Datasets:

mstz
/

heart

	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 (cp)
	-- 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 cp: 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
	3 = akinesis or dyskmem (sp?)
	49 exeref: exercise radinalid (sp?) ejection fraction
	50 exerwm: exercise wall (sp?) motion
	51 thal: 3 = normal; 6 = fixed defect; 7 = reversable defect
	52 thalsev: not used
	53 thalpul: not used
	54 earlobe: not used
	55 cmo: month of cardiac cath (sp?) (perhaps "call")
	56 cday: day of cardiac cath (sp?)
	57 cyr: year of cardiac cath (sp?)
	58 num: diagnosis of heart disease (angiographic disease status)
	-- Value 0: < 50% diameter narrowing
	-- Value 1: > 50% diameter narrowing
	(in any major vessel: attributes 59 through 68 are vessels)
	59 lmt
	60 ladprox
	61 laddist
	62 diag
	63 cxmain
	64 ramus
	65 om1
	66 om2
	67 rcaprox
	68 rcadist
	69 lvx1: not used
	70 lvx2: not used
	71 lvx3: not used
	72 lvx4: not used
	73 lvf: not used
	74 cathef: not used
	75 junk: not used
	76 name: last name of patient
	(I replaced this with the dummy string "name")

	9. Missing Attribute Values: Several. Distinguished with value -9.0.

	10. Class Distribution:
	Database: 0 1 2 3 4 Total
	Cleveland: 164 55 36 35 13 303
	Hungarian: 188 37 26 28 15 294
	Switzerland: 8 48 32 30 5 123
	Long Beach VA: 51 56 41 42 10 200