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Journal articles on the topic 'HUIM'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Nawaz, M. Saqib, Philippe Fournier-Viger, Unil Yun, Youxi Wu, and Wei Song. "Mining High Utility Itemsets with Hill Climbing and Simulated Annealing." ACM Transactions on Management Information Systems 13, no. 1 (2022): 1–22. http://dx.doi.org/10.1145/3462636.

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High utility itemset mining (HUIM) is the task of finding all items set, purchased together, that generate a high profit in a transaction database. In the past, several algorithms have been developed to mine high utility itemsets (HUIs). However, most of them cannot properly handle the exponential search space while finding HUIs when the size of the database and total number of items increases. Recently, evolutionary and heuristic algorithms were designed to mine HUIs, which provided considerable performance improvement. However, they can still have a long runtime and some may miss many HUIs.

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Nawaz, M. Saqib, Philippe Fournier-Viger, Unil Yun, Youxi Wu, and Wei Song. "Mining High Utility Itemsets with Hill Climbing and Simulated Annealing." ACM Transactions on Management Information Systems 13, no. 1 (2022): 1–22. http://dx.doi.org/10.1145/3462636.

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High utility itemset mining (HUIM) is the task of finding all items set, purchased together, that generate a high profit in a transaction database. In the past, several algorithms have been developed to mine high utility itemsets (HUIs). However, most of them cannot properly handle the exponential search space while finding HUIs when the size of the database and total number of items increases. Recently, evolutionary and heuristic algorithms were designed to mine HUIs, which provided considerable performance improvement. However, they can still have a long runtime and some may miss many HUIs.

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3

Sagare, Sandipkumar Chandrakant, and Dattatraya Vishnu Kodavade. "C-HUIM." International Journal of Software Innovation 10, no. 1 (2022): 1–11. http://dx.doi.org/10.4018/ijsi.307015.

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High-utility itemset mining is one of the highly researched area. Many research enthusiasts have discovered various techniques and algorithms to mine high-utility itemsets from transaction databases. One of the limitations of the existing high-utility itemset mining techniques is that there is no any generalized framework for applying the custom combinations of input parameters and any other constraints for mining high utility itemsets. This paper proposes a novel customizable framework to discover customized high utility itemsets (C-HUI). Users can customize the constraints and/or input param

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Fournier-Viger, Philippe, Yimin Zhang, Jerry Chun-Wei Lin, Duy-Tai Dinh, and Hoai Bac Le. "Mining correlated high-utility itemsets using various measures." Logic Journal of the IGPL 28, no. 1 (2020): 19–32. http://dx.doi.org/10.1093/jigpal/jzz068.

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Abstract Discovering high-utility itemsets (HUIs) consists of finding sets of items that yield a high profit in customer transaction databases. An important limitation of traditional high-utility itemset mining (HUIM) is that only the utility measure is used for assessing the interestingness of patterns. This leads to finding several itemsets that have a high profit but contain items that are weakly correlated. To address this issue, this paper proposes to integrate the concept of correlation in HUIM to find profitable itemsets that are highly correlated, using the all-confidence and bond meas

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V. Jeevika Tharini. "Cross-Entropy Assisted Optimization Technique for High Utility Itemset Mining from the Transactional Database." Communications on Applied Nonlinear Analysis 31, no. 3s (2024): 90–104. http://dx.doi.org/10.52783/cana.v31.734.

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High Utility Itemset Mining (HUIM) is the process of discovering profitable itemsets in a transactional database with a high utility or profit range. This technique is mainly used to unearth the prominent patterns and insights from large volumes of data. The main goal of HUIM is to utilize optimization techniques that improve the efficiency of mining operations. This research article introduces a Genetic Algorithm (GA) integrated Bacterial Foraging Algorithm (BFA) based on the HUIM technique, which is efficient due to its exploitation and exploration ability. This incorporation intends to addr

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Logeswaran, K., P. Suresh, and S. Anandamurugan. "Particle Swarm Optimization Method Combined with off Policy Reinforcement Learning Algorithm for the Discovery of High Utility Itemset." Information Technology and Control 52, no. 1 (2023): 25–36. http://dx.doi.org/10.5755/j01.itc.52.1.31949.

