Comput. Biol. Med. - A ternary model of decompression sickness in rats.

Tópicos

{ model(2341) predict(2261) use(1141) }
{ estim(2440) model(1874) function(577) }
{ studi(2440) review(1878) systemat(933) }
{ gene(2352) biolog(1181) express(1162) }
{ activ(1452) weight(1219) physic(1104) }
{ assess(1506) score(1403) qualiti(1306) }
{ patient(2837) hospit(1953) medic(668) }
{ patient(2315) diseas(1263) diabet(1191) }
{ error(1145) method(1030) estim(1020) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(1557) propos(1049) approach(1037) }
{ risk(3053) factor(974) diseas(938) }
{ blood(1257) pressur(1144) flow(957) }
{ group(2977) signific(1463) compar(1072) }
{ data(3008) multipl(1320) sourc(1022) }
{ time(1939) patient(1703) rate(768) }
{ use(1733) differ(960) four(931) }
{ method(2212) result(1239) propos(1039) }
{ can(774) often(719) complex(702) }
{ treatment(1704) effect(941) patient(846) }
{ data(3963) clinic(1234) research(1004) }
{ visual(1396) interact(850) tool(830) }
{ data(2317) use(1299) case(1017) }
{ sampl(1606) size(1419) use(1276) }
{ patient(1821) servic(1111) care(1106) }
{ health(1844) social(1437) communiti(874) }
{ drug(1928) target(777) effect(648) }
{ 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) }
{ 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) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ 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) }
{ clinic(1479) use(1117) guidelin(835) }
{ 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) }
{ studi(1410) differ(1259) use(1210) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ 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) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ model(2656) set(1616) predict(1553) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

CKGROUND: Decompression sickness (DCS) in rats is commonly modelled as a binary outcome. The present study aimed to develop a ternary model of predicting probability of DCS in rats, (as no-DCS, survivable-DCS or death), based upon the compression/decompression profile and physiological characteristics of each rat.METHODS: A literature search identified dive profiles with outcomes no-DCS, survivable-DCS or death by DCS. Inclusion criteria were that at least one rat was represented in each DCS status, not treated with drugs or simulated ascent to altitude, that strain, sex, breathing gases and compression/decompression profile were described and that weight was reported. A dataset was compiled (n=1602 rats) from 15 studies using 22 dive profiles and two strains of both sexes. Inert gas pressures in five compartments were estimated. Using ordinal logistic regression, model-fit of the calibration dataset was optimised by maximum log likelihood. Two validation datasets assessed model robustness.RESULTS: In the interpolation dataset the model predicted 10/15 cases of nDCS, 3/3 sDCS and 2/2 dDCS, totalling 15/20 (75% accuracy) and 18.5/20 (92.5%) were within 95% confidence intervals. Mean weight in the extrapolation dataset was more than 2SD outside of the calibration dataset and the probability of each outcome was not predictable.DISCUSSION: This model is reliable for the prediction of DCS status providing the dive profile and rat characteristics are within the range of parameters used to optimise the model. The addition of data with a wider range of parameters should improve the applicability of the model.

Resumo Limpo

ckground decompress sick dcs rat common model binari outcom present studi aim develop ternari model predict probabl dcs rat nodc survivabledc death base upon compressiondecompress profil physiolog characterist ratmethod literatur search identifi dive profil outcom nodc survivabledc death dcs inclus criteria least one rat repres dcs status treat drug simul ascent altitud strain sex breath gase compressiondecompress profil describ weight report dataset compil n rat studi use dive profil two strain sex inert gas pressur five compart estim use ordin logist regress modelfit calibr dataset optimis maximum log likelihood two valid dataset assess model robustnessresult interpol dataset model predict case ndcs sdcs ddcs total accuraci within confid interv mean weight extrapol dataset sd outsid calibr dataset probabl outcom predictablediscuss model reliabl predict dcs status provid dive profil rat characterist within rang paramet use optimis model addit data wider rang paramet improv applic model

