Published on 17.01.14 in Vol 2, No 1 (2014): Jan-Jun
Works citing "Big Data and Clinicians: A Review on the State of the Science"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.2913):
(note that this is only a small subset of citations)
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Mbagwu M, French DD, Gill M, Mitchell C, Jackson K, Kho A, Bryar PJ. Creation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record Notes. JMIR Medical Informatics 2016;4(2):e14
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Bink A, Benner J, Reinhardt J, De Vere-Tyndall A, Stieltjes B, Hainc N, Stippich C. Structured Reporting in Neuroradiology: Intracranial Tumors. Frontiers in Neurology 2018;9
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Sutherland SM, Chawla LS, Kane-Gill SL, Hsu RK, Kramer AA, Goldstein SL, Kellum JA, Ronco C, Bagshaw SM. Utilizing Electronic Health Records to Predict Acute Kidney Injury Risk and Outcomes: Workgroup Statements from the 15th ADQI Consensus Conference. Canadian Journal of Kidney Health and Disease 2016;3
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Friedman SL, Friedman YL. The future of hepatology: Embrace change. Clinical Liver Disease 2015;5(6):127
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Osborne TF, Clark RH, Blackowiak J, Williamson PJ, Werb SM, Strong BW. Efficiency Analysis of an Interoperable Healthcare Operations Platform. Journal of Medical Systems 2017;41(4)
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Rabey M, Smith A, Kent P, Beales D, Slater H, O’Sullivan P. Chronic low back pain is highly individualised: patterns of classification across three unidimensional subgrouping analyses. Scandinavian Journal of Pain 2019;19(4):743
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Iwashyna TJ, Liu V. What’s So Different about Big Data?. A Primer for Clinicians Trained to Think Epidemiologically. Annals of the American Thoracic Society 2014;11(7):1130
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Azadmanjir Z, Safdari R, Ghazisaeidi M. From Self-care for Healthy People to Self-management for Cancer Patients with Cancer Portals. Asian Pacific Journal of Cancer Prevention 2015;16(4):1321
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. The future of psychiatric research. Trends in Psychiatry and Psychotherapy 2016;38(4):185
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. Big data en sanidad en España: la oportunidad de una estrategia nacional. Gaceta Sanitaria 2016;30(1):63
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Nazir S, Khan S, Khan HU, Ali S, Garcia-Magarino I, Atan RB, Nawaz M. A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming. IEEE Access 2020;8:95714
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Huang C, Syed-Abdul S, Jian W, Iqbal U, Nguyen P, Lee P, Lin S, Hsu W, Wu M, Wang C, Ma K, Li Y. A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan. Journal of the American Medical Informatics Association 2015;22(2):290
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Schaarup C, Pape-Haugaard LB, Hejlesen OK. Models Used in Clinical Decision Support Systems Supporting Healthcare Professionals Treating Chronic Wounds: Systematic Literature Review. JMIR Diabetes 2018;3(2):e11
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Nazir S, Nawaz M, Adnan A, Shahzad S, Asadi S. Big Data Features, Applications, and Analytics in Cardiology—A Systematic Literature Review. IEEE Access 2019;7:143742
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Luo J, Wu M, Gopukumar D, Zhao Y. Big Data Application in Biomedical Research and Health Care: A Literature Review. Biomedical Informatics Insights 2016;8:BII.S31559
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Dion M, Diouf NT, Robitaille H, Turcotte S, Adekpedjou R, Labrecque M, Cauchon M, Légaré F. Teaching Shared Decision Making to Family Medicine Residents: A Descriptive Study of a Web-Based Tutorial. JMIR Medical Education 2016;2(2):e17
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Monteith S, Glenn T, Geddes J, Bauer M. Big data are coming to psychiatry: a general introduction. International Journal of Bipolar Disorders 2015;3(1)
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van Santen JA, Kautsar SA, Medema MH, Linington RG. Microbial natural product databases: moving forward in the multi-omics era. Natural Product Reports 2021;38(1):264
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Deserno T, Marx N. Computational Electrocardiography: Revisiting Holter ECG Monitoring. Methods of Information in Medicine 2016;55(04):305
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Rana AI, Mugavero MJ. How Big Data Science Can Improve Linkage and Retention in Care. Infectious Disease Clinics of North America 2019;33(3):807
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Shachar N, Mitelpunkt A, Kozlovski T, Galili T, Frostig T, Brill B, Marcus-Kalish M, Benjamini Y. The Importance of Nonlinear Transformations Use in Medical Data Analysis. JMIR Medical Informatics 2018;6(2):e27
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McDermott S, Turk MA. What are the implications of the big data paradigm shift for disability and health?. Disability and Health Journal 2015;8(3):303
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Guha S, Kumar S. Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap. Production and Operations Management 2018;27(9):1724
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Alsenan S, Al-Turaiki I, Hafez A. A Recurrent Neural Network Model to Predict Blood-Brain Barrier Permeability. Computational Biology and Chemistry 2020;:107377
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Mostert M, Bredenoord AL, Biesaart MCIH, van Delden JJM. Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach. European Journal of Human Genetics 2016;24(7):956
