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Identifying HotSpots in Lung Cancer Data Using Association Rule Mining

Ankit Agrawal, Alok Choudhary
2011 2011 IEEE 11th International Conference on Data Mining Workshops  
We analyze the lung cancer data available from the SEER program with the aim of identifying hotspots using association rule mining techniques.  ...  Automated association rule mining techniques resulted in hundreds of rules, from which many redundant rules were manually removed based on domain knowledge.  ...  ACKNOWLEDGMENT We thank the SEER program to make their limited-use data available for this work.  ... 
doi:10.1109/icdmw.2011.93 dblp:conf/icdm/AgrawalC11 fatcat:wv4pmn4f7rgd3ayd577bqweavu

Health Services Data: Big Data Analytics for Deriving Predictive Healthcare Insights [chapter]

Ankit Agrawal, Alok Choudhary
2016 Data and Measures in Health Services Research  
This includes the construction of accurate predictive models for lung cancer survival, development of a lung cancer outcome calculator deploying the predictive models, and association rule mining on that  ...  To illustrate each of these steps, we shall take the example of recent advances in such predictive analytics on lung cancer data from the Surveillance, Epidemiology, and End Results (SEER) program.  ...  As an example on big data mining in healthcare, some recent works dealing with the use of predictive analytics and association rule mining on lung cancer data from SEER were discussed, including a lung  ... 
doi:10.1007/978-1-4899-7673-4_2-1 fatcat:u2yxqcrpnfdsfhh72jkmhb4gji

Epidemiology of lung cancer and approaches for its prediction: a systematic review and analysis

Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain
2016 Chinese Journal of Cancer  
The combined use of data mining and evolutionary algorithm can be efficient in lung cancer detection.  ...  We observed that the data mining and evolutionary algorithms were efficient in lung cancer detection.  ...  [44] suggested that the early diagnosis of lung cancer is mainly dependent on its historical data. Using association rule mining, Agrawal et al.  ... 
doi:10.1186/s40880-016-0135-x pmid:27473753 pmcid:PMC4967338 fatcat:3d574oywbrfvdhaonrgsyapfs4

An Improved HotSpot Algorithm and Its Application to Sandstorm Data in Inner Mongolia

Ren Qing-dao-er-ji, Rui Pang, Yue Chang
2020 Mathematical Problems in Engineering  
HotSpot is an algorithm that can directly mine association rules from real data.  ...  The results show that S_HotSpot algorithm can not only dynamically optimize the selection of support but also improve the quality of association rules as it is mining reasonable number of rules.  ...  Agrawal and Choudhary used lung cancer data from SEER dataset with 13 predictor attributes for association rule-mining analysis [12] .  ... 
doi:10.1155/2020/4020723 fatcat:hm4f7lkatjagvn6imf3ja2zboa

A Deep Convolutional Neural Network Framework for Lung Cancer Detection

2019 International journal of recent technology and engineering  
The proposed structure is assessed on the open Kaggle Data Science Bowl (KDSB17) challenge dataset.  ...  Exact identification of pulmonary nodules with high sensitivity and specificity is basic for programmed lung malignancy analysis from CT scans.  ...  Another proposed structure that performs Association Rule mining assessment on lung malignant growth information to perceives the hotspots in the infection data, where the survival time of patient is by  ... 
doi:10.35940/ijrte.d9764.118419 fatcat:t43xggn44bcdthuuoaaqgbyxmm

Qualitative Decision Methods for Multi-Attribute Decision Making [article]

Ankit Agrawal
2015 arXiv   pre-print
The fundamental problem underlying all multi-criteria decision analysis (MCDA) problems is that of dominance between any two alternatives: "Given two alternatives A and B, each described by a set criteria  ...  Depending on the application in which MCDA is performed, the alternatives may represent strategies and policies for business, potential locations for setting up new facilities, designs of buildings, etc  ...  Association rule mining based hotspot analysis on seer lung cancer data.  ... 
arXiv:1508.00879v1 fatcat:zs77ki7cv5fstdiziz2xqifqpm

Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource

Rashmie Abeysinghe, Licong Cui
2018 BMC Medical Informatics and Decision Making  
QARM enables rule mining on a subset of data items satisfying a query constraint.  ...  Association Rule Mining (ARM) has been widely used by biomedical researchers to perform exploratory data analysis and uncover potential relationships among variables in biomedical datasets.  ...  [15] have done an ARM analysis on lung cancer data from the Surveillance, Epidemiology, and End Results (SEER) program to identify hotspots in the cancer data.  ... 
doi:10.1186/s12911-018-0633-7 pmid:30066656 pmcid:PMC6069291 fatcat:22bpxmlpizac7h3ytdu5p6fvdu

