Results 81 to 90 of about 16,254 (263)

Incremental Fuzzy Association Rule Mining for Classification and Regression

IEEE Access, 2019
The aim of mining fuzzy association rules is to find both the association and the casual relationships between the itemsets. With the arrival of dynamic data, the fuzzy association rules should be updated in real time.
Ling Wang, Qian Ma, Jianyao Meng
doaj   +1 more source

Analysis of multiple chronic disease characteristics in middle-aged and elderly South Koreans by exercise habits based on association rules mining algorithm. [PDF]

BMC Public Health, 2023
Huang Y, Su Y, Byun Y, Lee Y, Kim S.
europepmc   +1 more source

Engineering Osteoimmune Responses with Functionalized Orthopedic Implants for Post‐Operative Osteosarcoma Treatment

Advanced Science, EarlyView.
Osteosarcoma is the most common primary bone tumor with limited treatment options and a terrible prognosis. This review provides a comprehensive summary of the recent development of osteoimmunomodulatory implants for post‐operative osteosarcoma treatment, of which the potential utility in evoking durable anti‐osteosarcoma immunity and accelerating bone
Yilong Dong, Lingshuang Wang, Hui Zhang, Menghuan Li, Zhong Luo, Yan Hu, Chunyuan Cai   +6 more
wiley   +1 more source

Data Mining Technology in Teaching Evaluation of Colleges and Universities [PDF]

SHS Web of Conferences
Data Mining refers to the large amount of data from the database through algorithmic search reveals implicit, previously unknown and potentially valuable process information[1]. Currently, many areas during the application of data mining.
Zhang Chao, He Linling
doaj   +1 more source

Using association rules mining to characterize loss of control eating in childhood. [PDF]

Appetite, 2021
Pearce AL, Brick TR, Masterson T, Adise S, Fearnbach SN, Stein W, English L, Tanofsky-Kraff M, Keller KL.   +8 more
europepmc   +1 more source

Zinc Exposure Causes Disulfidptosis to Induce Miscarriage by Up‐Regulating GATA1/METTL1/SLC7A11 Axis

Advanced Science, EarlyView.
Zn exposure up‐regulates GATA1, promoting GATA1‐mediated METTL1 and SLC7A11 transcription. It also enhances METTL1‐mediated m7G modification on SLC7A11 mRNA, increasing SLC7A11 mRNA stability. Ultimately, Zn exposure up‐regulates SLC7A11 at both transcriptional and post‐transcriptional levels, causing disulfidptosis. Knockdown of murine Slc7a11, Gata1,
Wenxin Huang, Yi Sun, Yanxin Wang, Haijun Yan, Xiaoping Yue, Weidong Wu, Xueyu Chen, Jinfang Zhang, Yanbing Lin, Qiong Lei, Nan Ji, Shuaishuai Xing, Liqin Zeng, Qingzheng Kang, Depeng Zhao, Geng Guo, Huidong Zhang   +16 more
wiley   +1 more source

Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China. [PDF]

PLoS One, 2022
Gu C, Xu J, Gao C, Mu M, E G, Ma Y.
europepmc   +1 more source

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

Advanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska, Kristina Bartmann, Georgea Raad, Mats Schade, Luiz Ladeira, Arif Dönmez, Jördis Klose, Nicolai Görts, Denis Polozij, Lynn‐Christin Saborowski, Farina Bendt, Bernard Staumont, Liesbet Geris, Katharina Koch, Ellen Fritsche   +14 more
wiley   +1 more source

TSARM-UDP: An Efficient Time Series Association Rules Mining Algorithm Based on Up-to-Date Patterns. [PDF]

Entropy (Basel), 2021
Zhao Q, Li Q, Yu D, Han Y.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source