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1.
J Biomed Inform ; 108: 103493, 2020 08.
Article in English | MEDLINE | ID: mdl-32593693

ABSTRACT

Biomedical document retrieval requires entity level processing instead of term level. This paper explores the usage and impact of UMLS for entity-based query reformulation in biomedical document retrieval. A novel graph-based approach for query reformulation using UMLS is described herein which queries are expanded using biomedical entities. The proposed method considers UMLS entities from a query with their related entities identified by UMLS and constructs a query-specific graph of biomedical entities for term selection. This query reformulation approach is compared with baseline, pseudo relevance feedback based query expansion approach and state-of-the-art UMLS based query reformulation approaches. The experiments on CDS 2015 and CDS 2016 datasets shows 35% and 45% improvement in retrieval performance, respectively.


Subject(s)
Information Storage and Retrieval , Unified Medical Language System , Access to Information , Feedback
3.
Eur Neurol ; 64(3): 134-9, 2010.
Article in English | MEDLINE | ID: mdl-20664207

ABSTRACT

OBJECTIVE: To explore the prevalence of overweight and obesity in patients with migraine. BACKGROUND: Previous studies support the concept that obesity is an exacerbating factor for migraine. Also, some studies have found an increased frequency of obesity and overweight in migraine patients compared to the normal population. METHODS: We studied 1,371 patients with migraine and 612 controls. The migraine population was matched by gender with a healthy control group. RESULTS: Mean age of patients with migraine was 38.0 +/- 13.3 years and in the controls it was 34.8 +/- 12.1 years. The percentage of females in both groups was similar (migraine 81.6% vs. control 83.3%, p = 0.40). The distribution of body mass index (BMI) in migraine patients and controls was as follows: underweight patients (BMI <18.5) 3.1% migraine versus controls 1.5%; normal (BMI 18.5-24.9) 44.8% migraine versus controls 47.1%; overweight (BMI 25-29.9) 38.3% migraine versus controls 33.7%; obese (BMI 30-34.5) 10.3% migraine versus controls 13.6%; morbidly obese (BMI 35) 3.4% migraine versus controls 4.2%. Overweight and obesity in migraine patients versus controls were statistically significant. No association was found between the disability and severity of migraine and BMI. CONCLUSIONS: This study did not find associations between severity or disability of migraine and BMI.


Subject(s)
Body Mass Index , Migraine Disorders/epidemiology , Migraine Disorders/physiopathology , Adult , Chi-Square Distribution , Community Health Planning , Disabled Persons/statistics & numerical data , Female , Humans , Male , Middle Aged , Obesity/epidemiology , Overweight/epidemiology , Prevalence , Severity of Illness Index
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