J Biomed Inform - Not just data: a method for improving prediction with knowledge.

Tópicos

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

Resumo

Many medical conditions are only indirectly observed through symptoms and tests. Developing predictive models for such conditions is challenging since they can be thought of as 'latent' variables. They are not present in the data and often get confused with measurements. As a result, building a model that fits data well is not the same as making a prediction that is useful for decision makers. In this paper, we present a methodology for developing Bayesian network (BN) models that predict and reason with latent variables, using a combination of expert knowledge and available data. The method is illustrated by a case study into the prediction of acute traumatic coagulopathy (ATC), a disorder of blood clotting that significantly increases the risk of death following traumatic injuries. There are several measurements for ATC and previous models have predicted one of these measurements instead of the state of ATC itself. Our case study illustrates the advantages of models that distinguish between an underlying latent condition and its measurements, and of a continuing dialogue between the modeller and the domain experts as the model is developed using knowledge as well as data.

Resumo Limpo

mani medic condit indirect observ symptom test develop predict model condit challeng sinc can thought latent variabl present data often get confus measur result build model fit data well make predict use decis maker paper present methodolog develop bayesian network bn model predict reason latent variabl use combin expert knowledg avail data method illustr case studi predict acut traumat coagulopathi atc disord blood clot signific increas risk death follow traumat injuri sever measur atc previous model predict one measur instead state atc case studi illustr advantag model distinguish under latent condit measur continu dialogu model domain expert model develop use knowledg well data