Resumos Similares

Med Decis Making - Lehmann family of ROC curves. ( 0,85865653660677 )
Comput Math Methods Med - Variable selection in ROC regression. ( 0,85862916352537 )
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. ( 0,833971261288391 )
Appl Clin Inform - Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department. ( 0,827684599696594 )
BMC Med Inform Decis Mak - Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population. ( 0,823241299428253 )
Lifetime Data Anal - Understanding increments in model performance metrics. ( 0,822981932661827 )
J Am Med Inform Assoc - An improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors. ( 0,821957226930853 )
J Clin Monit Comput - Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery. ( 0,820269768863113 )
J Med Syst - Classifying hospitals as mortality outliers: logistic versus hierarchical logistic models. ( 0,807638376287848 )
Comput Math Methods Med - Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. ( 0,795208603665186 )
J. Comput. Biol. - Prediction of siRNA potency using sparse logistic regression. ( 0,790832280993706 )
Methods Inf Med - Limited sampling strategies to estimate the area under the concentration-time curve. Biases and a proposed more accurate method. ( 0,790142321925608 )
Appl Clin Inform - Exploring the value of clinical data standards to predict hospitalization of home care patients. ( 0,787352281251901 )
Med Decis Making - Application of an artificial neural network to predict postinduction hypotension during general anesthesia. ( 0,784946406693098 )
Int J Med Inform - Application of data mining to the identification of critical factors in patient falls using a web-based reporting system. ( 0,782784433676905 )
BMC Med Inform Decis Mak - Evaluation of prediction models for the staging of prostate cancer. ( 0,768882839783735 )
J Biomed Inform - Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches. ( 0,767170165415261 )
Comput Methods Programs Biomed - Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection. ( 0,764977349709309 )
Comput Methods Programs Biomed - Development of a daily mortality probability prediction model from Intensive Care Unit patients using a discrete-time event history analysis. ( 0,764331268775735 )
Med Decis Making - A comparison of methods for converting DCE values onto the full health-dead QALY scale. ( 0,758170448035257 )
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. ( 0,753642320417971 )
Int J Health Geogr - Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures. ( 0,751072293776931 )
BMC Med Inform Decis Mak - Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. ( 0,747056961996314 )
AMIA Annu Symp Proc - Predicting Surgical Risk: How Much Data is Enough? ( 0,745843652192545 )
J Biomed Inform - Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data. ( 0,745511822004709 )
J Chem Inf Model - Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis. ( 0,744884386637815 )
IEEE Trans Image Process - Network-based H.264/AVC whole frame loss visibility model and frame dropping methods. ( 0,743996334566843 )
IEEE J Biomed Health Inform - The effect of sample age and prediction resolution on myocardial infarction risk prediction. ( 0,742948266134529 )
Comput. Biol. Med. - A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. ( 0,739553855530522 )
Med Decis Making - Performance of a mathematical model to forecast lives saved from HIV treatment expansion in resource-limited settings. ( 0,738418642527306 )
Med Decis Making - Performance profiling in primary care: does the choice of statistical model matter? ( 0,734279898533183 )
BMC Med Inform Decis Mak - Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model. ( 0,733671257865163 )
Int J Health Geogr - Prediction of high-risk areas for visceral leishmaniasis using socioeconomic indicators and remote sensing data. ( 0,726150909517836 )
Neural Comput - An extension of the receiver operating characteristic curve and AUC-optimal classification. ( 0,725392366634374 )
J Biomed Inform - Not just data: a method for improving prediction with knowledge. ( 0,725258650311655 )
Int J Health Geogr - Assessing the effects of variables and background selection on the capture of the tick climate niche. ( 0,722191864918391 )
AMIA Annu Symp Proc - Development and implementation of a real-time 30-day readmission predictive model. ( 0,720162044953945 )
J Biomed Inform - Statistical process control for validating a classification tree model for predicting mortality--a novel approach towards temporal validation. ( 0,71899139320967 )
Spat Spatiotemporal Epidemiol - Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. ( 0,716714563380766 )
Comput Methods Programs Biomed - Exploring an optimal vector autoregressive model for multi-channel pulmonary sound data. ( 0,715082027166333 )
J Chem Inf Model - Two new parameters based on distances in a receiver operating characteristic chart for the selection of classification models. ( 0,712293532632743 )
BMC Med Inform Decis Mak - Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model. ( 0,710307694989354 )
Comput Math Methods Med - Prediction of BP reactivity to talking using hybrid soft computing approaches. ( 0,705519634986479 )
Med Decis Making - Adaptation of clinical prediction models for application in local settings. ( 0,698243199550346 )
Med Decis Making - Contrasting two frameworks for ROC analysis of ordinal ratings. ( 0,696958603746871 )
Brief. Bioinformatics - Adjusting confounders in ranking biomarkers: a model-based ROC approach. ( 0,695309758357303 )
Brief. Bioinformatics - Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them). ( 0,693517722504135 )
Methods Inf Med - Sensor-based fall risk assessment--an expert 'to go'. ( 0,692158738774458 )
BMC Med Inform Decis Mak - Use of outcomes to evaluate surveillance systems for bioterrorist attacks. ( 0,688897656001732 )
Comput. Biol. Med. - Pre-operative prediction of surgical morbidity in children: comparison of five statistical models. ( 0,687891741882295 )
Artif Intell Med - Assessing and combining repeated prognosis of physicians and temporal models in the intensive care. ( 0,685576560786724 )
