BMC Med Inform Decis Mak - Regression tree construction by bootstrap: model search for DRG-systems applied to Austrian health-data.

Tópicos

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

Resumo

CKGROUND: DRG-systems are used to allocate resources fairly to hospitals based on their performance. Statistically, this allocation is based on simple rules that can be modeled with regression trees. However, the resulting models often have to be adjusted manually to be medically reasonable and ethical.METHODS: Despite the possibility of manual, performance degenerating adaptations of the original model, alternative trees are systematically searched. The bootstrap-based method bumping is used to build diverse and accurate regression tree models for DRG-systems. A two-step model selection approach is proposed. First, a reasonable model complexity is chosen, based on statistical, medical and economical considerations. Second, a medically meaningful and accurate model is selected. An analysis of 8 data-sets from Austrian DRG-data is conducted and evaluated based on the possibility to produce diverse and accurate models for predefined tree complexities.RESULTS: The best bootstrap-based trees offer increased predictive accuracy compared to the trees built by the CART algorithm. The analysis demonstrates that even for very small tree sizes, diverse models can be constructed being equally or even more accurate than the single model built by the standard CART algorithm.CONCLUSIONS: Bumping is a powerful tool to construct diverse and accurate regression trees, to be used as candidate models for DRG-systems. Furthermore, Bumping and the proposed model selection approach are also applicable to other medical decision and prognosis tasks.

Resumo Limpo

ckground drgsystem use alloc resourc fair hospit base perform statist alloc base simpl rule can model regress tree howev result model often adjust manual medic reason ethicalmethod despit possibl manual perform degener adapt origin model altern tree systemat search bootstrapbas method bump use build divers accur regress tree model drgsystem twostep model select approach propos first reason model complex chosen base statist medic econom consider second medic meaning accur model select analysi dataset austrian drgdata conduct evalu base possibl produc divers accur model predefin tree complexitiesresult best bootstrapbas tree offer increas predict accuraci compar tree built cart algorithm analysi demonstr even small tree size divers model can construct equal even accur singl model built standard cart algorithmconclus bump power tool construct divers accur regress tree use candid model drgsystem furthermor bump propos model select approach also applic medic decis prognosi task