Resumos Similares

BMC Med Inform Decis Mak - Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population. ( 0,76590701806922 )
J Am Med Inform Assoc - An improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors. ( 0,756137436666817 )
Comput Math Methods Med - Variable selection in ROC regression. ( 0,752637344364205 )
Lifetime Data Anal - Understanding increments in model performance metrics. ( 0,748930617986334 )
Appl Clin Inform - Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department. ( 0,738948445187069 )
J Biomed Inform - Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches. ( 0,738372354567006 )
J. Comput. Biol. - Prediction of siRNA potency using sparse logistic regression. ( 0,736015192008789 )
J Med Syst - Classifying hospitals as mortality outliers: logistic versus hierarchical logistic models. ( 0,734315870726825 )
J Clin Monit Comput - Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery. ( 0,728082074656698 )
J Chem Inf Model - Two new parameters based on distances in a receiver operating characteristic chart for the selection of classification models. ( 0,72621704459447 )
Comput. Biol. Med. - A ternary model of decompression sickness in rats. ( 0,725258650311655 )
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. ( 0,724565529402809 )
BMC Med Inform Decis Mak - Evaluation of prediction models for the staging of prostate cancer. ( 0,720375657882487 )
Comput Methods Programs Biomed - Exploring an optimal vector autoregressive model for multi-channel pulmonary sound data. ( 0,71952445691866 )
Med Biol Eng Comput - Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. ( 0,719195462534104 )
IEEE J Biomed Health Inform - The effect of sample age and prediction resolution on myocardial infarction risk prediction. ( 0,718206982564973 )
Med Decis Making - A comparison of methods for converting DCE values onto the full health-dead QALY scale. ( 0,715523299008586 )
Comput. Biol. Med. - Pre-operative prediction of surgical morbidity in children: comparison of five statistical models. ( 0,714353776843085 )
J Biomed Inform - Statistical process control for validating a classification tree model for predicting mortality--a novel approach towards temporal validation. ( 0,71391060742953 )
Med Decis Making - Application of an artificial neural network to predict postinduction hypotension during general anesthesia. ( 0,710568203692399 )
Methods Inf Med - Limited sampling strategies to estimate the area under the concentration-time curve. Biases and a proposed more accurate method. ( 0,699629685384877 )
Comput. Biol. Med. - A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. ( 0,699473649818125 )
Int J Med Inform - Application of data mining to the identification of critical factors in patient falls using a web-based reporting system. ( 0,697057324998037 )
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. ( 0,696267489395248 )
BMC Med Inform Decis Mak - Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. ( 0,689204891420268 )
J Clin Monit Comput - Variations in the pre-ejection period induced by ventricular extra systoles may be feasible to predict fluid responsiveness. ( 0,688493948314285 )
Comput Methods Programs Biomed - Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection. ( 0,687410490816413 )
Neural Comput - An extension of the receiver operating characteristic curve and AUC-optimal classification. ( 0,686074055642756 )
J Clin Monit Comput - Prediction of hypotension in the beach chair position during shoulder arthroscopy using pre-operative hemodynamic variables. ( 0,685070733131784 )
Comput Math Methods Med - Prediction of BP reactivity to talking using hybrid soft computing approaches. ( 0,684336728976978 )
Comput Math Methods Med - Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. ( 0,683918126274179 )
IEEE Trans Image Process - Network-based H.264/AVC whole frame loss visibility model and frame dropping methods. ( 0,682799665605614 )
AMIA Annu Symp Proc - Predicting Surgical Risk: How Much Data is Enough? ( 0,67996496034674 )
Artif Intell Med - Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method. ( 0,677631602433981 )
Comput Methods Programs Biomed - Development of a daily mortality probability prediction model from Intensive Care Unit patients using a discrete-time event history analysis. ( 0,676466093124579 )
BMC Med Inform Decis Mak - Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model. ( 0,67441836756096 )
Int J Health Geogr - Prediction of high-risk areas for visceral leishmaniasis using socioeconomic indicators and remote sensing data. ( 0,672995765308036 )
Med Decis Making - Adaptation of clinical prediction models for application in local settings. ( 0,672288911352615 )
Med Decis Making - Lehmann family of ROC curves. ( 0,672104564136032 )
Brief. Bioinformatics - Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them). ( 0,667472002647914 )
BMC Med Inform Decis Mak - Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model. ( 0,664082464449547 )
Med Biol Eng Comput - A dynamic Bayesian network for estimating the risk of falls from real gait data. ( 0,66293430760195 )
Appl Clin Inform - Exploring the value of clinical data standards to predict hospitalization of home care patients. ( 0,66049470536731 )
J Med Syst - A meta-composite software development approach for translational research. ( 0,65986174918406 )
Med Biol Eng Comput - System identification of the mechanomyogram from single motor units during voluntary isometric contraction. ( 0,656584120370439 )
Methods Inf Med - Classification of postural profiles among mouth-breathing children by learning vector quantization. ( 0,655589368763786 )
Med Decis Making - Performance of a mathematical model to forecast lives saved from HIV treatment expansion in resource-limited settings. ( 0,653190112703782 )
Brief. Bioinformatics - Adjusting confounders in ranking biomarkers: a model-based ROC approach. ( 0,649416775760797 )
J Chem Inf Model - Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis. ( 0,649126762198636 )
