12/18/2023 0 Comments To heart 2 downloadInternational application of a new probability algorithm for the diagnosis of coronary artery disease. (in any major vessel: attributes 59 through 68 are vessels)ħ6 name: last name of patient (I replaced this with the dummy string "name")ĭetrano, R., Janosi, A., Steinbrunn, W., Pfisterer, M., Schmid, J., Sandhu, S., Guppy, K., Lee, S., & Froelicher, V. Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteriaĢ3 dig (digitalis used furing exercise ECG: 1 = yes 0 = no)Ģ4 prop (Beta blocker used during exercise ECG: 1 = yes 0 = no)Ģ5 nitr (nitrates used during exercise ECG: 1 = yes 0 = no)Ģ6 pro (calcium channel blocker used during exercise ECG: 1 = yes 0 = no)Ģ7 diuretic (diuretic used used during exercise ECG: 1 = yes 0 = no)ħ = bike 150 kpa min/min (Not sure if "kpa min/min" is what was written!)Ģ9 thaldur: duration of exercise test in minutesģ0 thaltime: time when ST measure depression was notedģ4 tpeakbps: peak exercise blood pressure (first of 2 parts)ģ5 tpeakbpd: peak exercise blood pressure (second of 2 parts)ģ8 exang: exercise induced angina (1 = yes 0 = no)Ĥ0 oldpeak = ST depression induced by exercise relative to restĤ1 slope: the slope of the peak exercise ST segmentĤ4 ca: number of major vessels (0-3) colored by flourosopyĤ7 restef: rest raidonuclid (sp?) ejection fractionĤ8 restwm: rest wall (sp?) motion abnormalityĤ9 exeref: exercise radinalid (sp?) ejection fractionĥ1 thal: 3 = normal 6 = fixed defect 7 = reversable defectĥ5 cmo: month of cardiac cath (sp?) (perhaps "call")ĥ8 num: diagnosis of heart disease (angiographic disease status) Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV) To see Test Costs (donated by Peter Turney), please see the folder "Costs"Ģ ccf: social security number (I replaced this with a dummy value of 0)ĥ painloc: chest pain location (1 = substernal 0 = otherwise)Ħ painexer (1 = provoked by exertion 0 = otherwise)ħ relrest (1 = relieved after rest 0 = otherwise)ġ0 trestbps: resting blood pressure (in mm Hg on admission to the hospital)ġ3 smoke: I believe this is 1 = yes 0 = no (is or is not a smoker)ġ6 fbs: (fasting blood sugar > 120 mg/dl) (1 = true 0 = false)ġ7 dm (1 = history of diabetes 0 = no such history)ġ8 famhist: family history of coronary artery disease (1 = yes 0 = no)ġ9 restecg: resting electrocardiographic results All four unprocessed files also exist in this directory. One file has been "processed", that one containing the Cleveland database. The names and social security numbers of the patients were recently removed from the database, replaced with dummy values. Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0). It is integer valued from 0 (no presence) to 4. ![]() The "goal" field refers to the presence of heart disease in the patient. In particular, the Cleveland database is the only one that has been used by ML researchers to This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.ĭavid W. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.Ĥ. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.ģ. Click here to try out the new site.ĭownload: Data Folder, Data Set DescriptionĪbstract: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beachġ. ![]() Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns.
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