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Mining of High Utility Itemset (HUI) is an area of high importance in data mining that involves numerous methodologies for addressing it effectively. When the diversity of items and size of an item is quite vast in the given dataset, then the problem search space that needs to be solved by conventional exact approaches to High Utility Itemset Mining (HUIM) also increases in terms of exponential. This factual issue has made the researchers to choose alternate yet efficient approaches based on Evolutionary Computation (EC) to solve the HUIM problem. Particle Swarm Optimization (PSO) is an EC-bas

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Tataw, David B., and Shahrzad Bazargan-Hejazi. "Impact of the Health Services Utilization and Improvement Model (HUIM) on Self Efficacy and Satisfaction among a Head Start Population." Journal of Health and Human Services Administration 33, no. 2 (2010): 228–56. http://dx.doi.org/10.1177/107937391003300203.

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The aim of this paper is to evaluate and report the impact of the Health Services Utilization Improvement Model (HUIM) on utilization and satisfaction with care, as well as knowledge regarding prevention, detection, and treatment of asthma, diabetes, tuberculosis, and child injury among low income health services consumers. HUIM outcomes data shows that the coupling of parental education and ecological factors (service linkage and provider orientation) impacts the health services utilization experience of low income consumers evidenced by improved self-efficacy (knowledge and voice), and satis

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Saeed, Rashad, Azhar Rauf, Fahmi H. Quradaa, and Syed Muhammad Asim. "Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation." Complexity 2021 (July 27, 2021): 1–18. http://dx.doi.org/10.1155/2021/7310137.

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High Utility Itemset Mining (HUIM) is one of the most investigated tasks of data mining. It has broad applications in domains such as product recommendation, market basket analysis, e-learning, text mining, bioinformatics, and web click stream analysis. Insights from such pattern analysis provide numerous benefits, including cost cutting, improved competitive advantage, and increased revenue. However, HUIM methods may discover misleading patterns as they do not evaluate the correlation of extracted patterns. As a consequence, a number of algorithms have been proposed to mine correlated HUIs. T

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K., Rajendra Prasad. "Optimized High-Utility Itemsets Mining for Effective Association Mining Paper." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2911–18. https://doi.org/10.11591/ijece.v7i5.pp2911-2918.

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Association rule mining is intently used for determining the frequent itemsets of transactional database; however, it is needed to consider the utility of itemsets in market behavioral applications. Apriori or FP-growth methods generate the association rules without utility factor of items. High-utility itemset mining (HUIM) is a well-known method that effectively determines the itemsets based on high-utility value and the resulting itemsets are known as high-utility itemsets. Fastest high-utility mining method (FHM) is an enhanced version of HUIM. FHM reduces the number of join operations dur

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Prasad, K. Rajendra. "Optimized High-Utility Itemsets Mining for Effective Association Mining Paper." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2911. http://dx.doi.org/10.11591/ijece.v7i5.pp2911-2918.

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Association rule mining is intently used for determining the frequent itemsets of transactional database; however, it is needed to consider the utility of itemsets in market behavioral applications. Apriori or FP-growth methods generate the association rules without utility factor of items. High-utility itemset mining (HUIM) is a well-known method that effectively determines the itemsets based on high-utility value and the resulting itemsets are known as high-utility itemsets. Fastest high-utility mining method (FHM) is an enhanced version of HUIM. FHM reduces the number of join operations dur

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Cheng, Haodong, Meng Han, Ni Zhang, Xiaojuan Li, and Le Wang. "A Survey of incremental high-utility pattern mining based on storage structure." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 841–66. http://dx.doi.org/10.3233/jifs-202745.

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Traditional association rule mining has been widely studied, but this is not applicable to practical applications that must consider factors such as the unit profit of the item and the purchase quantity. High-utility itemset mining (HUIM) aims to find high-utility patterns by considering the number of items purchased and the unit profit. However, most high-utility itemset mining algorithms are designed for static databases. In real-world applications (such as market analysis and business decisions), databases are usually updated by inserting new data dynamically. Some researchers have proposed

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Altuntas, Serkan. "A novel approach based on utility mining for store layout: a case study in a supermarket." Industrial Management & Data Systems 117, no. 2 (2017): 304–19. http://dx.doi.org/10.1108/imds-01-2016-0040.