BMC Med Inform Decis Mak - Bayesian predictors of very poor health related quality of life and mortality in patients with COPD. ( 0,64877116092664 )
Spat Spatiotemporal Epidemiol - Supervised learning and prediction of spatial epidemics. ( 0,64382024377378 )
BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,642989150928889 )
J Biomed Inform - Prediction of influenza vaccination outcome by neural networks and logistic regression. ( 0,641872323993163 )
BMC Med Inform Decis Mak - A novel differential diagnostic model based on multiple biological parameters for immunoglobulin A nephropathy. ( 0,640428990470963 )
BMC Med Inform Decis Mak - Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies. ( 0,639643225435477 )
Spat Spatiotemporal Epidemiol - Modeling habitat suitability for occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry in Asia: a spatial multicriteria decision analysis approach. ( 0,639440694527072 )
J Med Syst - Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing. ( 0,638517169372552 )
Methods Inf Med - A probabilistic model to investigate the properties of prognostic tools for falls. ( 0,637679487398263 )
J Chem Inf Model - Ligand efficiency-based support vector regression models for predicting bioactivities of ligands to drug target proteins. ( 0,637588642455802 )
IEEE Trans Image Process - DEB: definite error bounded tangent estimator for digital curves. ( 0,636634268292908 )
AMIA Annu Symp Proc - Decision path models for patient-specific modeling of patient outcomes. ( 0,635354267918351 )
J Am Med Inform Assoc - Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology. ( 0,635152896793988 )
Comput Math Methods Med - A patient-specific airway branching model for mechanically ventilated patients. ( 0,631136834598817 )
J Am Med Inform Assoc - Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease. ( 0,623697337754495 )
Artif Intell Med - Multilevel Bayesian networks for the analysis of hierarchical health care data. ( 0,622953423125569 )
BMC Med Inform Decis Mak - Artificial neural network aided non-invasive grading evaluation of hepatic fibrosis by duplex ultrasonography. ( 0,622726032030903 )
BMC Med Inform Decis Mak - Use of outcomes to evaluate surveillance systems for bioterrorist attacks. ( 0,621782622199237 )
Artif Intell Med - Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers. ( 0,62068249633116 )
Comput Math Methods Med - Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data. ( 0,620651785929483 )
AMIA Annu Symp Proc - Development and implementation of a real-time 30-day readmission predictive model. ( 0,619604959470012 )
J Biomed Inform - An empirical approach to model selection through validation for censored survival data. ( 0,616693905776397 )
J Biomed Inform - Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content. ( 0,616157572972054 )
BMC Med Inform Decis Mak - Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups. ( 0,614565829502446 )
Med Decis Making - Constructing proper ROCs from ordinal response data using weighted power functions. ( 0,614536242796945 )
Spat Spatiotemporal Epidemiol - Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. ( 0,61448800004097 )
Methods Inf Med - Sensor-based fall risk assessment--an expert 'to go'. ( 0,612395150516728 )
J Biomed Inform - Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data. ( 0,606595759017908 )
Med Biol Eng Comput - Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks. ( 0,606478093180415 )
Med Decis Making - Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. ( 0,606411748090689 )
Neural Comput - A graphical model framework for decoding in the visual ERP-based BCI speller. ( 0,605919647840258 )
BMC Med Inform Decis Mak - Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study. ( 0,604889295163967 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,60332729988372 )
Lifetime Data Anal - Estimating improvement in prediction with matched case-control designs. ( 0,602846010056044 )
J Clin Monit Comput - A case of anastomosis malposition of the Blalock-Taussig shunt diagnosed using perioperative transesophageal echocardiography monitoring. ( 0,602539343895266 )
J Biomed Inform - Towards probabilistic decision support in public health practice: predicting recent transmission of tuberculosis from patient attributes. ( 0,600881981471689 )
Comput Methods Programs Biomed - Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. ( 0,59953141370249 )
Int J Health Geogr - Assessing the effects of variables and background selection on the capture of the tick climate niche. ( 0,599217735425844 )
AMIA Annu Symp Proc - Developing predictive models using electronic medical records: challenges and pitfalls. ( 0,598638936486584 )
Comput. Biol. Med. - Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain. ( 0,597846547786007 )
Med Decis Making - Contrasting two frameworks for ROC analysis of ordinal ratings. ( 0,595665210415447 )
Comput Math Methods Med - Iterative reweighted noninteger norm regularizing SVM for gene expression data classification. ( 0,593837196640921 )
Artif Intell Med - Operation room tool handling and miscommunication scenarios: an object-process methodology conceptual model. ( 0,593802961373603 )
Artif Intell Med - Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. ( 0,588342364375895 )
Artif Intell Med - Artificial metaplasticity prediction model for cognitive rehabilitation outcome in acquired brain injury patients. ( 0,587631895836915 )
AMIA Annu Symp Proc - Utility of a clinical support tool for outpatient evaluation of pediatric chest pain. ( 0,586712118503846 )
IEEE J Biomed Health Inform - Prediction of periventricular leukomalacia occurrence in neonates after heart surgery. ( 0,586298401749052 )
J Biomed Inform - EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning. ( 0,58528311205004 )
J Biomed Inform - Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data. ( 0,583301828684124 )
J Am Med Inform Assoc - Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. ( 0,581301793187909 )
Comput Biol Chem - An ensemble method for prediction of conformational B-cell epitopes from antigen sequences. ( 0,57798481370028 )