Semen quality and waiting time to pregnancy explored using association mining
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Semen quality and waiting time to pregnancy explored using association mining. / Romero Herrera, Jose Alejandro; Bang, Anne Kirstine; Priskorn, Laerke; Izarzugaza, Jose M. G.; Brunak, Søren; Jørgensen, Niels.
In: Andrology, Vol. 9, No. 2, 2021, p. 577-587.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Semen quality and waiting time to pregnancy explored using association mining
AU - Romero Herrera, Jose Alejandro
AU - Bang, Anne Kirstine
AU - Priskorn, Laerke
AU - Izarzugaza, Jose M. G.
AU - Brunak, Søren
AU - Jørgensen, Niels
PY - 2021
Y1 - 2021
N2 - Background Assessment of semen quality is a key pillar in the evaluation of men from infertile couples. Usually, semen parameters are interpreted individually because the interactions between parameters are difficult to account for.Objectives To determine how combinations of classical semen parameters and female partner age were associated with waiting time to pregnancy (TTP).Materials and methods Semen results of 500 fertile men, information of TTP, and partner age were used for regressions and to detect breaking points. For a modified Association Rule Mining algorithm, semen parameters were categorized as High, Medium, and Low.Results Men = 62%) and morphologically normal spermatozoa (>= 10.5%). Furthermore, TTP = 32 years). However, high percentages of motile or normal spermatozoa could not compensate for sperm concentrationDiscussion and Conclusion Using association mining, we observed that TTP was best predicted when combinations of semen parameters were accounted for. Sperm counts, motility, and morphology were all important, and no single semen parameter was inferior. Additionally, female age above 32 years had a negative impact on TTP that could not be compensated for by high semen parameters of the man.
AB - Background Assessment of semen quality is a key pillar in the evaluation of men from infertile couples. Usually, semen parameters are interpreted individually because the interactions between parameters are difficult to account for.Objectives To determine how combinations of classical semen parameters and female partner age were associated with waiting time to pregnancy (TTP).Materials and methods Semen results of 500 fertile men, information of TTP, and partner age were used for regressions and to detect breaking points. For a modified Association Rule Mining algorithm, semen parameters were categorized as High, Medium, and Low.Results Men = 62%) and morphologically normal spermatozoa (>= 10.5%). Furthermore, TTP = 32 years). However, high percentages of motile or normal spermatozoa could not compensate for sperm concentrationDiscussion and Conclusion Using association mining, we observed that TTP was best predicted when combinations of semen parameters were accounted for. Sperm counts, motility, and morphology were all important, and no single semen parameter was inferior. Additionally, female age above 32 years had a negative impact on TTP that could not be compensated for by high semen parameters of the man.
KW - age
KW - association mining
KW - semen quality
KW - time to pregnancy
KW - FERTILE
U2 - 10.1111/andr.12924
DO - 10.1111/andr.12924
M3 - Journal article
C2 - 33084252
VL - 9
SP - 577
EP - 587
JO - Journal of Andrology
JF - Journal of Andrology
SN - 2047-2919
IS - 2
ER -
ID: 252302645