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Purpose The purpose of this paper is to propose a novel approach based on utility mining for store layout. Design/methodology/approach A utility mining-based data mining algorithm is utilized in this paper. Findings A real-life case study in a supermarket is conducted to illustrate the proposed approach. The findings show that the proposed approach can be used easily and efficiently to arrange store layout. Research limitations/implications There are two limitations to this study. First, space allocation to each product family is not considered. Second, product placement in each product family

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N.T, Tung, Nguyen Le Van, Trinh Cong Nhut, and Tran Van Sang. "MINING OF HIGH-UTILITY ITEMSETS WITH NEGATIVE UTILITY." JOURNAL OF TECHNOLOGY & INNOVATION 1, no. 2 (2020): 44–47. http://dx.doi.org/10.26480/jtin.02.2021.44.47.

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The goal of the high-utility itemset mining task is to discover combinations of items that yield high profits from transactional databases. HUIM is a useful tool for retail stores to analyze customer behaviors. However, in the real world, items are found with both positive and negative utility values. To address this issue, we propose an algorithm named Modified Efficient High‐utility Itemsets mining with Negative utility (MEHIN) to find all HUIs with negative utility. This algorithm is an improved version of the EHIN algorithm. MEHIN utilizes 2 new upper bounds for pruning, named revised subt

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Huisman, Marijke. "Weg met het handboek!" Tijdschrift voor geschiedenis 130, no. 2 (2017): 261–64. http://dx.doi.org/10.5117/tvgesch2017.2.huim.

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Lin, Jerry Chun-Wei, Youcef Djenouri, Gautam Srivastava, and Philippe Fournier-Viger. "Mining Profitable and Concise Patterns in Large-Scale Internet of Things Environments." Wireless Communications and Mobile Computing 2021 (September 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/6653816.

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In recent years, HUIM (or a.k.a. high-utility itemset mining) can be seen as investigated in an extensive manner and studied in many applications especially in basket-market analysis and its relevant applications. Since current basket-market scenario also involves IoT equipment to collect information, i.e., sensor or smart devices, it is necessary to consider the mining of HUIs (or a.k.a. high-utility itemsets) in a large-scale database especially with IoT situations. First, a GA-based MapReduce model is presented in this work known as GMR-Miner for mining closed patterns with high utilization

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Lin, Jerry Chun-Wei, Matin Pirouz, Youcef Djenouri, Chien-Fu Cheng, and Usman Ahmed. "Incrementally updating the high average-utility patterns with pre-large concept." Applied Intelligence 50, no. 11 (2020): 3788–807. http://dx.doi.org/10.1007/s10489-020-01743-y.

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Abstract High-utility itemset mining (HUIM) is considered as an emerging approach to detect the high-utility patterns from databases. Most existing algorithms of HUIM only consider the itemset utility regardless of the length. This limitation raises the utility as a result of a growing itemset size. High average-utility itemset mining (HAUIM) considers the size of the itemset, thus providing a more balanced scale to measure the average-utility for decision-making. Several algorithms were presented to efficiently mine the set of high average-utility itemsets (HAUIs) but most of them focus on ha

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Aditya, Nellutla, and Srinivasan N. "A Scalable High Utilization Itemset Mining Technique for Large Datasets Using A Bit-Based Model." Indian Journal of Science and Technology 16, no. 3 (2023): 204–13. https://doi.org/10.17485/IJST/v16i3.1972.

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ABSTRACT <strong>Objectives:</strong> Utility-list based algorithms have gained a lot of traction due to their efficiency and the ease with which they may be modified. While there have been some enhancements, the problem of inefficiency persists. This research presents a solution to this issue by enhancing the utility-list building process, a crucial function that has received little attention in previous studies. Also, the research aims at reducing memory complexity and better performance than existing approaches. <strong>Methods:</strong> To expedite building, a new set of bit

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Feeny, David, Christopher Blanchard, Jeffrey L. Mahon, et al. "COMPARING COMMUNITY-PREFERENCE–BASED AND DIRECT STANDARD GAMBLE UTILITY SCORES: EVIDENCE FROM ELECTIVE TOTAL HIP ARTHROPLASTY." International Journal of Technology Assessment in Health Care 19, no. 2 (2003): 362–72. http://dx.doi.org/10.1017/s0266462303000321.

