% Publication Request: %    >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>%    This file describes the contents of the heart-disease directory.% %    This directory contains 4 databases concerning heart disease diagnosis.%    All attributes are numeric-valued.  The data was collected from the%    four following locations:% %      1. Cleveland Clinic Foundation (cleveland.data)%      2. Hungarian Institute of Cardiology, Budapest (hungarian.data)%      3. V.A. Medical Center, Long Beach, CA (long-beach-va.data)%      4. University Hospital, Zurich, Switzerland (switzerland.data)% %    Each database has the same instance format.  While the databases have 76%    raw attributes, only 14 of them are actually used.  Thus I've taken the%    liberty of making 2 copies of each database: one with all the attributes%    and 1 with the 14 attributes actually used in past experiments.% %    The authors of the databases have requested:% %       ...that any publications resulting from the use of the data include the %       names of the principal investigator responsible for the data collection%       at each institution.  They would be:% %        1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.%        2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.%        3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.%        4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation:%           Robert Detrano, M.D., Ph.D.% %    Thanks in advance for abiding by this request.% %    David Aha%    July 22, 1988%    >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>% % 1. Title: Heart Disease Databases% % 2. Source Information:%    (a) Creators: %        -- 1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.%        -- 2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.%        -- 3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.%        -- 4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation:%              Robert Detrano, M.D., Ph.D.%    (b) Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779   %    (c) Date: July, 1988% % 3. Past Usage:%     1. Detrano,~R., Janosi,~A., Steinbrunn,~W., Pfisterer,~M., Schmid,~J.,%        Sandhu,~S., Guppy,~K., Lee,~S., \& Froelicher,~V. (1989).  {\it %        International application of a new probability algorithm for the %        diagnosis of coronary artery disease.}  {\it American Journal of %        Cardiology}, {\it 64},304--310.%        -- International Probability Analysis %        -- Address: Robert Detrano, M.D.%                    Cardiology 111-C%                    V.A. Medical Center%                    5901 E. 7th Street%                    Long Beach, CA 90028%        -- Results in percent accuracy: (for 0.5 probability threshold)%              Data Name:  CDF    CADENZA%           -- Hungarian   77     74%              Long beach  79     77%              Swiss       81     81%           -- Approximately a 77% correct classification accuracy with a%              logistic-regression-derived discriminant function%     2. David W. Aha & Dennis Kibler%        -- %           %           %           -- Instance-based prediction of heart-disease presence with the %              Cleveland database%              -- NTgrowth: 77.0% accuracy%              --       C4: 74.8% accuracy%     3. John Gennari%        -- Gennari, J.~H., Langley, P, \& Fisher, D. (1989). Models of%           incremental concept formation. {\it Artificial Intelligence, 40},%           11--61.%        -- Results: %           -- The CLASSIT conceptual clustering system achieved a 78.9% accuracy%              on the Cleveland database.% % 4. Relevant Information:%      This database contains 76 attributes, but all published experiments%      refer to using a subset of 14 of them.  In particular, the Cleveland%      database is the only one that has been used by ML researchers to %      this date.  The "goal" field refers to the presence of heart disease%      in the patient.  It is integer valued from 0 (no presence) to 4.%      Experiments with the Cleveland database have concentrated on simply%      attempting to distinguish presence (values 1,2,3,4) from absence (value%      0).  %    %      The names and social security numbers of the patients were recently %      removed from the database, replaced with dummy values.% %      One file has been "processed", that one containing the Cleveland %      database.  