IEEE J Biomed Health Inform - Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.


{ age(1611) year(1155) adult(843) }
{ model(2341) predict(2261) use(1141) }
{ signal(2180) analysi(812) frequenc(800) }
{ activ(1452) weight(1219) physic(1104) }
{ risk(3053) factor(974) diseas(938) }
{ chang(1828) time(1643) increas(1301) }
{ group(2977) signific(1463) compar(1072) }
{ method(1219) similar(1157) match(930) }
{ cancer(2502) breast(956) screen(824) }
{ howev(809) still(633) remain(590) }
{ import(1318) role(1303) understand(862) }
{ model(3404) distribut(989) bayesian(671) }
{ data(1737) use(1416) pattern(1282) }
{ assess(1506) score(1403) qualiti(1306) }
{ learn(2355) train(1041) set(1003) }
{ algorithm(1844) comput(1787) effici(935) }
{ control(1307) perform(991) simul(935) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ analysi(2126) use(1163) compon(1037) }
{ inform(2794) health(2639) internet(1427) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ studi(1410) differ(1259) use(1210) }
{ perform(999) metric(946) measur(919) }
{ spatial(1525) area(1432) region(1030) }
{ cost(1906) reduc(1198) effect(832) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ process(1125) use(805) approach(778) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ 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) }
{ featur(3375) classif(2383) classifi(1994) }
{ 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) }
{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ method(1557) propos(1049) approach(1037) }
{ 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) }
{ search(2224) databas(1162) retriev(909) }
{ data(3963) clinic(1234) research(1004) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ 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) }
{ 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) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ medic(1828) order(1363) alert(1069) }
{ 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) }
{ 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) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }


Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associated with risk factors for various diseases and are related to anthropometric measures. However, controversy remains regarding the best anthropometric indicators of the HDL and LDL cholesterol levels. The objectives of this study were to identify the best predictors of HDL and LDL cholesterol using statistical analyses and two machine learning algorithms and to compare the predictive power of combined anthropometric measures in Korean adults. A total of 13?014 subjects participated in this study. The anthropometric measures were assessed with binary logistic regression (LR) to evaluate statistically significant differences between the subjects with normal and high LDL cholesterol levels and between the subjects with normal and low HDL cholesterol levels. LR and the naive Bayes algorithm (NB), which provides more reasonable and reliable results, were used in the analyses of the predictive power of individual and combined measures. The best predictor of HDL was the rib to hip ratio ( ; odds ratio (OR) = 1.895 ; area under curve (AUC) = 0.681) in women and the waist to hip ratio (WHR) ( ; OR = 1.624; AUC = 0.633) in men. In women, the strongest indicator of LDL was age ( ; OR = 1.662; AUC by NB = 0.653 ; AUC by LR = 0.636). Among the anthropometric measures, the body mass index (BMI), WHR, forehead to waist ratio, forehead to rib ratio, and forehead to chest ratio were the strongest predictors of LDL; these measures had similar predictive powers. The strongest predictor in men was BMI ( ; OR = 1.369; AUC by NB = 0.594; AUC by LR = 0.595 ). The predictive power of almost all individual anthropometric measures was higher for HDL than for LDL, and the predictive power for both HDL and LDL in women was higher than for men. A combination of anthropometric measures slightly improved the predictive power for both HDL and LDL cholesterol. The best indicator for HDL and LDL might differ according to the type of cholesterol and the gender. In women, but not men, age was the variable that strongly predicted HDL and LDL cholesterol levels. Our findings provide new information for the development of better initial screening tools for HDL and LDL cholesterol.