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Objectives: Do utility scores based on patient preferences and scores based on community preferences agree? The purpose is to assess agreement between directly measured standard gamble (SG) utility scores and utility scores from the Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3) systems.Methods: Patients were assessed repeatedly throughout the process of waiting to see a surgeon, waiting for surgery, and recovery after total hip arthroplasty (THA). Group mean scores are compared using paired t-tests. Agreement is assessed using the intraclass correlation coefficient (ICC).Results: The

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Treviño, R. P., T. H. Pham, and S. L. Edelstein. "Obesity and Preference-Weighted Quality of Life of Ethnically Diverse Middle School Children: The HEALTHY Study." Journal of Obesity 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/206074.

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To date, studies examining the relation between body mass index percentile (BMI%) categories and health-related quality of life (QOL) measurements have not reported preference-weighted scores among ethnically diverse children. We report the associations between BMI% categories and preference-weighted scores among a large cohort of ethnically diverse sixth grade children who participated in the HEALTHY school-based type 2 diabetes risk factor prevention study. Health Utility Index 2 (HUI2) and Health Utility Index 3 (HUI3) and the feeling thermometer (FT) were the preference-weighted QOL instru

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Jones, C. Allyson, David Feeny, and Ken Eng. "Test–retest reliability of health utilities index scores: Evidence from hip fracture." International Journal of Technology Assessment in Health Care 21, no. 3 (2005): 393–98. http://dx.doi.org/10.1017/s0266462305050518.

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Objectives:There is relatively little evidence on the test–retest reliability of utility scores derived from multiattribute measures. The objective was to estimate test–retest reliability for Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3) utility scores in patients recovering from hip fracture.Methods:We enrolled an inception cohort of hip fracture patients within 3 to 5 days of surgery. Baseline assessments included the Functional Independence Measure (FIM™), Folstein Mini-Mental State Examinations, and the HUI2 and HUI3 questionnaire. Follow-up assessments at 1, 3, and 6 months also

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Wu, Jimmy Ming-Tai, Qian Teng, Gautam Srivastava, Matin Pirouz, and Jerry Chun-Wei Lin. "The Efficient Mining of Skyline Patterns from a Volunteer Computing Network." ACM Transactions on Internet Technology 21, no. 4 (2021): 1–20. http://dx.doi.org/10.1145/3423557.

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In the ever-growing world, the concepts of High-utility Itemset Mining (HUIM) as well as Frequent Itemset Mining (FIM) are fundamental works in knowledge discovery. Several algorithms have been designed successfully. However, these algorithms only used one factor to estimate an itemset. In the past, skyline pattern mining by considering both aspects of frequency and utility has been extensively discussed. In most cases, however, people tend to focus on purchase quantities of itemsets rather than frequencies. In this article, we propose a new knowledge called skyline quantity-utility pattern (S

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Nguyen, Loan T. T., Hoa Duong, An Mai, and Bay Vo. "Multi-level high utility-itemset hiding." PLOS ONE 20, no. 2 (2025): e0317427. https://doi.org/10.1371/journal.pone.0317427.

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Privacy is as a critical issue in the age of data. Organizations and corporations who publicly share their data always have a major concern that their sensitive information may be leaked or extracted by rivals or attackers using data miners. High-utility itemset mining (HUIM) is an extension to frequent itemset mining (FIM) which deals with business data in the form of transaction databases, data that is also in danger of being stolen. To deal with this, a number of privacy-preserving data mining (PPDM) techniques have been introduced. An important topic in PPDM in the recent years is privacy-

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Kwon, Joseph, Corneliu Bolbocean, Olu Onyimadu, Nia Roberts, and Stavros Petrou. "Psychometric Performance of Generic Childhood Multi-Attribute Utility Instruments in Preterm and Low Birthweight Populations." Children 10, no. 11 (2023): 1798. http://dx.doi.org/10.3390/children10111798.

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Background: Individuals born preterm (gestational age < 37 weeks) and/or at low birthweight (<2500 g) are at increased risk of health impairments from birth to adulthood. This review aimed to evaluate the psychometric performance of generic childhood-specific or childhood-compatible multi-attribute utility instruments (MAUIs) in preterm and/or low birthweight (PLB) populations. Methods: Searches covered seven databases, including studies that targeted childhood (aged < 18 years) and/or adult (≥18 years) PLB populations; provided psychometric evidence for generic childhood-specific or

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Lê, Nguyện, Thành Phạm Đức та Duy Trần Anh. "Khai thác tập mục hữu ích cao từ các luồng dữ liệu dựa trên di truyền". Tạp chí Khoa học HUFLIT 9, № 1 (2025): 45. https://doi.org/10.71091/2354-113x/233.

