id
stringclasses
29 values
document_id
stringclasses
29 values
text_1
stringclasses
29 values
text_2
stringclasses
29 values
label
stringclasses
16 values
0
0
Renal failure
Kidney failure
4.0
1
1
Abortion
Miscarriage
3.15
2
2
Heart
Myocardium
3.15
3
3
Stroke
Infarct
2.9
4
4
Delusion
Schizophrenia
2.6
5
5
Calcification
Stenosis
2.35
6
6
Tumor metastasis
Adenocarcinoma
2.25
7
7
Congestive heart failure
Pulmonary edema
2.2
8
8
Pulmonary fibrosis
Malignant tumor of lung
1.5499999999999998
9
9
Diarrhea
Stomach cramps
1.7999999999999998
10
10
Mitral stenosis
Atrial fibrillation
1.7999999999999998
11
11
Brain tumor
Intracranial hemorrhage
1.65
12
12
Antibiotic
Allergy
1.45
13
13
Pulmonary embolus
Myocardial infarction
1.45
14
14
Carpal tunnel syndrome
Osteoarthritis
1.55
15
15
Rheumatoid arthritis
Lupus
1.55
16
16
Acne
Syringe
1.5
17
17
Diabetes mellitus
Hypertension
1.5
18
18
Cortisone
Total knee replacement
1.35
19
19
Cholangiocarcinoma
Colonoscopy
1.15
20
20
Lymphoid hyperplasia
Laryngeal cancer
1.15
21
21
Appendicitis
Osteoporosis
1.0
22
22
Depression
Cellulitis
1.0
23
23
Hyperlipidemia
Tumor metastasis
1.0
24
24
Multiple sclerosis
Psychosis
1.0
25
25
Peptic ulcer disease
Myopia
1.0
26
26
Rectal polyp
Aorta
1.0
27
27
Varicose vein
Entire knee meniscus
1.0
28
28
Xerostomia
Alcoholic cirrhosis
1.0

Dataset Card for MiniMayoSRS

MiniMayoSRS is a subset of the MayoSRS and consists of 30 term pairs on which a higher inter-annotator agreement was achieved. The average correlation between physicians is 0.68. The average correlation between medical coders is 0.78.

Citation Information

@article{pedersen2007measures,
  title={Measures of semantic similarity and relatedness in the biomedical domain},
  author={Pedersen, Ted and Pakhomov, Serguei VS and Patwardhan, Siddharth and Chute, Christopher G},
  journal={Journal of biomedical informatics},
  volume={40},
  number={3},
  pages={288--299},
  year={2007},
  publisher={Elsevier}
}
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