{ "data_id": "213", "name": "pharynx", "exact_name": "pharynx", "version": 1, "version_label": "1", "description": "**Author**: \n**Source**: Unknown - \n**Please cite**: \n\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\n Case number deleted. \n\n As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction\n using instance-based learning with encoding length selection. In Progress\n in Connectionist-Based Information Systems. Singapore: Springer-Verlag.\n\n !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\n Name: Pharynx (A clinical Trial in the Trt. of Carcinoma of the Oropharynx).\n SIZE: 195 observations, 13 variables.\n \n \n \n DESCRIPTIVE ABSTRACT:\n \n The .dat file gives the data for a part of a large clinical trial\n carried out by the Radiation Therapy Oncology Group in the United States. \n The full study included patients with squamous carcinoma of 15 sites in \n the mouth and throat, with 16 participating institutions, though only data \n on three sites in the oropharynx reported by the six largest institutions \n are considered here. Patients entering the study were randomly assigned to \n one of two treatment groups, radiation therapy alone or radiation therapy \n together with a chemotherapeutic agent. One objective of the study was to \n compare the two treatment policies with respect to patient survival.\n \n \n \n SOURCE: The Statistical Analysis of Failure Time Data, by JD Kalbfleisch\n & RL Prentice, (1980), Published by John Wiley & Sons \n \n \n \n VARIABLE DESCRIPTIONS:\n \n The data are in free format. That is, at least one blank space separates \n each variable in the .dat file. The variables are as follows:\n \n \n Case: Case Number\n Inst: Participating Institution\n sex: 1=male, 2=female\n Treatment: 1=standard, 2=test\n Grade: 1=well differentiated, 2=moderately differentiated, \n 3=poorly differentiated, 9=missing\n Age: In years at time of diagnosis\n Condition: 1=no disability, 2=restricted work, 3=requires assistance with\n self care, 4=bed confined, 9=missing\n Site: 1=faucial arch, 2=tonsillar fossa, 3=posterior pillar,\n 4=pharyngeal tongue, 5=posterior wall\n T staging: 1=primary tumor measuring 2 cm or less in largest diameter,\n 2=primary tumor measuring 2 cm to 4 cm in largest diameter with\n minimal infiltration in depth, 3=primary tumor measuring more \n than 4 cm, 4=massive invasive tumor\n N staging: 0=no clinical evidence of node metastases, 1=single positive\n node 3 cm or less in diameter, not fixed, 2=single positive\n node more than 3 cm in diameter, not fixed, 3=multiple\n positive nodes or fixed positive nodes \n Entry Date: Date of study entry: Day of year and year\n Status: 0=censored, 1=dead\n Time: Survival time in days from day of diagnosis \n \n \n \n \n \n \n STORY BEHIND THE DATA:\n \n Approximately 30% of the survival times are censored owing primarily to \n patients surviving to the time of analysis. Some patients were lost\n to follow-up because the patient moved or transferred to an institution not\n participating in the study, though these cases were relatively rare. From \n a statistical point of view, an important feature of these data is the \n considerable lack of homogeneity between individuals being studied. \n Of course, as part of the study design, certain criteria for patient \n eligibility had to be met which eliminated extremes in the extent of disease, \n but still many factors are not controlled.\n \n This study included measurements of many covariates which would be expected \n to relate to survival experience. Six such variables are given in the data \n (sex, T staging, N staging, age, general condition, and grade). The site \n of the primary tumor and possible differences between participating \n institutions require consideration as well.\n \n The T,N staging classification gives a measure of the extent of the tumor at \n the primary site and at regional lymph nodes. T=1, refers to a small primary \n tumor, 2 centimeters or less in largest diameter, whereas T=4 is a massive \n tumor with extension to adjoining tissue. T=2 and T=3 refer to intermediate\n cases. N=0 refers to there being no clinical evidence of a lymph node \n metastasis and N=1, N=2, N=3 indicate, in increasing magnitude, the extent of \n existing lymph node involvement. Patients with classifications T=1,N=0; \n T=1,N=1; T=2,N=0; or T=2,N=1, or with distant metastases were excluded \n from study.