998972496 )
J Chem Inf Model - Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach. ( 0,657993811482032 )
J Clin Monit Comput - Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery. ( 0,656731168008478 )
Artif Intell Med - Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples. ( 0,656205867459086 )
J Am Med Inform Assoc - Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease. ( 0,65575385089234 )
Comput Methods Programs Biomed - Exploring an optimal vector autoregressive model for multi-channel pulmonary sound data. ( 0,650708266988708 )
Comput Methods Programs Biomed - Computer-aided diagnosis of breast masses using quantified BI-RADS findings. ( 0,644138420015211 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,642046574575393 )
J Biomed Inform - Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches. ( 0,641730657506927 )
J Biomed Inform - Statistical process control for validating a classification tree model for predicting mortality--a novel approach towards temporal validation. ( 0,640920854715382 )
AMIA Annu Symp Proc - Predicting Surgical Risk: How Much Data is Enough? ( 0,640408455279276 )
Comput Methods Programs Biomed - Prediction of postprandial blood glucose under uncertainty and intra-patient variability in type 1 diabetes: a comparative study of three interval models. ( 0,640212878671377 )
Artif Intell Med - White box radial basis function classifiers with component selection for clinical prediction models. ( 0,639980084233212 )
IEEE J Biomed Health Inform - Prediction of periventricular leukomalacia occurrence in neonates after heart surgery. ( 0,638853620691744 )
Comput. Biol. Med. - Breast-cancer identification using HMM-fuzzy approach. ( 0,638318273124144 )
Lifetime Data Anal - Understanding increments in model performance metrics. ( 0,636611144377901 )
J Med Syst - Classifying hospitals as mortality outliers: logistic versus hierarchical logistic models. ( 0,634781057167291 )
IEEE J Biomed Health Inform - The effect of sample age and prediction resolution on myocardial infarction risk prediction. ( 0,634277342401969 )
Comput Methods Programs Biomed - Development of a daily mortality probability prediction model from Intensive Care Unit patients using a discrete-time event history analysis. ( 0,634177695033381 )
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. ( 0,633206647600332 )
BMC Med Inform Decis Mak - Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes. ( 0,63304732746403 )
Med Decis Making - The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes. ( 0,631123047225316 )
Med Decis Making - Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. ( 0,629718872719539 )
Med Biol Eng Comput - Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. ( 0,628921644276311 )
Comput. Biol. Med. - Statistical model based 3D shape prediction of postoperative trunks for non-invasive scoliosis surgery planning. ( 0,628105909532685 )
J Chem Inf Model - Pragmatic approaches to using computational methods to predict xenobiotic metabolism. ( 0,627613743365455 )
Appl Clin Inform - Exploring the value of clinical data standards to predict hospitalization of home care patients. ( 0,62736987368187 )
Methods Inf Med - Sensor-based fall risk assessment--an expert 'to go'. ( 0,623584111800254 )
AMIA Annu Symp Proc - Improving predictions in imbalanced data using Pairwise Expanded Logistic Regression. ( 0,623552147593154 )
Med Decis Making - Application of an artificial neural network to predict postinduction hypotension during general anesthesia. ( 0,623234162908407 )
J Med Syst - Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders. ( 0,62293404465505 )
J Am Med Inform Assoc - Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. ( 0,622748022915443 )
Med Decis Making - Performance of a mathematical model to forecast lives saved from HIV treatment expansion in resource-limited settings. ( 0,621119579881206 )
AMIA Annu Symp Proc - Application of Bayesian logistic regression to mining biomedical data. ( 0,619312472237165 )
BMC Med Inform Decis Mak - Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. ( 0,618059780224912 )
IEEE J Biomed Health Inform - Computer-aided staging of lymphoma patients with FDG PET/CT imaging based on textural information. ( 0,617182328497334 )
Comput Math Methods Med - Variable selection in ROC regression. ( 0,615464808642661 )
AMIA Annu Symp Proc - Decision path models for patient-specific modeling of patient outcomes. ( 0,615062888692055 )
Int J Med Inform - Prediction of hospitalization due to heart diseases by supervised learning methods. ( 0,614782702499665 )
Comput. Biol. Med. - A ternary model of decompression sickness in rats. ( 0,613880922234966 )
AMIA Annu Symp Proc - Automatic annotation of radiological observations in liver CT images. ( 0,613700452957245 )
J Med Syst - An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method. ( 0,609508857790189 )
J Med Syst - Applying cybernetic technology to diagnose human pulmonary sounds. ( 0,608901223423795 )
J Med Syst - An integrated index for the identification of diabetic retinopathy stages using texture parameters. ( 0,608030890358042 )
J Chem Inf Model - Predictive toxicology modeling: protocols for exploring hERG classification and Tetrahymena pyriformis end point predictions. ( 0,606833142967195 )
J Chem Inf Model - Ligand efficiency-based support vector regression models for predicting bioactivities of ligands to drug target proteins. ( 0,606650979816789 )
BMC Med Inform Decis Mak - Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model. ( 0,606127504104419 )
J Digit Imaging - Computer-aided detection of architectural distortion in prior mammograms of interval cancer. ( 0,605632336244378 )
J Biomed Inform - Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content. ( 0,603523093591146 )
Comput Methods Programs Biomed - Machine learning algorithms and forced oscillation measurements applied to the automatic identification of chronic obstructive pulmonary disease. ( 0,601282420617115 )
J Chem Inf Model - SVM classification and CoMSIA modeling of UGT1A6 interacting molecules. ( 0,601055095222055 )
Spat Spatiotemporal Epidemiol - Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. ( 0,597198205706749 )
IEEE Trans Image Process - Network-based H.264/AVC whole frame loss visibility model and frame dropping methods. ( 0,596720850909674 )
J Biomed Inform - Prediction of influenza vaccination outcome by neural networks and logistic regression. ( 0,59244799919313 )
Comput Math Methods Med - An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach. ( 0,591457684778426 )
Comput. Biol. Med. - Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines. ( 0,590999801482067 )
J Am Med Inform Assoc - Applying active learning to supervised word sense disambiguation in MEDLINE. ( 0,590512112832321 )
Med Decis Making - Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting: An Application of Machine Learning Methods. ( 0,59016913106879 )