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Volumn 8, Issue 3, 2017, Pages 195-200

Prevalence and determinants of preterm birth in Tehran, Iran: A comparison between logistic regression and decision tree methods

Author keywords

Decision tree; Infant; Logistic regression; Preterm birth; Risk factor

Indexed keywords

ACCURACY; ADULT; AREA UNDER THE CURVE; ARTICLE; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DECISION TREE; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HIGH RISK POPULATION; HUMAN; INFERTILITY THERAPY; INTERMETHOD COMPARISON; INTERVIEW; IRAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MEDICAL RECORD; MULTIPLE PREGNANCY; PREECLAMPSIA; PREGNANT WOMAN; PREMATURE LABOR; PREVALENCE; PRIORITY JOURNAL; QUESTIONNAIRE; RISK FACTOR; RISK REDUCTION; SENSITIVITY AND SPECIFICITY; SOCIAL DETERMINANTS OF HEALTH;

EID: 85021342247     PISSN: 22109099     EISSN: 22336052     Source Type: Journal    
DOI: 10.24171/j.phrp.2017.8.3.06     Document Type: Article
Times cited : (15)

References (34)
  • 1
    • 0017399539 scopus 로고
    • Modifications recommended by FIGO as amended October 14, 1976
    • WHO: recommended definitions, terminology and format for statistical tables related to the perinatal period and use of a new certificate for cause of perinatal deaths. Modifications recommended by FIGO as amended October 14, 1976. Acta Obstet Gynecol Scand 1977;56:247-53
    • (1977) Acta Obstet Gynecol Scand , vol.56 , pp. 247-253
  • 2
    • 84941178180 scopus 로고    scopus 로고
    • Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis
    • Liu L, Oza S, Hogan D, et al. Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis. Lancet 2015;385:430-40. https://doi.org/10.1016/S0140-6736(14)61698-6
    • (2015) Lancet , vol.385 , pp. 430-440
    • Liu, L.1    Oza, S.2    Hogan, D.3
  • 3
    • 84856645666 scopus 로고    scopus 로고
    • Long-term neurodevelopmental outcomes after intrauterine and neonatal insults: a systematic review
    • Mwaniki MK, Atieno M, Lawn JE, et al. Long-term neurodevelopmental outcomes after intrauterine and neonatal insults: a systematic review. Lancet 2012;379:445-52. https://doi.org/10.1016/S0140-6736(11)61577-8
    • (2012) Lancet , vol.379 , pp. 445-452
    • Mwaniki, M.K.1    Atieno, M.2    Lawn, J.E.3
  • 4
    • 84861956278 scopus 로고    scopus 로고
    • National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications
    • Blencowe H, Cousens S, Oestergaard MZ, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet 2012;379:2162-72. https://doi.org/10.1016/S0140-6736(12)60820-4
    • (2012) Lancet , vol.379 , pp. 2162-2172
    • Blencowe, H.1    Cousens, S.2    Oestergaard, M.Z.3
  • 5
    • 84883856457 scopus 로고    scopus 로고
    • Preterm birth time trends in Europe: a study of 19 countries
    • Zeitlin J, Szamotulska K, Drewniak N, et al. Preterm birth time trends in Europe: a study of 19 countries. BJOG 2013;120:1356-65. https://doi.org/10.1111/1471-0528.12281
    • (2013) BJOG , vol.120 , pp. 1356-1365
    • Zeitlin, J.1    Szamotulska, K.2    Drewniak, N.3
  • 6
    • 37449004386 scopus 로고    scopus 로고
    • Epidemiology and causes of preterm birth
    • Goldenberg RL, Culhane JF, Iams JD, et al. Epidemiology and causes of preterm birth. Lancet 2008;371:75-84. https://doi.org/10.1016/S0140-6736(08)60074-4
    • (2008) Lancet , vol.371 , pp. 75-84
    • Goldenberg, R.L.1    Culhane, J.F.2    Iams, J.D.3
  • 7
    • 76649105134 scopus 로고    scopus 로고
    • The enigma of spontaneous preterm birth
    • Muglia LJ, Katz M. The enigma of spontaneous preterm birth. N Engl J Med 2010;362:529-35. https://doi.org/10.1056/NEJMra0904308
