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data/tanveer/audiology-std/datos_orixinais/audiology.standardized.names
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data/tanveer/audiology-std/datos_orixinais/audiology.standardized.names
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WARNING: This database should be credited to the original owner whenever
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used for any publication whatsoever.
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1. Title: Standardized Audiology Database
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2. Sources:
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Original Version:
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(a) Original Owner: Professor Jergen at Baylor College of Medicine
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(b) Donor: Bruce Porter (porter@fall.cs.utexas.EDU)
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(c) Date Original Received: 12/3/1987
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Standardized Version:
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(a) Donor: Ross Quinlan
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(b) Date Standardized version received 8/18/92
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3. Past Usage: (Original Version)
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-- See: Bareiss, E. Ray, & Porter, Bruce (1987). Protos: An Exemplar-Based
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Learning Apprentice. In the Proceedings of the 4th International
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Workshop on Machine Learning, 12-23, Irvine, CA: Morgan Kaufmann.
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4. Relevant Information:
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This database is a standardized version of the original audiology database
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(see audiology.* in this directory). The non-standard set of attributes
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have been converted to a standard set of attributes according to the rules
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that follow.
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- Each property that appears anywhere in the original .data or .test
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file has been represented as a separate attribute in this file.
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- A property such as age_gt_60 is represented as a boolean attribute with
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values f and t.
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- In most cases, a property of the form x(y) is represented as a discrete
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attribute x() whose possible values are the various y's; air() is an
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example. There are two exceptions:
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- when only one value of y appears anywhere, e.g. static(normal).
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In this case, x_y appears as a boolean attribute.
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- when one case can have two or more values of x, e.g. history(..).
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All possible values of history are treated as separate boolean
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attributes.
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- Since boolean attributes only appear as positive conditions, each boolean
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attribute is assumed to be false unless noted as true. The value of
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multi-value discrete attributes taken as unknown ("?") unless a value is
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specified.
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- The original case identifications, p1 to p200 in the .data file and t1
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to t26 in the .test file, have been added as a unique identifier attribute.
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[Note: in the original .data file, p165 has a repeated specification
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of o_ar_c(normal); p166 has repeated specification of speech(normal)
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and conflicting values air(moderate) and air(mild). No other
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problems with the original data were noted.]
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5. Number of instances: 200 training cases, 26 test cases
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6. Number of attributes: 69 + identifier attribute + class attribute
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7. Attribute information:
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age_gt_60: f, t.
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air(): mild,moderate,severe,normal,profound.
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airBoneGap: f, t.
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ar_c(): normal,elevated,absent.
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ar_u(): normal,absent,elevated.
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bone(): mild,moderate,normal,unmeasured.
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boneAbnormal: f, t.
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bser(): normal,degraded.
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history_buzzing: f, t.
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history_dizziness: f, t.
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history_fluctuating: f, t.
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history_fullness: f, t.
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history_heredity: f, t.
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history_nausea: f, t.
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history_noise: f, t.
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history_recruitment: f, t.
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history_ringing: f, t.
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history_roaring: f, t.
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history_vomiting: f, t.
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late_wave_poor: f, t.
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m_at_2k: f, t.
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m_cond_lt_1k: f, t.
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m_gt_1k: f, t.
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m_m_gt_2k: f, t.
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m_m_sn: f, t.
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m_m_sn_gt_1k: f, t.
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m_m_sn_gt_2k: f, t.
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m_m_sn_gt_500: f, t.
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m_p_sn_gt_2k: f, t.
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m_s_gt_500: f, t.
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m_s_sn: f, t.
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m_s_sn_gt_1k: f, t.
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m_s_sn_gt_2k: f, t.
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m_s_sn_gt_3k: f, t.
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m_s_sn_gt_4k: f, t.
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m_sn_2_3k: f, t.
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m_sn_gt_1k: f, t.
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m_sn_gt_2k: f, t.
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m_sn_gt_3k: f, t.
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m_sn_gt_4k: f, t.
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m_sn_gt_500: f, t.
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m_sn_gt_6k: f, t.
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m_sn_lt_1k: f, t.
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m_sn_lt_2k: f, t.
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m_sn_lt_3k: f, t.
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middle_wave_poor: f, t.
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mod_gt_4k: f, t.
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mod_mixed: f, t.
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mod_s_mixed: f, t.
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mod_s_sn_gt_500: f, t.
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mod_sn: f, t.
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mod_sn_gt_1k: f, t.
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mod_sn_gt_2k: f, t.
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mod_sn_gt_3k: f, t.
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mod_sn_gt_4k: f, t.
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mod_sn_gt_500: f, t.
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notch_4k: f, t.
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notch_at_4k: f, t.
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o_ar_c(): normal,elevated,absent.
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o_ar_u(): normal,absent,elevated.
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s_sn_gt_1k: f, t.
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s_sn_gt_2k: f, t.
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s_sn_gt_4k: f, t.
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speech(): normal,good,very_good,very_poor,poor,unmeasured.
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static_normal: f, t.
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tymp(): a,as,b,ad,c.
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viith_nerve_signs: f, t.
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wave_V_delayed: f, t.
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waveform_ItoV_prolonged: f, t.
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indentifier (unique for each instance)
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class: cochlear_unknown,mixed_cochlear_age_fixation,poss_central
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mixed_cochlear_age_otitis_media,mixed_poss_noise_om,
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cochlear_age,normal_ear,cochlear_poss_noise,cochlear_age_and_noise,
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acoustic_neuroma,mixed_cochlear_unk_ser_om,conductive_discontinuity,
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retrocochlear_unknown,conductive_fixation,bells_palsy,
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cochlear_noise_and_heredity,mixed_cochlear_unk_fixation,
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otitis_media,possible_menieres,possible_brainstem_disorder,
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cochlear_age_plus_poss_menieres,mixed_cochlear_age_s_om,
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mixed_cochlear_unk_discontinuity,mixed_poss_central_om
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8. Missing attributes: Yes
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9. Class Distribution: (in the training set)
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1. acoustic_neuroma: 1
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2. bells_palsy: 1
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3. cochlear_age: 46
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4. cochlear_age_and_noise: 18
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5. cochlear_age_plus_poss_menieres: 1
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6. cochlear_noise_and_heredity: 2
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7. cochlear_poss_noise: 16
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8. cochlear_unknown: 48
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9. conductive_discontinuity: 2
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10. conductive_fixation: 6
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11. mixed_cochlear_age_fixation: 1
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12. mixed_cochlear_age_otitis_media: 4
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13. mixed_cochlear_age_s_om: 2
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14. mixed_cochlear_unk_discontinuity: 2
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15. mixed_cochlear_unk_fixation: 5
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16. mixed_cochlear_unk_ser_om: 3
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17. mixed_poss_central_om: 1
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18. mixed_poss_noise_om: 2
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19. normal_ear: 20
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20. otitis_media: 4
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21. poss_central: 1
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22. possible_brainstem_disorder: 4
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23. possible_menieres: 8
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24. retrocochlear_unknown: 2
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