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Khai thác tập mục hữu ích cao (HUIM) từ các luồng dữ liệu với thời gian và không gian giới hạn là một nhiệm vụ đầy thách thức. Các thuật toán truyền thống thường phải quét dữ liệu nhiều lần và sử dụng các cấu trúc dữ liệu phức tạp để kết nối, lưu trữ và cập nhật thông tin. Hơn nữa, việc mất các tập mục do các thuật toán heuristic gây ra và việc đánh giá các tập mục trùng lặp được tạo ra bởi các lô dữ liệu thông thường đều góp phần làm cho thuật toán kém hiệu quả về thời gian và không gian. Để giải quyết những vấn đề này, chúng tôi đề xuất một thuật toán mới dựa trên giải thuật di truyền (GA) đ

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Bashir, Naazish S., Thomas D. Walters, Anne M. Griffiths, and Wendy J. Ungar. "An Assessment of the Validity and Reliability of the Pediatric Child Health Utility 9D in Children with Inflammatory Bowel Disease." Children 8, no. 5 (2021): 343. http://dx.doi.org/10.3390/children8050343.

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Health utilities relevant to children are lacking, compromising health funding and policy decisions for children. The Child Health Utility 9D (CHU9D) is a recently developed preference-based health utility instrument designed for use in children. The objective was to examine the validity of the CHU9D in a cohort of 285 Canadian children aged 6.5 to 18 years of age with Crohn’s disease (CD) and ulcerative colitis (UC), (collectively inflammatory bowel disease (IBD)). The correlation and agreement between paired CHU9D and Health Utility Index (HUI) assessments were determined with Spearman coeff

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Petrou, Stavros, Kamran Khan, and Colin Kennedy. "Bilateral Permanent Childhood Hearing Loss and Health-Related Quality of Life in Adolescence." Children 8, no. 6 (2021): 484. http://dx.doi.org/10.3390/children8060484.

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Little is known about the impact of bilateral permanent childhood hearing loss (PCHL) on health-related quality of life (HRQoL). The objective of this study was to describe preference-based and non-preference based HRQoL outcomes in adolescence, from both self and proxy perspectives, amongst participants of the Hearing Outcomes Project. The Health Utilities Index Marks II (HUI2) and III (HUI3) and the PedsQLTM Version 4.0 Generic Core Scales were used to measure HRQoL based on self and parent proxy reports in 114 adolescents aged 13–19 years, 76 with bilateral PCHL and 38 with normal hearing,

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Shimoda, Sandra, Beatriz de Shimoda Camargo, John Horsman, et al. "Translation and cultural adaptation of Health Utilities Index (HUI) Mark 2 (HUI2) and Mark 3 (HUI3) with application to survivors of childhood cancer in Brazil." Quality of Life Research 14, no. 5 (2005): 1407–12. http://dx.doi.org/10.1007/s11136-004-6127-3.

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Niwata, S., Y. Yamada, and N. Ikegami. "PPN19: COMPARISON OF HUI2 AND HUI3 SCORES FOR PATIENTS WITH ALZHEIMER'S DISEASE." Value in Health 4, no. 2 (2001): 160. http://dx.doi.org/10.1046/j.1524-4733.2001.40202-241.x.

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Santana, Maria-Jose, David Feeny, Katherine Jackson, Justin Weinkauf, and Dale Lien. "Improvement in Health-Related Quality of Life After Lung Transplantation." Canadian Respiratory Journal 16, no. 5 (2009): 153–58. http://dx.doi.org/10.1155/2009/843215.

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BACKGROUND/OBJECTIVE: Traditional survival outcomes do not reflect the effects on the health-related quality of life (HRQL) of patients. HRQL following lung transplantation has not been studied systematically. The Health Utilities Index (HUI) is a family (HUI2 and HUI3) of measures of HRQL that has not been previously used to assess HRQL in lung transplantation. The objective of the present study was to assess the impact of lung transplantation on patient’s HRQL using the HUI.METHODS: A total of 43 patients completed a battery of questionnaires before lung transplantation, and at three months

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Tang, Xiaodan, Ron Hays, David Cella, and Janel Hanmer. "PCR99 Mapping between the HUI2/HUI3 and the PROPr in the United States." Value in Health 28, no. 6 (2025): S328—S329. https://doi.org/10.1016/j.jval.2025.04.1419.