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Dallmann A, Mian P, den Anker JV, Allegaert K. Clinical Pharmacokinetic Studies in Pregnant Women and the Relevance of Pharmacometric Tools. Current Pharmaceutical Design 2019;25(5):483
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. Personalized Approach and Precision Medicine in Supportive and End-of-Life Care for Patients With Advanced and End-Stage Kidney Disease. Seminars in Nephrology 2018;38(4):336
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. Big data creating new knowledge as support in decision-making: practical examples of big data use and consequences of using big data as decision support. Journal of Decision Systems 2018;27(1):1
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Janke AT, Overbeek DL, Kocher KE, Levy PD. Exploring the Potential of Predictive Analytics and Big Data in Emergency Care. Annals of Emergency Medicine 2016;67(2):227
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Kortüm K, Müller M, Hirneiß C, Babenko A, Nasseh D, Kern C, Kampik A, Priglinger S, Kreutzer TC. „Smart eye data“. Der Ophthalmologe 2016;113(6):469
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Westra BL, Sylvia M, Weinfurter EF, Pruinelli L, Park JI, Dodd D, Keenan GM, Senk P, Richesson RL, Baukner V, Cruz C, Gao G, Whittenburg L, Delaney CW. Big data science: A literature review of nursing research exemplars. Nursing Outlook 2017;65(5):549
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Hackl WO, Ammenwerth E. SPIRIT: Systematic Planning of Intelligent Reuse of Integrated Clinical Routine Data. Methods of Information in Medicine 2016;55(02):114
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Strotbaum V, Pobiruchin M, Schreiweis B, Wiesner M, Strahwald B. Your data is gold – Data donation for better healthcare?. it - Information Technology 2019;61(5-6):219
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Treder M, Gaber A, Rudloff B, Eter N. Real-Life-Daten-Analyse der Therapiequalität bei Patienten mit exsudativer altersabhängiger Makuladegeneration (AMD) und venösen Gefäßverschlüssen an einer deutschen Universitätsaugenklinik. Der Ophthalmologe 2019;116(6):553
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Chen Y, Wang Z, Yuan G, Huang L. An overview of online based platforms for sharing and analyzing electrophysiology data from big data perspective. WIREs Data Mining and Knowledge Discovery 2017;7(4)
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Fang Z, Fan X, Chen G. A study on specialist or special disease clinics based on big data. Frontiers of Medicine 2014;8(3):376
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Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1
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Schee genannt Halfmann S, Evangelatos N, Schröder-Bäck P, Brand A. European Healthcare Systems Readiness to Shift from ‘One-Size Fits All’ to Personalized Medicine. Personalized Medicine 2017;14(1):63
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Modi N, Ashby D, Battersby C, Brocklehurst P, Chivers Z, Costeloe K, Draper ES, Foster V, Kemp J, Majeed A, Murray J, Petrou S, Rogers K, Santhakumaran S, Saxena S, Statnikov Y, Wong H, Young A. Developing routinely recorded clinical data from electronic patient records as a national resource to improve neonatal health care: the Medicines for Neonates research programme. Programme Grants for Applied Research 2019;7(6):1
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Silverio A, Cavallo P, De Rosa R, Galasso G. Big Health Data and Cardiovascular Diseases: A Challenge for Research, an Opportunity for Clinical Care. Frontiers in Medicine 2019;6
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Oyinlola JO, Campbell J, Kousoulis AA. Is real world evidence influencing practice? A systematic review of CPRD research in NICE guidances. BMC Health Services Research 2016;16(1)
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Zhu VZ, Tuggle CT, Au AF. Promise and Limitations of Big Data Research in Plastic Surgery. Annals of Plastic Surgery 2016;76(4):453
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Danso SO, Job DE, Gonzalez DR, Dickie DA, Palmer J, Ure J, Bath PM, Sandercock PAG, Wardlaw JM. Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project. Frontiers in ICT 2016;3
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Ali R, Hussain J, Siddiqi M, Hussain M, Lee S. H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus. Sensors 2015;15(7):15921
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Rodeghero J, Cook C. The use of big data in manual physiotherapy. Manual Therapy 2014;19(6):509
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Balla A, Batista Rodríguez G, Corradetti S, Balagué C, Fernández-Ananín S, Targarona EM. Outcomes after bariatric surgery according to large databases: a systematic review. Langenbeck's Archives of Surgery 2017;402(6):885
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MacRae J, Darlow B, McBain L, Jones O, Stubbe M, Turner N, Dowell A. Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records. BMJ Open 2015;5(8):e008160
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Cirillo D, Catuara-Solarz S, Morey C, Guney E, Subirats L, Mellino S, Gigante A, Valencia A, Rementeria MJ, Chadha AS, Mavridis N. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare. npj Digital Medicine 2020;3(1)
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Brennan PF, Bakken S. Nursing Needs Big Data and Big Data Needs Nursing. Journal of Nursing Scholarship 2015;47(5):477
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Agoston DV, Langford D. Big Data in traumatic brain injury; promise and challenges. Concussion 2017;2(4):CNC44