\n \n The variable general condition gives a measure of the functional capacity of \n the patient at the time of diagnosis (1 refers to no disability whereas\n 4 denotes bed confinement; 2 and 3 measure intermediate levels). The variable\n grade is a measure of the degree of differentiation of the tumor (the degree\n to which the tumor cell resembles the host cell) from 1 (well differentiated) \n to 3 (poorly differentiated)\n \n In addition to the primary question whether the combined treatment mode is\n preferable to the conventional radiation therapy, it is of considerable \n interest to determine the extent to which the several covariates relate to\n subsequent survival. It is also imperative in answering the primary question \n to adjust the survivals for possible imbalance that may be present in the \n study with regard to the other covariates. Such problems are similar to those \n encountered in the classical theory of linear regression and the analysis of \n covariance. Again, the need to accommodate censoring is an important \n distinguishing point. In many situations it is also important to develop \n nonparametric and robust procedures since there is frequently little empirical\n or theoretical work to support a particular family of failure time \n distributions.", "format": "ARFF", "uploader": "Jan van Rijn", "uploader_id": 1, "visibility": "public", "creator": null, "contributor": null, "date": "2014-04-23 13:17:32", "update_comment": "set ignore feature", "last_update": "2014-10-05 00:03:24", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/3650\/dataset_2199_pharynx.arff", "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": "\"Entry\"", "runs": 10, "suggest": { "input": [ "pharynx", "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems. Singapore: Springer-Verlag. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Name: Pharynx (A clinical Trial in the Trt. of Carcinoma of the Oropharynx). SIZE: 195 observations, 13 variab " ], "weight": 5 }, "qualities": { "NumberOfInstances": 195, "NumberOfFeatures": 11, "NumberOfClasses": 0, "NumberOfMissingValues": 2, "NumberOfInstancesWithMissingValues": 2, "NumberOfNumericFeatures": 2, "NumberOfSymbolicFeatures": 9, "PercentageOfInstancesWithMissingValues": 1.0256410256410255, "AutoCorrelation": -455.46907216494844, "PercentageOfMissingValues": 0.09324009324009325, "Dimensionality": 0.05641025641025641, "PercentageOfNumericFeatures": 18.181818181818183, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 81.81818181818183, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 3, "PercentageOfBinaryFeatures": 27.27272727272727 }, "tags": [], "features": [ { "name": "class", "index": "11", "type": "numeric", "distinct": "177", "missing": "0", "target": "1", "min": "11", "max": "1823", "mean": "559", "stdev": "419" }, { "name": "Inst", "index": "0", "type": "nominal", "distinct": "6", "missing": "0", "distr": [] }, { "name": "sex", "index": "1", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Treatment", "index": "2", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Grade", "index": "3", "type": "nominal", "distinct": "3", "missing": "1", "distr": [] }, { "name": "Age", "index": "4", "type": "numeric", "distinct": "48", "missing": "0", "min": "20", "max": "90", "mean": "60", "stdev": "11" }, { "name": "Condition", "index": "5", "type": "nominal", "distinct": "5", "missing": "1", "distr": [] }, { "name": "Site", "index": "6", "type": "nominal", "distinct": "3", "missing": "0", "distr": [] }, { "name": "T", "index": "7", "type": "nominal", "distinct": "4", "missing": "0", "distr": [] }, { "name": "N", "index": "8", "type": "nominal", "distinct": "4", "missing": "0", "distr": [] }, { "name": "Entry", "index": "9", "type": "nominal", "distinct": "184", "missing": "0", "ignore": "1", "distr": [] }, { "name": "Status", "index": "10", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 1, "nr_of_downloads": 2, "total_downloads": 4, "reach": 3, "reuse": 12, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 12 }