    • (2010) N Engl J Med , vol.362 , pp. 529-535
    • Muglia, L.J.1    Katz, M.2
  • 8
    • 80052299197 scopus 로고    scopus 로고
    • Epidemiology: the changing face of preterm birth
    • Klebanoff MA, Keim SA. Epidemiology: the changing face of preterm birth. Clin Perinatol 2011;38:339-50. https://doi.org/10.1016/j.clp.2011.06.006
    • (2011) Clin Perinatol , vol.38 , pp. 339-350
    • Klebanoff, M.A.1    Keim, S.A.2
  • 9
    • 85007609237 scopus 로고    scopus 로고
    • Prediction and detection models for acute kidney injury in hospitalized older adults
    • Kate RJ, Perez RM, Mazumdar D, et al. Prediction and detection models for acute kidney injury in hospitalized older adults. BMC Med Inform Decis Mak 2016;16:39. https://doi.org/10.1186/s12911-016-0277-4
    • (2016) BMC Med Inform Decis Mak , vol.16 , pp. 39
    • Kate, R.J.1    Perez, R.M.2    Mazumdar, D.3
  • 10
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: a review of classification techniques
    • Kotsiantis SB. Supervised machine learning: a review of classification techniques. Informatica 2007;31:249-268
    • (2007) Informatica , vol.31 , pp. 249-268
    • Kotsiantis, S.B.1
  • 14
    • 45049085562 scopus 로고    scopus 로고
    • Decision trees as possibilistic classifiers
    • Jenhani I, Amor NB, Elouedi Z. Decision trees as possibilistic classifiers. Int J Approx Reason 2008;48:784-807. https://doi.org/10.1016/j.ijar.2007.12.002
    • (2008) Int J Approx Reason , vol.48 , pp. 784-807
    • Jenhani, I.1    Amor, N.B.2    Elouedi, Z.3
  • 15
    • 0030969028 scopus 로고    scopus 로고
    • Primer on medical decision analysis: part 2-building a tree
    • Detsky AS, Naglie G, Krahn MD, et al. Primer on medical decision analysis: part 2-building a tree. Med Decis Making 1997;17:126-35. https://doi.org/10.1177/0272989X9701700202
    • (1997) Med Decis Making , vol.17 , pp. 126-135
    • Detsky, A.S.1    Naglie, G.2    Krahn, M.D.3
  • 16
    • 0033830432 scopus 로고    scopus 로고
    • The preterm prediction study: prediction of preterm premature rupture of membranes through clinical findings and ancillary testing. The national institute of child health and human development maternal-fetal medicine units network
    • Mercer BM, Goldenberg RL, Meis PJ, et al. The preterm prediction study: prediction of preterm premature rupture of membranes through clinical findings and ancillary testing. The national institute of child health and human development maternal-fetal medicine units network. Am J Obstet Gynecol 2000;183:738-45. https://doi. org/10.1067/mob.2000.106766
    • (2000) Am J Obstet Gynecol , vol.183 , pp. 738-745
    • Mercer, B.M.1    Goldenberg, R.L.2    Meis, P.J.3
  • 17
    • 84899996146 scopus 로고    scopus 로고
    • Risk factor of preterm labor in the west of iran: a case-control study
    • Derakhshi B, Esmailnasab N, Ghaderi E, et al. Risk factor of preterm labor in the west of iran: a case-control study. Iran J Public Health 2014;43:499-506
    • (2014) Iran J Public Health , vol.43 , pp. 499-506
    • Derakhshi, B.1    Esmailnasab, N.2    Ghaderi, E.3
  • 18
    • 20444434014 scopus 로고    scopus 로고
    • Preterm birth and low birth weight after assisted reproductive technology-related pregnancy in Australia between 1996 and 2000
    • Wang YA, Sullivan EA, Black D, et al. Preterm birth and low birth weight after assisted reproductive technology-related pregnancy in Australia between 1996 and 2000. Fertil Steril 2005;83:1650-8. https://doi.org/10.1016/j.fertnstert.2004.12.033
