Big Data Analysis Using Modern Statistical and Machine Learning Methods in Medicine

  

Uso de técnicas de aprendizado de máquina para classificação de fatores que influenciam a ocorrência de dermatites ocupacionais

Ana Caroline Francisco da Rosa, Edwin Vladimir Cardoza Galdamez, Rodrigo Clemente Thom de Souza, Maria das Graças Mota Melo, Ana Luiza Castro Fernandes Villarinho, Gislaine Camila Lapasini Leal

Revista Brasileira de Saúde Ocupacional.2023;[Epub]     CrossRef

Probabilistic graphical modelling using Bayesian networks for predicting clinical outcome after posterior decompression in patients with degenerative cervical myelopathy

Dong Ah Shin, Sun-Ho Lee, Sohee Oh, Changwon Yoo, Hee-Jin Yang, Ikchan Jeon, Sung Bae Park

Annals of Medicine.2023;[Epub]     CrossRef

Random Forest Regression in Predicting Students’ Achievements and Fuzzy Grades

Daniel Doz, Mara Cotič, Darjo Felda

Mathematics.2023; 11(19): 4129.     CrossRef

Development of a graphical model of causal gene regulatory networks using medical big data and Bayesian machine learning

Sung Bae Park, Changwon Yoo

Journal of the Korean Medical Association.2022; 65(3): 167.     CrossRef

A comprehensive study of data intelligence in the context of big data analytics

Chitrakant Banchhor, N. Srinivasu

Web Intelligence.2022; 20(1): 53.     CrossRef

A critical evaluation of handling uncertainty in Big Data processing

Ekansh Upadhyay

Advances in Engineering Software.2022; 173: 103246.     CrossRef

Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study

Xiang Hu, Xue-Ke Li, Shiping Wen, Xingyu Li, Tian-Shu Zeng, Jiao-Yue Zhang, Weiqing Wang, Yufang Bi, Qiao Zhang, Sheng-Hua Tian, Jie Min, Ying Wang, Geng Liu, Hantao Huang, Miaomiao Peng, Jun Zhang, Chaodong Wu, Yu-Ming Li, Hui Sun, Guang Ning, Lu-Lu Chen

Heliyon.2022; 8(12): e12343.     CrossRef

Improving Alzheimer’s disease classification by performing data fusion with vascular dementia and stroke data

Zoran Bosnić, Brankica Bratić, Mirjana Ivanović, Marija Semnic, Iztok Oder, Vladimir Kurbalija, Tijana Vujanić Stankov, Vojislava Bugarski Ignjatović

Journal of Experimental & Theoretical Artificial Intelligence.2021; 33(6): 1015.     CrossRef

Google Trends application for the study of information search behaviour on oropharyngeal cancer in Spain

Miguel Mayo-Yáñez, Christian Calvo‑Henríquez, Carlos Chiesa-Estomba, Jérôme R. Lechien, Lucía González-Torres

European Archives of Oto-Rhino-Laryngology.2021; 278(7): 2569.     CrossRef

GLIMPSE: a glioblastoma prognostication model using ensemble learning—a surveillance, epidemiology, and end results study

Kamel A. Samara, Zaher Al Aghbari, Amani Abusafia

Health Information Science and Systems.2021;[Epub]     CrossRef

Applications of machine learning for corporate bond yield spread forecasting

Jong-Min Kim, Dong H. Kim, Hojin Jung

The North American Journal of Economics and Finance.2021; 58: 101540.     CrossRef

Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India

H. Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, P. Suresh Kumar

SN Computer Science.2021;[Epub]     CrossRef

Big data analytics for preventive medicine

Muhammad Imran Razzak, Muhammad Imran, Guandong Xu

Neural Computing and Applications.2020; 32(9): 4417.     CrossRef

Classical and Deep Learning Paradigms for Detection and Validation of Key Genes of Risky Outcomes of HCV

Nagwan M. Abdel Samee

Algorithms.2020; 13(3): 73.     CrossRef

Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults

Sebastian Rauschert, Phillip E. Melton, Anni Heiskala, Ville Karhunen, Graham Burdge, Jeffrey M. Craig, Keith M. Godfrey, Karen Lillycrop, Trevor A. Mori, Lawrence J. Beilin, Wendy H. Oddy, Craig Pennell, Marjo-Riitta Järvelin, Sylvain Sebert, Rae-Chi Hua

Environmental Health Perspectives.2020;[Epub]     CrossRef

Study on the effect of hypertensive treatment based on drug factor analysis model under the background of big data

Yan Zhao, Jiajing Le, LiFeng Zhu, Ming Zuo, Ahmed Farouk, Dou Zhen

Journal of Intelligent & Fuzzy Systems.2019; 37(3): 3217.     CrossRef

PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data

Yan Tang, Jianwu Wang, Mai Nguyen, Ilkay Altintas

Sensors.2019; 19(20): 4400.     CrossRef

The revolution of personalized psychiatry: will technology make it happen sooner?