Resumo Limpo

serum highdens lipoprotein hdl lowdens lipoprotein ldl cholesterol level associ risk factor various diseas relat anthropometr measur howev controversi remain regard best anthropometr indic hdl ldl cholesterol level object studi identifi best predictor hdl ldl cholesterol use statist analys two machin learn algorithm compar predict power combin anthropometr measur korean adult total subject particip studi anthropometr measur assess binari logist regress lr evalu statist signific differ subject normal high ldl cholesterol level subject normal low hdl cholesterol level lr naiv bay algorithm nb provid reason reliabl result use analys predict power individu combin measur best predictor hdl rib hip ratio odd ratio area curv auc women waist hip ratio whr auc men women strongest indic ldl age auc nb auc lr among anthropometr measur bodi mass index bmi whr forehead waist ratio forehead rib ratio forehead chest ratio strongest predictor ldl measur similar predict power strongest predictor men bmi auc nb auc lr predict power almost individu anthropometr measur higher hdl ldl predict power hdl ldl women higher men combin anthropometr measur slight improv predict power hdl ldl cholesterol best indic hdl ldl might differ accord type cholesterol gender women men age variabl strong predict hdl ldl cholesterol level find provid new inform develop better initi screen tool hdl ldl cholesterol

Resumos Similares

Artif Intell Med - Prediction of body mass index status from voice signals based on machine learning for automated medical applications. ( 0,775723248501411 )
Methods Inf Med - Statistical process control for monitoring standardized mortality ratios of a classification tree model. ( 0,771969151073856 )
IEEE J Biomed Health Inform - The effect of sample age and prediction resolution on myocardial infarction risk prediction. ( 0,740325370536306 )
BMC Med Inform Decis Mak - Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population. ( 0,735081721414094 )
Med Decis Making - The utility of childhood and adolescent obesity assessment in relation to adult health. ( 0,721123743117322 )
Comput Math Methods Med - Use of CHAID decision trees to formulate pathways for the early detection of metabolic syndrome in young adults. ( 0,702016325542274 )
Methods Inf Med - Sensor-based fall risk assessment--an expert 'to go'. ( 0,695314860511968 )
J Clin Monit Comput - Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery. ( 0,666709537742668 )
Int J Comput Assist Radiol Surg - Use of normative distribution of gray to white matter ratio in orthogonal planes in human brain studies and computer-assisted neuroradiology. ( 0,662365646617068 )
J Clin Monit Comput - Influence of age and gender on autonomic regulation of heart. ( 0,661741557671197 )
J Am Med Inform Assoc - An improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors. ( 0,658823607263913 )
J Biomed Inform - Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches. ( 0,655202339895535 )
Int J Health Geogr - Characteristics of residential areas and transportational walking among frail and non-frail Dutch elderly: does the size of the area matter? ( 0,653108472430671 )
Comput. Biol. Med. - Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin. ( 0,652328121284721 )
Int J Health Geogr - Association of duration of residence in the southeastern United States with chronic kidney disease may differ by race: the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study. ( 0,652312262785708 )
BMC Med Inform Decis Mak - Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups. ( 0,648348682227167 )
Int J Med Inform - Application of data mining to the identification of critical factors in patient falls using a web-based reporting system. ( 0,642268675193497 )
Med Decis Making - Subjective numeracy and preference to stay with the status quo. ( 0,630291445651876 )
J. Med. Internet Res. - Computer skills and internet use in adults aged 50-74 years: influence of hearing difficulties. ( 0,629448409022897 )
IEEE J Biomed Health Inform - Detection of respiratory arousals using photoplethysmography (PPG) signal in sleep apnea patients. ( 0,628781804266829 )
Int J Health Geogr - Gravity models to classify commuting vs. resident workers. An application to the analysis of residential risk in a contaminated area. ( 0,625245322973419 )
Lifetime Data Anal - Understanding increments in model performance metrics. ( 0,622018399796489 )
IEEE Trans Image Process - Network-based H.264/AVC whole frame loss visibility model and frame dropping methods. ( 0,620160852685926 )
Comput Methods Programs Biomed - Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection. ( 0,618465919328366 )
Comput Math Methods Med - Variable selection in ROC regression. ( 0,615982899780097 )
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. ( 0,615584966108123 )
Int J Health Geogr - Changing patterns in the association between regional socio-economic context and dental caries experience according to gender and age: a multilevel study in Korean adults. ( 0,613986513901027 )
