BMC Med Inform Decis Mak - Evaluation of prediction models for the staging of prostate cancer.

Tópicos

{ model(2341) predict(2261) use(1141) }
{ cancer(2502) breast(956) screen(824) }
{ decis(3086) make(1611) patient(1517) }
{ patient(2315) diseas(1263) diabet(1191) }
{ record(1888) medic(1808) patient(1693) }
{ group(2977) signific(1463) compar(1072) }
{ data(3963) clinic(1234) research(1004) }
{ clinic(1479) use(1117) guidelin(835) }
{ featur(1941) imag(1645) propos(1176) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ signal(2180) analysi(812) frequenc(800) }
{ process(1125) use(805) approach(778) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ studi(2440) review(1878) systemat(933) }
{ method(1557) propos(1049) approach(1037) }
{ search(2224) databas(1162) retriev(909) }
{ case(1353) use(1143) diagnosi(1136) }
{ state(1844) use(1261) util(961) }
{ imag(1947) propos(1133) code(1026) }
{ method(1219) similar(1157) match(930) }
{ imag(2830) propos(1344) filter(1198) }
{ take(945) account(800) differ(722) }
{ studi(1410) differ(1259) use(1210) }
{ research(1085) discuss(1038) issu(1018) }
{ model(2656) set(1616) predict(1553) }
{ sampl(1606) size(1419) use(1276) }
{ use(1733) differ(960) four(931) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ featur(3375) classif(2383) classifi(1994) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ 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) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ 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) }
{ method(984) reconstruct(947) comput(926) }
{ howev(809) still(633) remain(590) }
{ 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) }
{ spatial(1525) area(1432) region(1030) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ 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) }
{ use(976) code(926) identifi(902) }
{ 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) }
{ activ(1452) weight(1219) physic(1104) }

Resumo

CKGROUND: There are dilemmas associated with the diagnosis and prognosis of prostate cancer which has lead to over diagnosis and over treatment. Prediction tools have been developed to assist the treatment of the disease.METHODS: A retrospective review was performed of the Irish Prostate Cancer Research Consortium database and 603 patients were used in the study. Statistical models based on routinely used clinical variables were built using logistic regression, random forests and k nearest neighbours to predict prostate cancer stage. The predictive ability of the models was examined using discrimination metrics, calibration curves and clinical relevance, explored using decision curve analysis. The N = 603 patients were then applied to the 2007 Partin table to compare the predictions from the current gold standard in staging prediction to the models developed in this study.RESULTS: 30% of the study cohort had non organ-confined disease. The model built using logistic regression illustrated the highest discrimination metrics (AUC = 0.622, Sens = 0.647, Spec = 0.601), best calibration and the most clinical relevance based on decision curve analysis. This model also achieved higher discrimination than the 2007 Partin table (ECE AUC = 0.572 & 0.509 for T1c and T2a respectively). However, even the best statistical model does not accurately predict prostate cancer stage.CONCLUSIONS: This study has illustrated the inability of the current clinical variables and the 2007 Partin table to accurately predict prostate cancer stage. New biomarker features are urgently required to address the problem clinician's face in identifying the most appropriate treatment for their patients. This paper also demonstrated a concise methodological approach to evaluate novel features or prediction models.

Resumo Limpo

ckground dilemma associ diagnosi prognosi prostat cancer lead diagnosi treatment predict tool develop assist treatment diseasemethod retrospect review perform irish prostat cancer research consortium databas patient use studi statist model base routin use clinic variabl built use logist regress random forest k nearest neighbour predict prostat cancer stage predict abil model examin use discrimin metric calibr curv clinic relev explor use decis curv analysi n patient appli partin tabl compar predict current gold standard stage predict model develop studyresult studi cohort non organconfin diseas model built use logist regress illustr highest discrimin metric auc sen spec best calibr clinic relev base decis curv analysi model also achiev higher discrimin partin tabl ece auc tc ta respect howev even best statist model accur predict prostat cancer stageconclus studi illustr inabl current clinic variabl partin tabl accur predict prostat cancer stage new biomark featur urgent requir address problem clinician face identifi appropri treatment patient paper also demonstr concis methodolog approach evalu novel featur predict model