Asbestos in High-Risk Communities: Public Health Implications

Edward A. Emmett
2021 International Journal of Environmental Research and Public Health  
Asbestos-related diseases (ARDs)—mesothelioma, lung cancer, and asbestosis—are well known as occupational diseases.  ...  Banning asbestos mining, use, and importation will not reduce risks from asbestos already in place.  ...  Data Availability Statement: Not Applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph18041579 pmid:33562413 pmcid:PMC7915393 fatcat:jbhqmxqzvjhfpg3h7scqd3mdly

ijair-volume-6-issue-1-vii-january-march-2019 -HINDUSTAN BOOK.pdf

V. Thamilarasi
2022 figshare.com  
This paper experiments various basic image segmentation techniques for Lung Chest X-Ray images  ...  The main process of KDD, is called as data mining, and its main work is to retrieve the frequent patterns which includes association rules and sequential patterns mining.  ...  Data mining is used in classification, clustering, regression, association rule discovery, sequential pattern discovery, outlier detection, etc.  ... 
doi:10.6084/m9.figshare.20217722.v1 fatcat:l74ihuqhcvdtjomod3zdwzfniu

Enhancing the performance of association rule models by filtering instances in colorectal cancer patients

Jaree Thongkam, Vatinee Sukmak
2017
Colorectal cancer data available from the SEER program is analyzed with the aim of using filtering techniques to improve the performance of association rule models.  ...  The Apriori and HotSpot algorithms are applied to mine the association rules between the 13 selected attributes and average survivals.  ...  Agrawal and Choudhary [14] performed HotSpot association rule mining to identify factors affecting survival time. They used 13 predictor attributes to calculate lung cancer outcomes.  ... 
doi:10.14456/easr.2017.11 fatcat:tbkmtievr5a4zpkypaf5htfrtm

MINI ORAL SESSIONS

2015 Journal of Thoracic Oncology  
Backgrounds: The prognostic significance of additional lung nodules in the setting of lung cancer is important as the impact on survival is often considered for the justification of surgical selection  ...  a cohort of resected lung cancers who had multiple nodules.  ...  PROs were assessed at baseline and Day 1 of treatment cycles 2, 3, and every two cycles thereafter (1 cycle=28 days), using the Lung Cancer Symptom Scale (LCSS) and EORTC quality of life and lung cancer  ... 
doi:10.1016/s1556-0864(16)30011-9 fatcat:nlhtgbimt5fu5dx4syerr2hjmu

Leukocyte-Endothelial Cell Adhesion Molecule 2 (LECAM2) [chapter]

2017 Encyclopedia of Cancer  
a broad range of cancer cell types, including leukemias, lymphomas, fibrosarcomas, and various carcinomas.  ...  vitro and in vivo anticancer activity of bovine lactoferricin has been attributed to the selective cytotoxic effect (either by membrane lysis or ▶ apoptosis induction) exerted by this cationic peptide on  ...  The approval was based on data from the pivotal LUX-Lung 3 trial, comparing afatinib to chemotherapy with pemetrexed plus cisplatin.  ... 
doi:10.1007/978-3-662-46875-3_101347 fatcat:wq4gqlizr5csfjlwv4opja2jb4

32. Deutscher Krebskongress Krebsmedizin heute: präventiv, personalisiert, präzise und partizipativ, Berlin, 24.-27. Februar 2016: Abstracts

2016 Oncology Research and Treatment  
However, preliminary adherence data are very promising. ID 0072 Individualized drug response predictions based on a combined in silico and in vitro lung cancer model on a biological scaffold C.  ...  Results were compared with the US data (1992-2011) obtained from 13 cancer registries of the SEER program.  ...  Patient characteristics, treatment specifics and follow-up (FU) data were collected. Analysis focused on local control and on overall survival.  ... 
doi:10.1159/000444354 pmid:26905290 fatcat:aa4ozsvq6balfgoajaqwhviupq

The biology of uveal melanoma

Adriana Amaro, Rosaria Gangemi, Francesca Piaggio, Giovanna Angelini, Gaia Barisione, Silvano Ferrini, Ulrich Pfeffer
2017 Cancer Metastasis Review  
Uveal melanoma (UM), a rare cancer of the eye, is distinct from cutaneous melanoma by its etiology, the mutation frequency and profile, and its clinical behavior including resistance to targeted therapy  ...  Cytogenetic alterations, in particular monosomy of chromosome 3 and amplification of the long arm of chromosome 8, and mutation of the BRCA1-associated protein 1, BAP1, a tumor suppressor gene, or the  ...  Open Access This article is distributed under the terms of the Creative Comm ons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s10555-017-9663-3 pmid:28229253 pmcid:PMC5385203 fatcat:5dafjdyqpzbjxdaaicuxcl5ybm

Standardized assessment of tumor-infiltrating lymphocytes in breast cancer: an evaluation of inter-observer agreement between pathologists

Trine Tramm, Tina Di Caterino, Anne-Marie B. Jylling, Giedrius Lelkaitis, Anne-Vibeke Lænkholm, Péter Ragó, Tomasz P. Tabor, Maj-Lis M. Talman, Emmanouela Vouza
2017 Acta Oncologica  
but by sharing these important data with other members of the Early Breast Cancer Trialist' Collaborative Group (EBCTCG).  ...  The trials initiated by the DBCG 40 years ago on tamoxifen and cyclophosphamide based chemotherapy became instrumental for the development of adjuvant systemic therapy not only due to their positive results  ...  Acknowledgments We would like to thank Lejla Majdanac for her excellent assistance in collecting historical data from Rigshospitalet, Copenhagen University Hospital.  ... 
doi:10.1080/0284186x.2017.1403040 pmid:29168428 fatcat:snli32jsj5en5aqo3ckk77k4bq
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