BMC Med Inform Decis Mak - Evaluation of prediction models for the staging of prostate cancer. ( 0,612248351356093 )
Comput. Biol. Med. - Indicators of hypertriglyceridemia from anthropometric measures based on data mining. ( 0,611727547115799 )
Int J Health Geogr - People living in hilly residential areas in metropolitan Perth have less diabetes: spurious association or important environmental determinant? ( 0,610955388161865 )
Med Biol Eng Comput - Recurring patterns in stationary intervals of abdominal uterine electromyograms during gestation. ( 0,608936662158636 )
Appl Clin Inform - Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department. ( 0,608806162927362 )
Med Decis Making - Performance of a mathematical model to forecast lives saved from HIV treatment expansion in resource-limited settings. ( 0,608133340919204 )
Spat Spatiotemporal Epidemiol - Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. ( 0,608050457853061 )
Int J Health Geogr - Neighborhood food environment and body mass index among Japanese older adults: results from the Aichi Gerontological Evaluation Study (AGES). ( 0,607189196581315 )
Int J Health Geogr - Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis. ( 0,605228090612677 )
J Med Syst - Classifying hospitals as mortality outliers: logistic versus hierarchical logistic models. ( 0,604832424385818 )
Med Decis Making - Application of an artificial neural network to predict postinduction hypotension during general anesthesia. ( 0,602377122761237 )
J. Comput. Biol. - Prediction of siRNA potency using sparse logistic regression. ( 0,60129541174095 )
Comput Methods Programs Biomed - Exploring an optimal vector autoregressive model for multi-channel pulmonary sound data. ( 0,601260166349533 )
J. Med. Internet Res. - The digital divide among low-income homebound older adults: Internet use patterns, eHealth literacy, and attitudes toward computer/Internet use. ( 0,601070522598885 )
Int J Health Geogr - A case-referent study: light at night and breast cancer risk in Georgia. ( 0,600941410216002 )
Med Decis Making - Health-Related Quality of Life in HIV-Infected and At-Risk Women: The Impact of Illicit Drug Use and Hepatitis C on a Community Preference Weighted Measure. ( 0,60068538861597 )
BMC Med Inform Decis Mak - Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. ( 0,598960310415852 )
BMC Med Inform Decis Mak - Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model. ( 0,597457336399181 )
BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,594802556826239 )
Comput. Biol. Med. - Neural network analysis of employment history as a risk factor for prostate cancer. ( 0,594167245665572 )
Med Decis Making - Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. ( 0,593788753441702 )
Int J Health Geogr - Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study. ( 0,590540680713133 )
Health Informatics J - Factors influencing Internet usage in older adults (65 years and above) living in rural and urban Sweden. ( 0,589107107553857 )
BMC Med Inform Decis Mak - Use of outcomes to evaluate surveillance systems for bioterrorist attacks. ( 0,586090737280661 )
AMIA Annu Symp Proc - Predicting Surgical Risk: How Much Data is Enough? ( 0,585696817393404 )
Comput Methods Programs Biomed - Development of a daily mortality probability prediction model from Intensive Care Unit patients using a discrete-time event history analysis. ( 0,585 )
J. Med. Internet Res. - Recruitment via the Internet and social networking sites: the 1989-1995 cohort of the Australian Longitudinal Study on Women's Health. ( 0,579985790195925 )
Int J Health Geogr - Spatial association of racial/ethnic disparities between late-stage diagnosis and mortality for female breast cancer: where to intervene? ( 0,579741449721646 )
Int J Health Geogr - A spatially filtered multilevel model to account for spatial dependency: application to self-rated health status in South Korea. ( 0,578664212320881 )
Comput. Biol. Med. - A ternary model of decompression sickness in rats. ( 0,57838271329607 )
Med Biol Eng Comput - System identification of the mechanomyogram from single motor units during voluntary isometric contraction. ( 0,57748576360161 )
Med Decis Making - Modeling and validating the cost and clinical pathway of colorectal cancer. ( 0,573968816466191 )
J. Med. Internet Res. - Online health-searching behavior among HIV-seropositive and HIV-seronegative men who have sex with men in the Baltimore and Washington, DC area. ( 0,570722401253924 )
J Chem Inf Model - Two new parameters based on distances in a receiver operating characteristic chart for the selection of classification models. ( 0,570183290764533 )
BMC Med Inform Decis Mak - Is pathology necessary to predict mortality among men with prostate-cancer? ( 0,570047895031702 )
Int J Health Geogr - Spatial epidemiology of dry eye disease: findings from South Korea. ( 0,56796437157844 )
