Results 61 to 70 of about 2,623,624 (325)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
IEEE Access, 2022 The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns ...
Ritika, Sunil Kumar Gupta
doaj +1 more source
Mining high utility sequential patterns [PDF]
, 2015 University of Technology Sydney. Faculty of Engineering and Information Technology.Sequential pattern mining refers to the identification of frequent subsequences in sequence databases as patterns.
Yin, J
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
A single‐phase algorithm for mining high utility itemsets using compressed tree structures
ETRI Journal, 2021 Mining high utility itemsets (HUIs) from transaction databases considers such factors as the unit profit and quantity of purchased items. Two‐phase tree‐based algorithms transform a database into compressed tree structures and generate candidate patterns
Anup Bhat B, Harish SV, Geetha M
doaj +1 more source
Scalable Sampling for High Utility Patterns
2024 IEEE International Conference on Big Data (BigData)Discovering valuable insights from data through meaningful associations is a crucial task. However, it becomes challenging when trying to identify representative patterns in quantitative databases, especially with large datasets, as enumeration-based strategies struggle due to the vast search space involved.
Diop, Lamine, Plantevit, Marc
openaire +2 more sources
Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle +5 more
wiley +1 more source
A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data
International Journal of Computational Intelligence Systems, 2019 High utility sequential pattern (HUSP) mining has emerged as a novel topic in data mining, its computational complexity increases compared to frequent sequences mining and high utility itemsets mining.
Huijun Tang, Yangguang Liu, Le Wang
doaj +1 more source
Analyzing of incremental high utility pattern mining based on tree structures
Human-Centric Computing and Information Sciences, 2017 Since the concept of high utility pattern mining was proposed to solve the drawbacks of traditional frequent pattern mining approach that cannot handle various features of real-world applications, many different techniques and algorithms for high utility
Judae Lee, Unil Yun, Gangin Lee
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel +3 more
wiley +1 more source