Int J Comput Assist Radiol Surg - Controlling motion prediction errors in radiotherapy with relevance vector machines. ( 0,682308832785268 )
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. ( 0,681975717444649 )
J Biomed Inform - An empirical approach to model selection through validation for censored survival data. ( 0,676260917563802 )
J Biomed Inform - Prediction of influenza vaccination outcome by neural networks and logistic regression. ( 0,67605659527797 )
BMC Med Inform Decis Mak - Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups. ( 0,674948337875039 )
Comput Methods Programs Biomed - A warning concerning the estimation of multinomial logistic models with correlated responses in SAS. ( 0,673233779575832 )
Lifetime Data Anal - Estimating improvement in prediction with matched case-control designs. ( 0,669851552322678 )
Med Decis Making - Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. ( 0,664546691977153 )
BMC Med Inform Decis Mak - Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies. ( 0,662615950271975 )
BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,662166834062558 )
AMIA Annu Symp Proc - Developing predictive models using electronic medical records: challenges and pitfalls. ( 0,661280137444559 )
Methods Inf Med - Classification of postural profiles among mouth-breathing children by learning vector quantization. ( 0,659395034348416 )
Artif Intell Med - Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks. ( 0,658752061575089 )
Med Biol Eng Comput - System identification of the mechanomyogram from single motor units during voluntary isometric contraction. ( 0,655975958150443 )
Comput Methods Programs Biomed - Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. ( 0,654716774418822 )
BMC Med Inform Decis Mak - Bayesian predictors of very poor health related quality of life and mortality in patients with COPD. ( 0,651818168044235 )
BMC Med Inform Decis Mak - Risk factors for adverse reactions from contrast agents for computed tomography. ( 0,651258834898581 )
Med Biol Eng Comput - Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. ( 0,648811064031333 )
J Am Med Inform Assoc - Automating annotation of information-giving for analysis of clinical conversation. ( 0,647760068997287 )
J Am Med Inform Assoc - Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology. ( 0,647160945364754 )
Health Informatics J - Development of an automated model to predict the risk of elderly emergency medical admissions within a month following an index hospital visit: a Hong Kong experience. ( 0,645428133020579 )
Methods Inf Med - Extending statistical boosting. An overview of recent methodological developments. ( 0,643956895756541 )
J Med Syst - Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing. ( 0,64182473578207 )
Med Decis Making - Constructing proper ROCs from ordinal response data using weighted power functions. ( 0,639592440925335 )
Brief. Bioinformatics - Ranking prognosis markers in cancer genomic studies. ( 0,637060844892562 )
BMC Med Inform Decis Mak - Artificial neural network aided non-invasive grading evaluation of hepatic fibrosis by duplex ultrasonography. ( 0,636319530838313 )
Artif Intell Med - Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method. ( 0,63573233221383 )
J Chem Inf Model - Ligand efficiency-based support vector regression models for predicting bioactivities of ligands to drug target proteins. ( 0,632510633137782 )
IEEE Trans Image Process - DEB: definite error bounded tangent estimator for digital curves. ( 0,632409468505444 )
Artif Intell Med - Machine learning of clinical performance in a pancreatic cancer database. ( 0,632288232658857 )
Brief. Bioinformatics - Added predictive value of high-throughput molecular data to clinical data and its validation. ( 0,631102171319418 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,630460169384537 )
Comput Biol Chem - Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions. ( 0,629632017643028 )
IEEE Trans Image Process - Monotonic regression: a new way for correlating subjective and objective ratings in image quality research. ( 0,627829745847402 )
Artif Intell Med - Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. ( 0,627011975453015 )
J. Med. Internet Res. - Maximizing the value of mobile health monitoring by avoiding redundant patient reports: prediction of depression-related symptoms and adherence problems in automated health assessment services. ( 0,626827856061588 )
Comput Biol Chem - An ensemble method for prediction of conformational B-cell epitopes from antigen sequences. ( 0,624654044596342 )
Comput Math Methods Med - Iterative reweighted noninteger norm regularizing SVM for gene expression data classification. ( 0,623312266359189 )
J Biomed Inform - Towards probabilistic decision support in public health practice: predicting recent transmission of tuberculosis from patient attributes. ( 0,621873456689624 )
Artif Intell Med - Improved modeling of clinical data with kernel methods. ( 0,620287388392673 )
Comput Math Methods Med - Screening for prediabetes using machine learning models. ( 0,6149270343507 )
Comput Math Methods Med - An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach. ( 0,614395609722803 )
J Med Syst - A new approach: role of data mining in prediction of survival of burn patients. ( 0,613880922234966 )
J Am Med Inform Assoc - Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. ( 0,611703779856304 )
Appl Clin Inform - Optimization of decision support tool using medication regimens to assess rehospitalization risks. ( 0,611134744375109 )
J Clin Monit Comput - Variations in the pre-ejection period induced by ventricular extra systoles may be feasible to predict fluid responsiveness. ( 0,61016345853538 )
Artif Intell Med - Artificial metaplasticity prediction model for cognitive rehabilitation outcome in acquired brain injury patients. ( 0,608875969665678 )
Comput. Biol. Med. - A leave-one-out cross-validation SAS macro for the identification of markers associated with survival. ( 0,607511420610128 )
AMIA Annu Symp Proc - Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning. ( 0,605947900862976 )