J Chem Inf Model - Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis. ( 0,567231040902595 )
Comput Math Methods Med - Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. ( 0,566129971520753 )
J Biomed Inform - Statistical process control for validating a classification tree model for predicting mortality--a novel approach towards temporal validation. ( 0,565686560862605 )
Int J Health Geogr - The proportion of youths' physical inactivity attributable to neighbourhood built environment features. ( 0,56437998223984 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,564119251218229 )
Lifetime Data Anal - Estimating improvement in prediction with matched case-control designs. ( 0,56383647390113 )
J. Med. Internet Res. - Relationship between health service use and health information technology use among older adults: analysis of the US National Health Interview Survey. ( 0,563519233657176 )
Telemed J E Health - Men calling healthline. ( 0,563367762538332 )
Med Decis Making - Adaptation of clinical prediction models for application in local settings. ( 0,560248020354715 )
Telemed J E Health - A U.K. case study of who uses NHS direct: investigating the impact of age, gender, and deprivation on the utilization of NHS direct. ( 0,557640468013455 )
Med Decis Making - A comparison of methods for converting DCE values onto the full health-dead QALY scale. ( 0,554684108982453 )
Spat Spatiotemporal Epidemiol - Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial. ( 0,554528872704599 )
Appl Clin Inform - Exploring the value of clinical data standards to predict hospitalization of home care patients. ( 0,554119701207347 )
Med Decis Making - Performance profiling in primary care: does the choice of statistical model matter? ( 0,550623039708037 )
Comput Methods Programs Biomed - Like/dislike analysis using EEG: determination of most discriminative channels and frequencies. ( 0,547789935407117 )
Med Biol Eng Comput - Quantitative differences in intervertebral disc-matrix composition with age-related degeneration. ( 0,547649325022712 )
Comput Math Methods Med - Application of Wavelet Entropy to predict atrial fibrillation progression from the surface ECG. ( 0,54567055243208 )
IEEE Trans Image Process - Spatial sparsity-induced prediction (SIP) for images and video: a simple way to reject structured interference. ( 0,545600586509949 )
Comput. Biol. Med. - Pre-operative prediction of surgical morbidity in children: comparison of five statistical models. ( 0,545158209200176 )
J. Med. Internet Res. - Patient ability and willingness to participate in a web-based intervention to improve hypertension control. ( 0,543792628448312 )
Neural Comput - An extension of the receiver operating characteristic curve and AUC-optimal classification. ( 0,541763791538726 )
Comput Math Methods Med - Prediction of BP reactivity to talking using hybrid soft computing approaches. ( 0,541738486523116 )
Methods Inf Med - Limited sampling strategies to estimate the area under the concentration-time curve. Biases and a proposed more accurate method. ( 0,541527045956134 )
Int J Comput Assist Radiol Surg - Virtual reality laparoscopy: which potential trainee starts with a higher proficiency level? ( 0,539633149500066 )
Int J Health Geogr - Where they live, how they play: neighborhood greenness and outdoor physical activity among preschoolers. ( 0,538537994142833 )
Med Decis Making - The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes. ( 0,538203122148552 )
Med Decis Making - Constructing proper ROCs from ordinal response data using weighted power functions. ( 0,537549536742603 )
Int J Health Geogr - Prediction of high-risk areas for visceral leishmaniasis using socioeconomic indicators and remote sensing data. ( 0,536425200613071 )
J Clin Monit Comput - Isocapnic hyperpnea with a portable device in Cystic Fibrosis: an agreement study between two different set-up modalities. ( 0,536103293753204 )
J. Med. Internet Res. - Who participates in Web-assisted tobacco interventions? The QUIT-PRIMO and National Dental Practice-Based Research Network Hi-Quit studies. ( 0,535727096364768 )
BMC Med Inform Decis Mak - Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model. ( 0,535602714369431 )
J Am Med Inform Assoc - Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access. ( 0,535361224045635 )
Med Biol Eng Comput - A dynamic Bayesian network for estimating the risk of falls from real gait data. ( 0,532917586875451 )
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. ( 0,532190839781267 )
J Biomed Inform - Prediction of influenza vaccination outcome by neural networks and logistic regression. ( 0,529379282029836 )
AMIA Annu Symp Proc - Integrating public data sets for analysis of maternal airborne environmental exposures and stillbirth. ( 0,529091055296394 )
J Telemed Telecare - Teleconsulting for minor head injury: the Piedmont experience. ( 0,528973581642668 )