Resumos Similares

Med Decis Making - Application of an artificial neural network to predict postinduction hypotension during general anesthesia. ( 0,874597109060691 )
BMC Med Inform Decis Mak - Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population. ( 0,860960738410794 )
BMC Med Inform Decis Mak - Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model. ( 0,85830528841562 )
J Biomed Inform - Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches. ( 0,845713536508591 )
J Am Med Inform Assoc - An improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors. ( 0,836420714954489 )
IEEE J Biomed Health Inform - The effect of sample age and prediction resolution on myocardial infarction risk prediction. ( 0,835207090290967 )
Appl Clin Inform - Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department. ( 0,832469994866853 )
Comput Math Methods Med - Variable selection in ROC regression. ( 0,821987318770666 )
J Clin Monit Comput - Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery. ( 0,82153250618524 )
Lifetime Data Anal - Understanding increments in model performance metrics. ( 0,819499507668957 )
Med Decis Making - Adaptation of clinical prediction models for application in local settings. ( 0,813220936553148 )
BMC Med Inform Decis Mak - Artificial neural network aided non-invasive grading evaluation of hepatic fibrosis by duplex ultrasonography. ( 0,80662569810989 )
Med Decis Making - Performance of a mathematical model to forecast lives saved from HIV treatment expansion in resource-limited settings. ( 0,803299840141223 )
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. ( 0,799737551408935 )
Comput Methods Programs Biomed - Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection. ( 0,798015793271612 )
Int J Med Inform - Application of data mining to the identification of critical factors in patient falls using a web-based reporting system. ( 0,793690039846101 )
Comput Math Methods Med - Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. ( 0,784309950840139 )
Med Decis Making - A comparison of methods for converting DCE values onto the full health-dead QALY scale. ( 0,779232142039952 )
J Biomed Inform - Statistical process control for validating a classification tree model for predicting mortality--a novel approach towards temporal validation. ( 0,775715982548428 )
IEEE Trans Image Process - Network-based H.264/AVC whole frame loss visibility model and frame dropping methods. ( 0,775400562065458 )
J. Comput. Biol. - Prediction of siRNA potency using sparse logistic regression. ( 0,771411090326283 )
Comput. Biol. Med. - A ternary model of decompression sickness in rats. ( 0,768882839783735 )
Comput Methods Programs Biomed - Development of a daily mortality probability prediction model from Intensive Care Unit patients using a discrete-time event history analysis. ( 0,761389121829471 )
J Med Syst - Classifying hospitals as mortality outliers: logistic versus hierarchical logistic models. ( 0,760034828081766 )
BMC Med Inform Decis Mak - Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. ( 0,754252906463557 )
AMIA Annu Symp Proc - Predicting Surgical Risk: How Much Data is Enough? ( 0,747883200564799 )
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. ( 0,747542050423038 )
BMC Med Inform Decis Mak - Use of outcomes to evaluate surveillance systems for bioterrorist attacks. ( 0,746412907056113 )
J Chem Inf Model - Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis. ( 0,737213944563939 )
Comput Methods Programs Biomed - Exploring an optimal vector autoregressive model for multi-channel pulmonary sound data. ( 0,733636770758359 )
AMIA Annu Symp Proc - Developing predictive models using electronic medical records: challenges and pitfalls. ( 0,733267386418754 )
BMC Med Inform Decis Mak - Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies. ( 0,73256328660055 )
J Chem Inf Model - Two new parameters based on distances in a receiver operating characteristic chart for the selection of classification models. ( 0,728653945072907 )
Comput. Biol. Med. - A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. ( 0,724193351148791 )
AMIA Annu Symp Proc - Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning. ( 0,723884258035943 )
Med Biol Eng Comput - System identification of the mechanomyogram from single motor units during voluntary isometric contraction. ( 0,721847337274474 )
Appl Clin Inform - Exploring the value of clinical data standards to predict hospitalization of home care patients. ( 0,721405795942771 )
J Biomed Inform - Not just data: a method for improving prediction with knowledge. ( 0,720375657882487 )
Artif Intell Med - Machine learning of clinical performance in a pancreatic cancer database. ( 0,720043723708765 )
BMC Med Inform Decis Mak - Bayesian predictors of very poor health related quality of life and mortality in patients with COPD. ( 0,711672694546594 )
Int J Health Geogr - Prediction of high-risk areas for visceral leishmaniasis using socioeconomic indicators and remote sensing data. ( 0,711580765391959 )
Comput Math Methods Med - Prediction of BP reactivity to talking using hybrid soft computing approaches. ( 0,708836523432745 )
Spat Spatiotemporal Epidemiol - Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. ( 0,70162966680625 )
Comput Methods Programs Biomed - Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. ( 0,699654491735157 )
Neural Comput - An extension of the receiver operating characteristic curve and AUC-optimal classification. ( 0,699415478587731 )
BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,697561420640782 )
Comput Biol Chem - An ensemble method for prediction of conformational B-cell epitopes from antigen sequences. ( 0,696106509752934 )
Brief. Bioinformatics - Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them). ( 0,691544171324431 )
BMC Med Inform Decis Mak - Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups. ( 0,691339122688208 )