    • (2005) Fertil Steril , vol.83 , pp. 1650-1658
    • Wang, Y.A.1    Sullivan, E.A.2    Black, D.3
  • 19
    • 84930806072 scopus 로고    scopus 로고
    • Assisted reproductive technology and the risk of preterm birth among primiparas
    • Dunietz GL, Holzman C, McKane P, et al. Assisted reproductive technology and the risk of preterm birth among primiparas. Fertil Steril 2015;103:974-9.e1. https://doi.org/10.1016/j.fertnstert.2015. 01.015
    • (2015) Fertil Steril , vol.103
    • Dunietz, G.L.1    Holzman, C.2    McKane, P.3
  • 20
    • 53349145351 scopus 로고    scopus 로고
    • Socioeconomic position and the risk of preterm birth-a study within the Danish National Birth Cohort
    • Morgen CS, Bjørk C, Andersen PK, et al. Socioeconomic position and the risk of preterm birth-a study within the Danish National Birth Cohort. Int J Epidemiol 2008;37:1109-20. https://doi. org/10.1093/ije/dyn112
    • (2008) Int J Epidemiol , vol.37 , pp. 1109-1120
    • Morgen, C.S.1    Bjørk, C.2    Andersen, P.K.3
  • 21
    • 0030893453 scopus 로고    scopus 로고
    • Employment, job strain, and preterm delivery among women in North Carolina
    • Brett KM, Strogatz DS, Savitz DA. Employment, job strain, and preterm delivery among women in North Carolina. Am J Public Health 1997;87:199-204
    • (1997) Am J Public Health , vol.87 , pp. 199-204
    • Brett, K.M.1    Strogatz, D.S.2    Savitz, D.A.3
  • 22
    • 70350321087 scopus 로고    scopus 로고
    • Maternal BMI and preterm birth: a systematic review of the literature with meta-analysis
    • Torloni MR, Betrán AP, Daher S, et al. Maternal BMI and preterm birth: a systematic review of the literature with meta-analysis. J Matern Fetal Neonatal Med 2009;22:957-70. https://doi.org/10.3109/14767050903042561
    • (2009) J Matern Fetal Neonatal Med , vol.22 , pp. 957-970
    • Torloni, M.R.1    Betrán, A.P.2    Daher, S.3
  • 23
    • 84878707448 scopus 로고    scopus 로고
    • A decision tree for differentiating multiple system atrophy from Parkinson's disease using 3-T MR imaging
    • Nair SR, Tan LK, Mohd Ramli N, et al. A decision tree for differentiating multiple system atrophy from Parkinson's disease using 3-T MR imaging. Eur Radiol 2013;23:1459-66. https://doi.org/10.1007/s00330-012-2759-9
    • (2013) Eur Radiol , vol.23 , pp. 1459-1466
    • Nair, S.R.1    Tan, L.K.2    Mohd Ramli, N.3
  • 24
    • 84902547444 scopus 로고    scopus 로고
    • Neuroticism and impulsivity: their hierarchical organization in the personality characterization of drug-dependent patients from a decision tree learning perspective
    • Valero S, Daigre C, Rodríguez-Cintas L, et al. Neuroticism and impulsivity: their hierarchical organization in the personality characterization of drug-dependent patients from a decision tree learning perspective. Compr Psychiatry 2014;55:1227-33. https://doi. org/10.1016/j.comppsych.2014.03.021
    • (2014) Compr Psychiatry , vol.55 , pp. 1227-1233
    • Valero, S.1    Daigre, C.2    Rodríguez-Cintas, L.3
  • 25
    • 25444533026 scopus 로고    scopus 로고
    • A scalable decision tree system and its application in pattern recognition and intrusion detection
    • Li XB. A scalable decision tree system and its application in pattern recognition and intrusion detection. Decis Support Syst 2005;41:112-30. https://doi.org/10.1016/j.dss.2004.06.016
    • (2005) Decis Support Syst , vol.41 , pp. 112-130
    • Li, X.B.1
  • 26
    • 80855135591 scopus 로고    scopus 로고
    • A hybrid approach to combining CART and logistic regression for stock ranking