G. Perna, M. Grassi, D. Caldirola, C. B. Nemeroff

Psychological Medicine.2018; 48(5): 705.     CrossRef

Algorithm Analysis for Big Data in Education Based on Depth Learning

Wenjie Zhang, Liehui Jiang

Wireless Personal Communications.2018; 102(4): 3111.     CrossRef

Statistical modeling of spatial big data: An approach from a functional data analysis perspective

Ramón Giraldo, Sophie Dabo-Niang, Sergio Martínez

Statistics & Probability Letters.2018; 136: 126.     CrossRef

Information-Based Medicine in Glioma Patients: A Clinical Perspective

Joeky Tamba Senders, Maya Harary, Brittany Morgan Stopa, Patrick Staples, Marike Lianne Daphne Broekman, Timothy Richard Smith, William Brian Gormley, Omar Arnaout

Computational and Mathematical Methods in Medicine.2018; 2018: 1.     CrossRef

Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review

Amaryllis Mavragani, Gabriela Ochoa, Konstantinos P Tsagarakis

Journal of Medical Internet Research.2018; 20(11): e270.     CrossRef

Modeling interrelationships between health behaviors in overweight breast cancer survivors: Applying Bayesian networks

Selene Xu, Wesley Thompson, Jacqueline Kerr, Suneeta Godbole, Dorothy D. Sears, Ruth Patterson, Loki Natarajan, Maciej S. Buchowski

PLOS ONE.2018; 13(9): e0202923.     CrossRef

A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning

Nana Wang, Xi Huang, Yi Rao, Jing Xiao, Jiahui Lu, Nian Wang, Li Cui

Scientific Reports.2018;[Epub]     CrossRef

Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian Networks

Sung Bae Park, Chun Kee Chung, Efrain Gonzalez, Changwon Yoo

Journal of Bone Metabolism.2018; 25(4): 251.     CrossRef

Peripheral transcriptomic biomarkers for early detection of sporadic Alzheimer disease?

Adva Hadar, David Gurwitz

Dialogues in Clinical Neuroscience.2018; 20(4): 293.     CrossRef

The symptom phenotype of oncology outpatients remains relatively stable from prior to through 1 week following chemotherapy

C. Miaskowski, B.A. Cooper, B. Aouizerat, M. Melisko, L.-M. Chen, L. Dunn, X. Hu, K.M. Kober, J. Mastick, J.D. Levine, M. Hammer, F. Wright, J. Harris, J. Armes, E. Furlong, P. Fox, E. Ream, R. Maguire, N. Kearney

European Journal of Cancer Care.2017; 26(3): e12437.     CrossRef

Machine learning approaches to personalize early prediction of asthma exacerbations

Joseph Finkelstein, In cheol Jeong

Annals of the New York Academy of Sciences.2017; 1387(1): 153.     CrossRef

A graphical framework for model selection criteria and significance tests: refutation, confirmation and ecology

Ken Aho, Dewayne Derryberry, Teri Peterson, Robert B. O'Hara

Methods in Ecology and Evolution.2017; 8(1): 47.     CrossRef

Big and disparate data: considerations for pediatric consortia

Jeanette A. Stingone, Nancy Mervish, Patricia Kovatch, Deborah L. McGuinness, Chris Gennings, Susan L. Teitelbaum

Current Opinion in Pediatrics.2017; 29(2): 231.     CrossRef

Principles of Experimental Design for Big Data Analysis

Christopher C. Drovandi, Christopher C. Holmes, James M. McGree, Kerrie Mengersen, Sylvia Richardson, Elizabeth G. Ryan

Statistical Science.2017;[Epub]     CrossRef

Big data analytics in bioinformatics: architectures, techniques, tools and issues

Hirak Kashyap, Hasin Afzal Ahmed, Nazrul Hoque, Swarup Roy, Dhruba Kumar Bhattacharyya

Network Modeling Analysis in Health Informatics and Bioinformatics.2016;[Epub]     CrossRef

Does Only Size Matter or Is There Still a Place for Single-Center Studies in the Era of Big Data?

Sharon Einav, Michael O’Connor

Anesthesia & Analgesia.2016; 123(6): 1623.     CrossRef

Data collection as a barrier to personalized medicine

David Zakim, Matthias Schwab

Trends in Pharmacological Sciences.2015; 36(2): 68.     CrossRef

Comparative Medicine in the Twenty-First Century: Where are We Now and Where Do We Go from Here?

Ali Mobasheri

Frontiers in Veterinary Science.2015;[Epub]     CrossRef

Data, Big Data, and Metadata in Anesthesiology

Matthew A. Levin, Jonathan P. Wanderer, Jesse M. Ehrenfeld

Anesthesia & Analgesia.2015; 121(6): 1661.     CrossRef

Applying Data Envelopment Analysis to Preventive Medicine: A Novel Method for Constructing a Personalized Risk Model of Obesity

Hiroto Narimatsu, Yoshinori Nakata, Sho Nakamura, Hidenori Sato, Ri Sho, Katsumi Otani, Ryo Kawasaki, Isao Kubota, Yoshiyuki Ueno, Takeo Kato, Hidetoshi Yamashita, Akira Fukao, Takamasa Kayama, Stefan Kiechl

PLOS ONE.2015; 10(5): e0126443.     CrossRef

How to Make the Most of Big Data in the Era of Complexity

Seung-June Oh

International Neurourology Journal.2014; 18(2): 49.     CrossRef

Parallel Networks

Tara L. Deans

ACM Journal on Emerging Technologies in Computing Systems.2014; 11(3): 1.     CrossRef