Resumos Similares

J Chem Inf Model - Time-split cross-validation as a method for estimating the goodness of prospective prediction. ( 0,801725438757012 )
J Chem Inf Model - Optimizing predictive performance of CASE Ultra expert system models using the applicability domains of individual toxicity alerts. ( 0,786617491035712 )
J Chem Inf Model - Analysis and study of molecule data sets using snowflake diagrams of weighted maximum common subgraph trees. ( 0,76997718880121 )
J Chem Inf Model - Experimental and computational prediction of glass transition temperature of drugs. ( 0,768064821536698 )
Artif Intell Med - Training artificial neural networks directly on the concordance index for censored data using genetic algorithms. ( 0,762968839080167 )
J Chem Inf Model - Statistical analysis and compound selection of combinatorial libraries for soluble epoxide hydrolase. ( 0,756142451752787 )
J Chem Inf Model - Three useful dimensions for domain applicability in QSAR models using random forest. ( 0,755860165359373 )
J Chem Inf Model - Beyond the scope of Free-Wilson analysis: building interpretable QSAR models with machine learning algorithms. ( 0,753954983842047 )
AMIA Annu Symp Proc - Effect of data combination on predictive modeling: a study using gene expression data. ( 0,742464186063813 )
J Chem Inf Model - Does rational selection of training and test sets improve the outcome of QSAR modeling? ( 0,740353689515533 )
J Chem Inf Model - Predicting pK(a) values of substituted phenols from atomic charges: comparison of different quantum mechanical methods and charge distribution schemes. ( 0,735202649545742 )
J Chem Inf Model - Pharmacophore assessment through 3-D QSAR: evaluation of the predictive ability on new derivatives by the application on a series of antitubercular agents. ( 0,731357813351889 )
J Chem Inf Model - In silico prediction of total human plasma clearance. ( 0,729948202205658 )
J Chem Inf Model - Binary classification of a large collection of environmental chemicals from estrogen receptor assays by quantitative structure-activity relationship and machine learning methods. ( 0,727759354050331 )
J Chem Inf Model - In silico prediction of aqueous solubility using simple QSPR models: the importance of phenol and phenol-like moieties. ( 0,723263091980937 )
J Chem Inf Model - Coping with unbalanced class data sets in oral absorption models. ( 0,719658834146089 )
J Chem Inf Model - GRID-based three-dimensional pharmacophores II: PharmBench, a benchmark data set for evaluating pharmacophore elucidation methods. ( 0,718962370877991 )
J. Comput. Biol. - The complexity of the dirichlet model for multiple alignment data. ( 0,718342985684308 )
J Chem Inf Model - Revisiting the general solubility equation: in silico prediction of aqueous solubility incorporating the effect of topographical polar surface area. ( 0,717209577187266 )
J Chem Inf Model - Hsp90 inhibitors, part 1: definition of 3-D QSAutogrid/R models as a tool for virtual screening. ( 0,713640845471368 )
J Chem Inf Model - Classification of compounds with distinct or overlapping multi-target activities and diverse molecular mechanisms using emerging chemical patterns. ( 0,709321953927699 )
J Chem Inf Model - iLOGP: a simple, robust, and efficient description of n-octanol/water partition coefficient for drug design using the GB/SA approach. ( 0,706861052104083 )
J Chem Inf Model - Study of chromatographic retention of natural terpenoids by chemoinformatic tools. ( 0,701442125859981 )
BMC Med Inform Decis Mak - Concordance and predictive value of two adverse drug event data sets. ( 0,697167161789789 )
J Chem Inf Model - Design and synthesis of new antioxidants predicted by the model developed on a set of pulvinic acid derivatives. ( 0,687815263904418 )
AMIA Annu Symp Proc - Predicting the dengue incidence in Singapore using univariate time series models. ( 0,687597011360042 )
J Chem Inf Model - Comparison of random forest and Pipeline Pilot Na?ve Bayes in prospective QSAR predictions. ( 0,685045639083755 )
J Chem Inf Model - Applicability Domain ANalysis (ADAN): a robust method for assessing the reliability of drug property predictions. ( 0,680625895034163 )
Curr Comput Aided Drug Des - QSAR Models for the Reactivation of Sarin Inhibited AChE by Quaternary Pyridinium Oximes Based on Monte Carlo Method. ( 0,677360528634266 )
Med Biol Eng Comput - Application of the RIMARC algorithm to a large data set of action potentials and clinical parameters for risk prediction of atrial fibrillation. ( 0,677266835646747 )
Artif Intell Med - Fuzzy model identification of dengue epidemic in Colombia based on multiresolution analysis. ( 0,673714055969909 )
Comput. Biol. Med. - A prediction model of substrates and non-substrates of breast cancer resistance protein (BCRP) developed by GA-CG-SVM method. ( 0,67302406652759 )