    • Zhu M, Philpotts D, Sparks R, et al. A hybrid approach to combining CART and logistic regression for stock ranking. J Portf Manag 2011;38:100-9. https://doi.org/10.3905/jpm.2011.38.1.100
    • (2011) J Portf Manag , vol.38 , pp. 100-109
    • Zhu, M.1    Philpotts, D.2    Sparks, R.3
  • 27
    • 77952545665 scopus 로고    scopus 로고
    • Bias correction in logistic regression with missing categorical covariates
    • Das U, Maiti T, Pradhan V. Bias correction in logistic regression with missing categorical covariates. J Stat Plan Inference 2010;140:2478-85. https://doi.org/10.1016/j.jspi.2010.02.018
    • (2010) J Stat Plan Inference , vol.140 , pp. 2478-2485
    • Das, U.1    Maiti, T.2    Pradhan, V.3
  • 28
    • 0027500150 scopus 로고
    • A comparison of logistic regression to decision-tree induction in a medical domain
    • Long WJ, Griffith JL, Selker HP, et al. A comparison of logistic regression to decision-tree induction in a medical domain. Comput Biomed Res 1993;26:74-97
    • (1993) Comput Biomed Res , vol.26 , pp. 74-97
    • Long, W.J.1    Griffith, J.L.2    Selker, H.P.3
  • 29
    • 79955621501 scopus 로고    scopus 로고
    • Predicting corporate financial distress based on integration of decision tree classification and logistic regression
    • Chen MY. Predicting corporate financial distress based on integration of decision tree classification and logistic regression. Expert Syst Appl 2011;38:11261-72. https://doi.org/10.1016/j.eswa.2011.02.173
    • (2011) Expert Syst Appl , vol.38 , pp. 11261-11272
    • Chen, M.Y.1
  • 31
    • 84863366528 scopus 로고    scopus 로고
    • Performance comparison between logistic regression, decision trees, and multilayer perceptron in predicting peripheral neuropathy in type 2 diabetes mellitus
    • Li CP, Zhi XY, Ma J, et al. Performance comparison between logistic regression, decision trees, and multilayer perceptron in predicting peripheral neuropathy in type 2 diabetes mellitus. Chin Med J (Engl) 2012;125:851-7
    • (2012) Chin Med J (Engl) , vol.125 , pp. 851-857
    • Li, C.P.1    Zhi, X.Y.2    Ma, J.3
  • 32
    • 67349199555 scopus 로고    scopus 로고
    • Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms
    • Samanta B, Bird GL, Kuijpers M, et al. Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms. Artif Intell Med 2009;46:201-15. https://doi.org/10.1016/j.artmed.2008.12.005
    • (2009) Artif Intell Med , vol.46 , pp. 201-215
    • Samanta, B.1    Bird, G.L.2    Kuijpers, M.3
  • 33
    • 84880758907 scopus 로고    scopus 로고
    • Risk group classification for bleeding after coronary artery bypass graft surgery: a comparison of the logistic regression with decision tree models
    • Safiarian R, Amini P, Moez EK, et al. Risk group classification for bleeding after coronary artery bypass graft surgery: a comparison of the logistic regression with decision tree models. Türk Gögüs Kalp Damar Cerrahisi Dergisi 2013;21:574-80. https://doi.org/10.5606/tgkdc.dergisi.2013.7680
    • (2013) Türk Gögüs Kalp Damar Cerrahisi Dergisi , vol.21 , pp. 574-580
    • Safiarian, R.1    Amini, P.2    Moez, E.K.3
  • 34
    • 41149134381 scopus 로고    scopus 로고
    • The use of risk assessment to predict recurrent maltreatment: A classification and regression tree analysis (CART)
    • Sledjeski EM, Dierker LC, Brigham R, et al. The use of risk assessment to predict recurrent maltreatment: A classification and regression tree analysis (CART). Prev Sci 2008;9:28-37. https://doi.org/10.1007/s11121-007-0079-0
    • (2008) Prev Sci , vol.9 , pp. 28-37
    • Sledjeski, E.M.1    Dierker, L.C.2    Brigham, R.3


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