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Predicting Fertility Diagnosis in Drinkers

Abstract:

100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits.

Problem Statement:

What impact does alcohol consumption have on the fertility diagnoses (sperm concentration) of males (keeping in mind that sperm concentration are related to socio-demographic and environmental factors, health status, as well as habits accosicated with individual lifestyle)?

Data Set Information:

The data associated with this analysis (http://archive.ics.uci.edu/ml/datasets/Fertility) contains the following information: 0. Season in which the analysis was performed. 1) winter, 2) spring, 3) Summer, 4) fall. (-1, -0.33, 0.33, 1)

  1. Age at the time of analysis. 18-36 (0, 1)
  2. Childish diseases (ie , chicken pox, measles, mumps, polio) 1) yes, 2) no. (0, 1)
  3. Accident or serious trauma 1) yes, 2) no. (0, 1)
  4. Surgical intervention 1) yes, 2) no. (0, 1)
  5. High fevers in the last year 1) less than three months ago, 2) more than three months ago, 3) no. (-1, 0, 1)
  6. Frequency of alcohol consumption 1) several times a day, 2) every day, 3) several times a week, 4) once a week, 5) hardly ever or never (0, 1)
  7. Smoking habit 1) never, 2) occasional 3) daily. (-1, 0, 1)
  8. Number of hours spent sitting per day ene-16 (0, 1)
  9. Output: Diagnosis normal (N), altered (O) Relevant Papers: David Gil, Jose Luis Girela, Joaquin De Juan, M. Jose Gomez-Torres, and Magnus Johnsson. Predicting seminal quality with artificial intelligence methods. Expert Systems with Applications, 39(16):12564 - 12573, 2012. Citations: David Gil, Jose Luis Girela, Joaquin De Juan, M. Jose Gomez-Torres, and Magnus Johnsson. Predicting seminal quality with artificial intelligence methods. Expert Systems with Applications, 39(16):12564 - 12573, 2012.

UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.