Mining Calendar-based Periodic Patterns from Nonbinary Transactions

2014 ◽  
Vol 23 (3) ◽  
pp. 277-291 ◽  
Author(s):  
Jhimli Adhikari
Keyword(s):  
Real Life ◽  
Frequent Itemsets ◽  
Periodic Pattern ◽  
Temporal Data ◽  
Certainty Factor ◽  
Periodic Patterns ◽  
Business Decisions ◽  
Life Data ◽  
Real Life Data

AbstractA large class of problems deals with temporal data. Identifying temporal patterns in these datasets is a natural as well as an important task. In recent times, researchers have reported an algorithm for finding calendar-based periodic pattern in time-stamped data without considering the purchased quantities of the items. However, most of the real-life databases are nonbinary, and therefore, exploring various calendar-based patterns (yearly, monthly, weekly, daily) with their purchased quantities may discover information useful to improve the quality of business decisions. In this article, a technique is proposed to extract calendar-based periodic patterns from nonbinary transactions. In this connection, the concept of certainty factor has been introduced by incorporating transaction frequency for overlapped intervals. Algorithms have been designed to mine frequent itemsets along with intervals and quantity. In addition to that, we have designed an algorithm to find the periodicity of the pattern. The algorithm is tested with real-life data, and the results are given.

scholarly journals 1533P Real-life data from the platform for outcome, quality of life and translational research on pancreatic cancer - PARAGON

2020 ◽  
Vol 31 ◽  
pp. S943
Author(s):  
S-E. Al-Batran ◽  
W. Blau ◽  
R. Liersch ◽  
S. Mahlmann ◽  
A. Lueck ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Pancreatic Cancer ◽  
Translational Research ◽  
Real Life ◽  
Outcome Quality ◽  
Life Data ◽  
Real Life Data

scholarly journals The Use of HSQoL-24 in an Assessment of Quality-of-Life Impairment among Hidradenitis Suppurativa Patients: First Look at Real-Life Data

2021 ◽  
Vol 10 (22) ◽  
pp. 5446
Author(s):  
Piotr K. Krajewski ◽  
Servando E. Marrón ◽  
Manuel Gomez-Barrera ◽  
Lucía Tomas-Aragones ◽  
Yolanda Gilaberte-Calzada ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Hidradenitis Suppurativa ◽  
Disease Onset ◽  
Real Life ◽  
Clinical Settings ◽  
Life Data ◽  
Real Life Data ◽  
Inflammatory Skin Disorder ◽  
Family House

Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder with well-documented effects on patients’ quality of life (QoL). The aim of this study was to evaluate the QoL of patients with HS via the use of a newly developed questionnaire: Hidradenitis Suppurativa Quality of Life-24 (HSQoL-24). This study was performed on a population of 342 HS patients. Their QoL was assessed via the HSQoL-24 questionnaire. The perceived impairment of QoL due to HS in the studied group was considered to be serious (mean HSQoL-24 score: 58.3 ± 21.0 points). Women tended to experience a significantly higher impact from the disease than men (61.6 ± 19.2 points vs. 51.1 ± 23.1 points, p < 0.001). The HS severity had an effect on the perceived QoL, with statistically significant differences being evident between the self-assessed HS severity groups. The level of QoL impairment correlated positively with the number of affected body areas (r = 0.285, p < 0.001) and the duration of the disease (r = 0.173, p = 0.001), while the patients’ age at disease onset correlated negatively with the HSQoL-24 global score (r = −0.182, p = 0.001). Patients living in their family house scored higher than other groups. The least affected were patients who lived alone. The study shows that the HSQoL-24 questionnaire is a reliable, HS-specific tool for measuring the QoL among patients with HS in real-life clinical settings.

Pruritus strongly reduces quality of life in PBC patients – real life data from a large national survey

2018 ◽  
Vol 68 ◽  
pp. S216 ◽  
Author(s):  
S. Hönig ◽  
B. Herder ◽  
A. Kautz ◽  
C. Trautwein ◽  
A. Kremer
Keyword(s):  
Quality Of Life ◽  
National Survey ◽  
Real Life ◽  
Life Data ◽  
Real Life Data

scholarly journals Evidence-based quality indicators for primary healthcare in association with the risk of hospitalisation: a population-based cohort study in Switzerland

BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e032700
Author(s):  
Carola A Huber ◽  
Martin Scherer ◽  
Roland Rapold ◽  
Eva Blozik
Keyword(s):  
Cohort Study ◽  
Quality Indicators ◽  
Real Life ◽  
Glycated Haemoglobin ◽  
Potentially Inappropriate Medications ◽  
Patient Level ◽  
Life Data ◽  
Real Life Data ◽  
Hba1c Control

ObjectivesThe quality of ambulatory care in Switzerland is widely unknown. Therefore, this study aimed to evaluate the recently proposed quality indicators (QIs) based on a nationwide healthcare claims database and determine their association with the risk of subsequent hospitalisation at patient-level.DesignRetrospective cohort study.SettingInpatient and outpatient claims data of a large health insurance in Switzerland covering all regions and population strata.Participants520 693 patients continuously insured during 2015 and 2016.MeasuresA total of 24 QIs were obtained by adapting the existing instruments to the Swiss national context and measuring at patient-level. The association between each QI and hospitalisation in the subsequent year was assessed using multiple logistic regression models.ResultsThe proportion of patients with good adherence to QIs was high for the secondary prevention of diabetes and myocardial infarction (glycated haemoglobin (HbA1c) control, 89%; aspirin use, 94%) but relatively low for polypharmacy (53%) or using potentially inappropriate medications (PIMs) in the elderly (PIM, 33%). Diabetes-related indicators such as the HbA1c control were significantly associated with a lower risk of hospitalisation (OR, 0.87; 95% CI, 0.80 to 0.95), whereas the occurrence of polypharmacy and PIM increased the risk of hospitalisation in the following year (OR, 1.57/1.08; 95% CI, 1.51 to 1.64/1.05 to 1.12).ConclusionsThis is the first study to evaluate the recently presented QIs in Switzerland using nationwide real-life data. Our study suggests that the quality of healthcare, as measured by these QIs, varied. The majority of QIs, in particular QIs reflecting chronic care and medication use, are considered beneficial markers of healthcare quality as they were associated with reduced risk of hospitalisation in the subsequent year. Results from this large practical test on real-life data show the feasibility of these QIs and are beneficial in selecting the appropriate QIs for healthcare implementation in general practice.

PH-0272 Prospective quality of life in 682 lung cancer patients treated with radiotherapy: real life data

2021 ◽  
Vol 161 ◽  
pp. S181-S182
Author(s):  
M. Nies ◽  
R. Wijsman ◽  
O. Chouvalova ◽  
F.J. Ubbels ◽  
H.J. Elzinga ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Lung Cancer ◽  
Cancer Patients ◽  
Real Life ◽  
Lung Cancer Patients ◽  
Life Data ◽  
Real Life Data
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