Comput. Biol. Med. - Pre-operative prediction of surgical morbidity in children: comparison of five statistical models. ( 0,690909778791846 )
Med Decis Making - Constructing proper ROCs from ordinal response data using weighted power functions. ( 0,690546335404255 )
Methods Inf Med - Limited sampling strategies to estimate the area under the concentration-time curve. Biases and a proposed more accurate method. ( 0,687463837534881 )
IEEE J Biomed Health Inform - A Prediction Model for Functional Outcomes in Spinal Cord DisorderPatients using Gaussian Process Regression. ( 0,680861571104356 )
BMC Med Inform Decis Mak - A model building exercise of mortality risk for Taiwanese women with breast cancer. ( 0,680402437038499 )
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. ( 0,678621665498608 )
J Am Med Inform Assoc - Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. ( 0,678244943538682 )
Med Decis Making - Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. ( 0,67772426322297 )
AMIA Annu Symp Proc - Development and implementation of a real-time 30-day readmission predictive model. ( 0,677274368317255 )
Artif Intell Med - Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method. ( 0,676930337007076 )
BMC Med Inform Decis Mak - Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model. ( 0,67687804201746 )
J Biomed Inform - Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data. ( 0,676782176504446 )
Med Decis Making - Performance profiling in primary care: does the choice of statistical model matter? ( 0,673880361076726 )
Med Decis Making - Lehmann family of ROC curves. ( 0,672065967055654 )
BMC Med Inform Decis Mak - An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data. ( 0,671697457564675 )
Artif Intell Med - Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. ( 0,671144381179273 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,668521190616892 )
AMIA Annu Symp Proc - Clinical risk prediction by exploring high-order feature correlations. ( 0,667691663883164 )
Comput Math Methods Med - Screening for prediabetes using machine learning models. ( 0,667547685936649 )
Comput Methods Programs Biomed - Computer-aided diagnosis of breast masses using quantified BI-RADS findings. ( 0,667546840153236 )
J Biomed Inform - Prediction of influenza vaccination outcome by neural networks and logistic regression. ( 0,667024002209656 )
J Biomed Inform - Synergistic effect of different levels of genomic data for cancer clinical outcome prediction. ( 0,665776791494796 )
J Med Syst - Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing. ( 0,66499349068123 )
J Med Syst - A new approach: role of data mining in prediction of survival of burn patients. ( 0,662648432343305 )
BMC Med Inform Decis Mak - Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study. ( 0,660749040761393 )
Methods Inf Med - Sensor-based fall risk assessment--an expert 'to go'. ( 0,659692154931687 )
J Chem Inf Model - Elaborate ligand-based modeling coupled with multiple linear regression and k nearest neighbor QSAR analyses unveiled new nanomolar mTOR inhibitors. ( 0,659068206352442 )
Methods Inf Med - Classification of postural profiles among mouth-breathing children by learning vector quantization. ( 0,658280394915055 )
AMIA Annu Symp Proc - Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study. ( 0,654432878372908 )
Comput Math Methods Med - Iterative reweighted noninteger norm regularizing SVM for gene expression data classification. ( 0,654135974288216 )
J Am Med Inform Assoc - Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology. ( 0,650345746176227 )
Methods Inf Med - Extending statistical boosting. An overview of recent methodological developments. ( 0,650065234656927 )
J Am Med Inform Assoc - Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. ( 0,649381800836664 )
J Biomed Inform - An empirical approach to model selection through validation for censored survival data. ( 0,647273920014054 )
J Digit Imaging - Computer-aided detection of architectural distortion in prior mammograms of interval cancer. ( 0,646476768731603 )
J Am Med Inform Assoc - Automating annotation of information-giving for analysis of clinical conversation. ( 0,645595310532562 )
Artif Intell Med - Artificial metaplasticity prediction model for cognitive rehabilitation outcome in acquired brain injury patients. ( 0,639622796905222 )
Int J Health Geogr - Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East. ( 0,637814394616832 )
J Chem Inf Model - Ligand efficiency-based support vector regression models for predicting bioactivities of ligands to drug target proteins. ( 0,637009443639353 )
Med Biol Eng Comput - Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. ( 0,636876027840954 )
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. ( 0,633953448315877 )
J Am Med Inform Assoc - A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data. ( 0,633691533974289 )
BMC Med Inform Decis Mak - An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer. ( 0,633295197824946 )
J Biomed Inform - Towards probabilistic decision support in public health practice: predicting recent transmission of tuberculosis from patient attributes. ( 0,631045066880469 )
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. ( 0,629061246178822 )
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. ( 0,628312718377981 )
Comput Biol Chem - Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions. ( 0,627773863202028 )
J Clin Monit Comput - Complex signals bioinformatics: evaluation of heart rate characteristics monitoring as a novel risk marker for neonatal sepsis. ( 0,627489832340714 )
Brief. Bioinformatics - Ranking prognosis markers in cancer genomic studies. ( 0,627469654379939 )
Artif Intell Med - Improved modeling of clinical data with kernel methods. ( 0,624608181634448 )
Methods Inf Med - A probabilistic model to investigate the properties of prognostic tools for falls. ( 0,623731779386274 )