J Chem Inf Model - Predictions of BuChE inhibitors using support vector machine and naive Bayesian classification techniques in drug discovery. ( 0,670126984464591 )
J Chem Inf Model - How accurately can we predict the melting points of drug-like compounds? ( 0,669696463605734 )
AMIA Annu Symp Proc - Advanced proficiency EHR training: effect on physicians' EHR efficiency, EHR satisfaction and job satisfaction. ( 0,669634983476922 )
J Chem Inf Model - Oversampling to overcome overfitting: exploring the relationship between data set composition, molecular descriptors, and predictive modeling methods. ( 0,669563778084088 )
J Chem Inf Model - Automated building of organometallic complexes from 3D fragments. ( 0,669015558409956 )
J Chem Inf Model - Rank order entropy: why one metric is not enough. ( 0,666504372577028 )
J Chem Inf Model - Binary classification of aqueous solubility using support vector machines with reduction and recombination feature selection. ( 0,664256748671491 )
J Am Med Inform Assoc - Harvest: an open platform for developing web-based biomedical data discovery and reporting applications. ( 0,660920218578963 )
AMIA Annu Symp Proc - Motivating the additional use of external validity: examining transportability in a model of glioblastoma multiforme. ( 0,660354245141477 )
J Chem Inf Model - Predicting myelosuppression of drugs from in silico models. ( 0,659840081951449 )
J Chem Inf Model - A new approach to radial basis function approximation and its application to QSAR. ( 0,659241524186366 )
J Chem Inf Model - Prediction of linear cationic antimicrobial peptides based on characteristics responsible for their interaction with the membranes. ( 0,65638113015498 )
J Chem Inf Model - In silico prediction of chemical Ames mutagenicity. ( 0,654610296116498 )
J Chem Inf Model - RS-Predictor models augmented with SMARTCyp reactivities: robust metabolic regioselectivity predictions for nine CYP isozymes. ( 0,652720096957738 )
J Chem Inf Model - Impact of template choice on homology model efficiency in virtual screening. ( 0,650688761406863 )
Comput Math Methods Med - Multiscale autoregressive identification of neuroelectrophysiological systems. ( 0,647224671587343 )
J Chem Inf Model - Estimation of carcinogenicity using molecular fragments tree. ( 0,64697811726343 )
J Chem Inf Model - Development of novel 3D-QSAR combination approach for screening and optimizing B-Raf inhibitors in silico. ( 0,645413302290332 )
J Chem Inf Model - Comparative studies on some metrics for external validation of QSPR models. ( 0,641583373245648 )
J Chem Inf Model - Best of both worlds: combining pharma data and state of the art modeling technology to improve in Silico pKa prediction. ( 0,637789742726082 )
J Chem Inf Model - Quantitative structure-activity relationship models for ready biodegradability of chemicals. ( 0,637073708486449 )
J Chem Inf Model - Profile-QSAR and Surrogate AutoShim protein-family modeling of proteases. ( 0,633383919848471 )
J Chem Inf Model - A comparison of different QSAR approaches to modeling CYP450 1A2 inhibition. ( 0,633215983980441 )
Int J Health Geogr - Comparative analysis of remotely-sensed data products via ecological niche modeling of avian influenza case occurrences in Middle Eastern poultry. ( 0,633013435884806 )
J Biomed Inform - MysiRNA: improving siRNA efficacy prediction using a machine-learning model combining multi-tools and whole stacking energy (G). ( 0,632476493029204 )
J. Comput. Biol. - Counting RNA pseudoknotted structures. ( 0,632358087280085 )
Comput Biol Chem - Homology modeling, binding site identification and docking in flavone hydroxylase CYP105P2 in Streptomyces peucetius ATCC 27952. ( 0,630894132819066 )
Int J Health Geogr - Incorporating geographical factors with artificial neural networks to predict reference values of erythrocyte sedimentation rate. ( 0,627546846286279 )
Comput. Biol. Med. - Artificial neural network modelling of the results of tympanoplasty in chronic suppurative otitis media patients. ( 0,626428475596562 )
J Chem Inf Model - Applicability domain based on ensemble learning in classification and regression analyses. ( 0,625913604748193 )
J Chem Inf Model - Template CoMFA: the 3D-QSAR Grail? ( 0,621844712032328 )
Geospat Health - Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models. ( 0,620114243157882 )
J Med Syst - Utilization of electronic medical records to build a detection model for surveillance of healthcare-associated urinary tract infections. ( 0,619172028261201 )
Int J Comput Assist Radiol Surg - Assessing performance in brain tumor resection using a novel virtual reality simulator. ( 0,617405696781818 )