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Wang, Le, and Shui Wang. "HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth." PLOS ONE 16, no. 3 (2021): e0248349. http://dx.doi.org/10.1371/journal.pone.0248349.

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In recent years, high utility itemsets (HUIs) mining has been an active research topic in data mining. In this study, we propose two efficient pattern-growth based HUI mining algorithms, called High Utility Itemset based on Length and Tail-Node tree (HUIL-TN) and High Utility Itemset based on Tail-Node tree (HUI-TN). These two algorithms avoid the time-consuming candidate generation stage and the need of scanning the original dataset multiple times for exact utility values. A novel tree structure, named tail-node tree (TN-tree) is proposed as a key element of our algorithms to maintain complet

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Grutters, Janneke P. C., Manuela A. Joore, Frans van der Horst, Hans Verschuure, Wouter A. Dreschler, and Lucien J. C. Anteunis. "Choosing between measures: comparison of EQ-5D, HUI2 and HUI3 in persons with hearing complaints." Quality of Life Research 16, no. 8 (2007): 1439–49. http://dx.doi.org/10.1007/s11136-007-9237-x.

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Feeny, David, William Furlong, Saroj Saigal, and Jian Sun. "Comparing directly measured standard gamble scores to HUI2 and HUI3 utility scores: group- and individual-level comparisons." Social Science & Medicine 58, no. 4 (2004): 799–809. http://dx.doi.org/10.1016/s0277-9536(03)00254-5.

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Felter, Brian, Angie Mae Rodday, and Susan K. Parsons. "505 Comparison of profile and utility measures of health-related quality of life in pediatric Hodgkin lymphoma." Journal of Clinical and Translational Science 9, s1 (2025): 148. https://doi.org/10.1017/cts.2024.1089.

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Objectives/Goals: Our aim is to compare scores collected from a health utilities measure (Health Utility Index, HUI) to those collected from a profile measure (Child Health Ratings Inventories, CHRIs- Global) among youth with newly diagnosed, high-risk classic Hodgkin lymphoma. Methods/Study Population: We will analyze existing data collected during the Children’s Oncology Group AHOD 1331 trial, which was a phase 3 clinical trial comparing the efficacy of adding brentuximab vedotin to standard-of-care treatment with multiagent chemotherapy in children and adolescents with high-risk Hodgkin lym

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Janssen, Mathieu F. (Bas), Erwin Birnie, and Gouke J. Bonsel. "Evaluating the discriminatory power of EQ-5D, HUI2 and HUI3 in a US general population survey using Shannon’s indices." Quality of Life Research 16, no. 5 (2007): 895–904. http://dx.doi.org/10.1007/s11136-006-9160-6.

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Presky, David H., Lisa J. Minetti, Silke Gillessen, et al. "Analysis of the Multiple Interactions Between IL-12 and the High Affinity IL-12 Receptor Complex." Journal of Immunology 160, no. 5 (1998): 2174–79. http://dx.doi.org/10.4049/jimmunol.160.5.2174.

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Abstract IL-12 is a heterodimeric cytokine, composed of a p40 and a p35 subunit, that exerts its biological effects by binding to specific cell surface receptors. Two IL-12R proteins, designated human IL-12 (huIL-12) receptor β1 (huIL-12Rβ1) and huIL-12Rβ2, have been previously identified. These IL-12R individually bind huIL-12 with low affinity and in combination bind huIL-12 with high affinity and confer IL-12 responsiveness. In this study the interactions of huIL-12 with these two identified human IL-12R protein subunits are examined. The heterodimer-specific anti-huIL-12 mAb 20C2, which ne

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Summerfield, A. Q., and G. R. Barton. "Sensitivity of EQ-5D-3L, HUI2, HUI3, and SF-6D to changes in speech reception and tinnitus associated with cochlear implantation." Quality of Life Research 28, no. 5 (2018): 1145–54. http://dx.doi.org/10.1007/s11136-018-2070-6.

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Tassone, Pierfrancesco, Paola Neri, Daniel R. Carrasco, et al. "A clinically relevant SCID-hu in vivo model of human multiple myeloma." Blood 106, no. 2 (2005): 713–16. http://dx.doi.org/10.1182/blood-2005-01-0373.

