{ "data_id": "65", "name": "cardiotocography", "exact_name": "cardiotocography", "version": 1, "version_label": null, "description": "**Author**: J. P. Marques de S\u00e1, J. Bernardes, D. Ayers de Campos. \n**Source**: UCI \n**Please cite**: \n\n* Source:\n\nMarques de S\u00e1, J.P., jpmdesa '@' gmail.com, Biomedical Engineering Institute, Porto, Portugal. \nBernardes, J., joaobern '@' med.up.pt, Faculty of Medicine, University of Porto, Portugal. \nAyres de Campos, D., sisporto '@' med.up.pt, Faculty of Medicine, University of Porto, Portugal.\n\n\n* Data Set Information:\n\n2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three expert obstetricians and a consensus classification label assigned to each of them. Classification was both with respect to a morphologic pattern (A, B, C. ...) and to a fetal state (N, S, P). Therefore the dataset can be used either for 10-class or 3-class experiments.\n\n\n* Attribute Information:\n\nLB - FHR baseline (beats per minute) \nAC - # of accelerations per second \nFM - # of fetal movements per second \nUC - # of uterine contractions per second \nDL - # of light decelerations per second \nDS - # of severe decelerations per second \nDP - # of prolongued decelerations per second \nASTV - percentage of time with abnormal short term variability \nMSTV - mean value of short term variability \nALTV - percentage of time with abnormal long term variability \nMLTV - mean value of long term variability \nWidth - width of FHR histogram \nMin - minimum of FHR histogram \nMax - Maximum of FHR histogram \nNmax - # of histogram peaks \nNzeros - # of histogram zeros \nMode - histogram mode \nMean - histogram mean \nMedian - histogram median \nVariance - histogram variance \nTendency - histogram tendency \nCLASS - FHR pattern class code (1 to 10) \nNSP - fetal state class code (N=normal; S=suspect; P=pathologic)\n\n\n* Relevant Papers:\n\nAyres de Campos et al. (2000) SisPorto 2.0 A Program for Automated Analysis of Cardiotocograms. J Matern Fetal Med 5:311-318 ", "format": "ARFF", "uploader": "Rafael Gomes Mantovani", "uploader_id": 64, "visibility": "public", "creator": null, "contributor": null, "date": "2015-05-21 23:05:18", "update_comment": null, "last_update": "2015-11-09 20:49:14", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1586231\/php9HX2u8", "default_target_attribute": "Class", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "cardiotocography", "* Source: Marques de S\u00e1, J.P., jpmdesa '@' gmail.com, Biomedical Engineering Institute, Porto, Portugal. Bernardes, J., joaobern '@' med.up.pt, Faculty of Medicine, University of Porto, Portugal. Ayres de Campos, D., sisporto '@' med.up.pt, Faculty of Medicine, University of Porto, Portugal. * Data Set Information: 2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. 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