BMC Med Inform Decis Mak - Measuring preferences for analgesic treatment for cancer pain: how do African-Americans and Whites perform on choice-based conjoint (CBC) analysis experiments? ( 0,617293303055392 )
J Chem Inf Model - Profile-QSAR: a novel meta-QSAR method that combines activities across the kinase family to accurately predict affinity, selectivity, and cellular activity. ( 0,614370614784399 )
Comput Methods Programs Biomed - A predictive model of longitudinal, patient-specific colonoscopy results. ( 0,611951572802238 )
Comput. Biol. Med. - Quantification of contributions of molecular fragments for eye irritation of organic chemicals using QSAR study. ( 0,609935075825094 )
J Chem Inf Model - CSAR data set release 2012: ligands, affinities, complexes, and docking decoys. ( 0,60816366103881 )
J Am Med Inform Assoc - Drug repurposing: mining protozoan proteomes for targets of known bioactive compounds. ( 0,608048149204822 )
J Am Med Inform Assoc - Choosing blindly but wisely: differentially private solicitation of DNA datasets for disease marker discovery. ( 0,60761091075176 )
J Am Med Inform Assoc - Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions. ( 0,606569205729962 )
J Chem Inf Model - Prediction of compound potency changes in matched molecular pairs using support vector regression. ( 0,602850604351943 )
J Chem Inf Model - Combined 3D-QSAR, molecular docking, and molecular dynamics study on piperazinyl-glutamate-pyridines/pyrimidines as potent P2Y12 antagonists for inhibition of platelet aggregation. ( 0,600325237806075 )
J Chem Inf Model - QSAR modeling of imbalanced high-throughput screening data in PubChem. ( 0,599873125428693 )
J Chem Inf Model - Criterion for evaluating the predictive ability of nonlinear regression models without cross-validation. ( 0,597576415096832 )
Comput. Aided Surg. - Evaluation of a computational model to predict elbow range of motion. ( 0,596332227340156 )
J Chem Inf Model - Four-dimensional structure-activity relationship model to predict HIV-1 integrase strand transfer inhibition using LQTA-QSAR methodology. ( 0,595944101180479 )
Med Biol Eng Comput - Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch. ( 0,594024988697577 )
J Chem Inf Model - Generative topographic mapping-based classification models and their applicability domain: application to the biopharmaceutics Drug Disposition Classification System (BDDCS). ( 0,592868940047924 )
J Chem Inf Model - Discovery of novel antimalarial compounds enabled by QSAR-based virtual screening. ( 0,590259864703139 )
J Chem Inf Model - In silico prediction of chemical acute oral toxicity using multi-classification methods. ( 0,588387108427594 )
J Chem Inf Model - A new protocol for predicting novel GSK-3? ATP competitive inhibitors. ( 0,586897228759383 )
Brief. Bioinformatics - An empirical assessment of validation practices for molecular classifiers. ( 0,585678923110351 )
J. Med. Internet Res. - A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. ( 0,585258933127151 )
J Chem Inf Model - Mapping monomeric threading to protein-protein structure prediction. ( 0,584512386052453 )
J Chem Inf Model - Leave-cluster-out cross-validation is appropriate for scoring functions derived from diverse protein data sets. ( 0,584283869664304 )
J Chem Inf Model - Synthesis, bioassay, and molecular field topology analysis of diverse vasodilatory heterocycles. ( 0,58235109346398 )
J Chem Inf Model - Design of novel FLT-3 inhibitors based on dual-layer 3D-QSAR model and fragment-based compounds in silico. ( 0,581877297410188 )
J Chem Inf Model - FAst MEtabolizer (FAME): A rapid and accurate predictor of sites of metabolism in multiple species by endogenous enzymes. ( 0,581585759906687 )
J Chem Inf Model - A multiscale simulation system for the prediction of drug-induced cardiotoxicity. ( 0,577166051620094 )
J Chem Inf Model - Predictive models for cytochrome p450 isozymes based on quantitative high throughput screening data. ( 0,576695157655449 )
J Chem Inf Model - Jointly handling potency and toxicity of antimicrobial peptidomimetics by simple rules from desirability theory and chemoinformatics. ( 0,576104203930846 )
Spat Spatiotemporal Epidemiol - Spatial modelling of disease using data- and knowledge-driven approaches. ( 0,57456109184566 )
IEEE Trans Image Process - Incremental N-mode SVD for large-scale multilinear generative models. ( 0,571783461541554 )
Med Decis Making - Developing a tuberculosis transmission model that accounts for changes in population health. ( 0,571444724201501 )
J Chem Inf Model - How experimental errors influence drug metabolism and pharmacokinetic QSAR/QSPR models. ( 0,5701152192455 )
J. Med. Internet Res. - Outsourcing medical data analyses: can technology overcome legal, privacy, and confidentiality issues? ( 0,566840268920146 )