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Abstract We developed a novel in vivo multiple myeloma (MM) model by engrafting the interleukin 6 (IL-6)-dependent human MM cell line INA-6 into severe combined immunodeficiency (SCID) mice previously given implants of a human fetal bone chip (SCID-hu mice). INA-6 cells require either exogenous human IL-6 (huIL-6) or bone marrow stromal cells (BMSCs) to proliferate in vitro. In this model, we monitored the in vivo growth of INA-6 cells stably transduced with a green fluorescent protein (GFP) gene (INA-6GFP+ cells). INA-6 MM cells engrafted in SCID-hu mice but not in SCID mice that had not been

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Keefe, Terry, Jean-Paul Sartre, and Keith Gore. "Huis Clos." Modern Language Review 85, no. 2 (1990): 460. http://dx.doi.org/10.2307/3731874.

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Feuerstein, Thomas. "Huit dessins." Multitudes 15, no. 1 (2004): 141. http://dx.doi.org/10.3917/mult.015.0141.

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van Vliet, Annette. "Droge huid." Tijdschrift voor praktijkondersteuning 6, no. 6 (2011): 176. http://dx.doi.org/10.1007/s12503-011-0105-3.

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Arnold, IA, JAH Eekhof, and A. Knuistingh Neven. "Vitiligocorticosteroïden huid." Huisarts en Wetenschap 45, no. 7 (2002): 443–45. http://dx.doi.org/10.1007/bf03082953.

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Cabestan, Jean-Pierre. "Vers un sommet Jiang Zemin - Lee Teng-hui ? A propos du discours en huit points de Jiang Zemin et de la réponse en six points de Lee Teng-hui." Perspectives chinoises 28, no. 1 (1995): 43–49. http://dx.doi.org/10.3406/perch.1995.1858.

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Stone, Allison C., Robert C. Noland, Randall L. Mynatt, et al. "Female Mice Are Protected from Metabolic Decline Associated with Lack of Skeletal Muscle HuR." Biology 10, no. 6 (2021): 543. http://dx.doi.org/10.3390/biology10060543.

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Male mice lacking HuR in skeletal muscle (HuRm−/−) have been shown to have decreased gastrocnemius lipid oxidation and increased adiposity and insulin resistance. The same consequences have not been documented in female HuRm−/− mice. Here we examine this sexually dimorphic phenotype. HuRm−/− mice have an increased fat mass to lean mass ratio (FM/LM) relative to controls where food intake is similar. Increased body weight for male mice correlates with increased blood glucose during glucose tolerance tests (GTT), suggesting increased fat mass in male HuRm−/− mice as a driver of decreased glucose

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Tousignant, Charles, and Nora Morales. "City slum." I. La prévention : un travail sur le social, no. 11 (January 18, 2016): 9–19. http://dx.doi.org/10.7202/1034620ar.

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Depuis plus de dix ans qu’elle est connue des services sociaux, la famille Grouillant est considérée par les institutions comme « un milieu criminogène ». En fait, il y a eu au cours de ces dix dernières années, de nombreuses interventions auprès des Grouillant. Toutes ont plus ou moins échoué. Le dossier Grouillant se présente sous forme d’une volumineuse liasse de huit pouces de documents, d’évaluations, de lettres, de notes, etc. Cette écriture brute reflète la quotidienneté de l’exercice du contrôle social par les institutions. Or dans toute leur authenticité, ces documents plaident plutôt

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Dunk, Stijn. "Wetenschap aan huis." Advocatenblad 101, no. 3 (2021): 40–42. http://dx.doi.org/10.5553/ab/0165-13312021101003017.

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Georges, Karoline, and Frédéric Manfrin. "À huis clos." Revue de la BNF 59, no. 2 (2019): 66. http://dx.doi.org/10.3917/rbnf.059.0066.

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Delannoi, Gil. "Huit saisons parfaites." Commentaire Numéro 137, no. 1 (2012): 191. http://dx.doi.org/10.3917/comm.137.0191.

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Bos, Christel. "Hersteld naar huis." TvV Tijdschrift voor Verzorgenden 53, no. 3 (2021): 29–33. http://dx.doi.org/10.1007/s41183-021-0665-4.

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Belhocine, Mustapha. "Quarante-huit heures." Savoir/Agir 18, no. 4 (2011): 119. http://dx.doi.org/10.3917/sava.018.0119.

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