All four unprocessed files also exist in this directory.%     % 5. Number of Instances: %         Database:    # of instances:%           Cleveland: 303%           Hungarian: 294%         Switzerland: 123%       Long Beach VA: 200% % 6. Number of Attributes: 76 (including the predicted attribute)% % 7. Attribute Information:%    -- Only 14 used%       -- 1. #3  (age)       %       -- 2. #4  (sex)       %       -- 3. #9  (chest_pain)        %       -- 4. #10 (trestbps)  %       -- 5. #12 (chol)      %       -- 6. #16 (fbs)       %       -- 7. #19 (restecg)   %       -- 8. #32 (thalach)   %       -- 9. #38 (exang)     %       -- 10. #40 (oldpeak)   %       -- 11. #41 (slope)     %       -- 12. #44 (ca)        %       -- 13. #51 (thal)      %       -- 14. #58 (num)       (the predicted attribute)% %    -- Complete attribute documentation:%       1 id: patient identification number%       2 ccf: social security number (I replaced this with a dummy value of 0)%       3 age: age in years%       4 sex: sex (1 = male; 0 = female)%       5 painloc: chest pain location (1 = substernal; 0 = otherwise)%       6 painexer (1 = provoked by exertion; 0 = otherwise)%       7 relrest (1 = relieved after rest; 0 = otherwise)%       8 pncaden (sum of 5, 6, and 7)%       9 chest_pain: chest pain type%         -- Value 1: typical angina%         -- Value 2: atypical angina%         -- Value 3: non-anginal pain%         -- Value 4: asymptomatic%      10 trestbps: resting blood pressure (in mm Hg on admission to the %         hospital)%      11 htn%      12 chol: serum cholestoral in mg/dl%      13 smoke: I believe this is 1 = yes; 0 = no (is or is not a smoker)%      14 cigs (cigarettes per day)%      15 years (number of years as a smoker)%      16 fbs: (fasting blood sugar > 120 mg/dl)  (1 = true; 0 = false)%      17 dm (1 = history of diabetes; 0 = no such history)%      18 famhist: family history of coronary artery disease (1 = yes; 0 = no)%      19 restecg: resting electrocardiographic results%         -- Value 0: normal%         -- Value 1: having ST-T wave abnormality (T wave inversions and/or ST %                     elevation or depression of > 0.05 mV)%         -- Value 2: showing probable or definite left ventricular hypertrophy%                     by Estes' criteria%      20 ekgmo (month of exercise ECG reading)%      21 ekgday(day of exercise ECG reading)%      22 ekgyr (year of exercise ECG reading)%      23 dig (digitalis used furing exercise ECG: 1 = yes; 0 = no)%      24 prop (Beta blocker used during exercise ECG: 1 = yes; 0 = no)%      25 nitr (nitrates used during exercise ECG: 1 = yes; 0 = no)%      26 pro (calcium channel blocker used during exercise ECG: 1 = yes; 0 = no)%      27 diuretic (diuretic used used during exercise ECG: 1 = yes; 0 = no)%      28 proto: exercise protocol%           1 = Bruce     %           2 = Kottus%           3 = McHenry%           4 = fast Balke%           5 = Balke%           6 = Noughton %           7 = bike 150 kpa min/min  (Not sure if "kpa min/min" is what was %               written!)%           8 = bike 125 kpa min/min  %           9 = bike 100 kpa min/min%          10 = bike 75 kpa min/min%          11 = bike 50 kpa min/min%          12 = arm ergometer%      29 thaldur: duration of exercise test in minutes%      30 thaltime: time when ST measure depression was noted%      31 met: mets achieved%      32 thalach: maximum heart rate achieved%      33 thalrest: resting heart rate%      34 tpeakbps: peak exercise blood pressure (first of 2 parts)%      35 tpeakbpd: peak exercise blood pressure (second of 2 parts)%      36 dummy%      37 trestbpd: resting blood pressure%      38 exang: exercise induced angina (1 = yes; 0 = no)%      39 xhypo: (1 = yes; 0 = no)%      40 oldpeak = ST depression induced by exercise relative to rest%      41 slope: the slope of the peak exercise ST segment%         -- Value 1: upsloping%         -- Value 2: flat%         -- Value 3: downsloping%      42 rldv5: height at rest%      43 rldv5e: height at peak exercise%      44 ca: number of major vessels (0-3) colored by flourosopy%      45 restckm: irrelevant%      46 exerckm: irrelevant%      47 restef: rest raidonuclid (sp?) ejection fraction%      48 restwm: rest wall (sp?) motion abnormality%         0 = none%         1 = mild or moderate%         2 = moderate or severe