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Lee CH, Yoon H. Medical big data: promise and challenges. Kidney Research and Clinical Practice 2017;36(1):3
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Carrington JM, Love R. Development of an Innovative Tool to Appraise Big Data for Best Evidence. Worldviews on Evidence-Based Nursing 2020;17(4):269
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Woldu SL, Raj GV. The surgeon–scientist — a dying breed?. Nature Reviews Urology 2016;13(12):698
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Yang J, Li Y, Liu Q, Li L, Feng A, Wang T, Zheng S, Xu A, Lyu J. Brief introduction of medical database and data mining technology in big data era. Journal of Evidence-Based Medicine 2020;13(1):57
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Dórea FC, Revie CW. Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making. Frontiers in Veterinary Science 2021;8
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Thakkar I, Massardo T, Pereira J, Quintana JC, Risco L, Saez CG, Corral S, Villa C, Spuler J, Olivares N, Valenzuela G, Castro G, Riedel B, Vicentini D, Muñoz D, Lastra R, Rodriguez-Fernandez M. Identification of Statin’s Action in a Small Cohort of Patients with Major Depression. Applied Sciences 2021;11(6):2827
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Sung L, Corbin C, Steinberg E, Vettese E, Campigotto A, Lecce L, Tomlinson GA, Shah N. Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments. BMC Cancer 2020;20(1)
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Parmar C, Barry JD, Hosny A, Quackenbush J, Aerts HJ. Data Analysis Strategies in Medical Imaging. Clinical Cancer Research 2018;24(15):3492
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Hur C, Wi J, Kim Y. Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records. International Journal of Environmental Research and Public Health 2020;17(22):8303
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Muller SHA, Kalkman S, van Thiel GJMW, Mostert M, van Delden JJM. The social licence for data-intensive health research: towards co-creation, public value and trust. BMC Medical Ethics 2021;22(1)
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Ning S, Li N, Barty R, Arnold D, Heddle NM. Database‐driven research and big data analytic approaches in transfusion medicine. Transfusion 2022;62(7):1427
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Sun A, Johnson D. Characterization of Traumatic Injury During the Early COVID-19 Pandemic: Results From a National Healthcare Database. Cureus 2022;
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Soenksen LR, Ma Y, Zeng C, Boussioux L, Villalobos Carballo K, Na L, Wiberg HM, Li ML, Fuentes I, Bertsimas D. Integrated multimodal artificial intelligence framework for healthcare applications. npj Digital Medicine 2022;5(1)
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Alexander N, Aftandilian C, Guo LL, Plenert E, Posada J, Fries J, Fleming S, Johnson A, Shah N, Sung L. Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study. JMIR Medical Informatics 2022;10(11):e40039
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Wang M, Li S, Zheng T, Li N, Shi Q, Zhuo X, Ding R, Huang Y. Big Data Health Care Platform With Multisource Heterogeneous Data Integration and Massive High-Dimensional Data Governance for Large Hospitals: Design, Development, and Application. JMIR Medical Informatics 2022;10(4):e36481
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Vesoulis ZA, Husain AN, Cole FS. Improving child health through Big Data and data science. Pediatric Research 2023;93(2):342
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Khan IH, Javaid M. Big Data Applications in Medical Field: A Literature Review. Journal of Industrial Integration and Management 2021;06(01):53
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Pablo RJ, Roberto D, Victor S, Isabel G, Paul C, Elizabeth O. Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology. Journal of Integrative Bioinformatics 2022;19(1)
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Siripurapu S, Darimireddy NK, Chehri A, Sridhar B, Paramkusam AV. Technological Advancements and Elucidation Gadgets for Healthcare Applications: An Exhaustive Methodological Review-Part-I (AI, Big Data, Block Chain, Open-Source Technologies, and Cloud Computing). Electronics 2023;12(3):750
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Li J, Li Z, Wang Y, Lin H, Wu B. TLSEA: a tool for lncRNA set enrichment analysis based on multi-source heterogeneous information fusion. Frontiers in Genetics 2023;14
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Annis A, Reaves C, Sender J, Bumpus S. Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review. Journal of Medical Internet Research 2023;25:e43802
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Shim SR, Lee J, Kim JH. Medical Application of Big Data: Between Systematic Review and Randomized Controlled Trials. Applied Sciences 2023;13(16):9260
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Lu S, Yang J, Gu Y, He D, Wu H, Sun W, Xu D, Li C, Guo C. Advances in Machine Learning Processing of Big Data from Disease Diagnosis Sensors. ACS Sensors 2024;9(3):1134
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Li J, Ma X, Lin H, Zhao S, Li B, Huang Y. MHIF-MSEA: a novel model of miRNA set enrichment analysis based on multi-source heterogeneous information fusion. Frontiers in Genetics 2024;15
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.2913):
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Papadopoulou P, Lytras M, Marouli C. Applying Big Data Analytics in Bioinformatics and Medicine. 2018. chapter 1:1
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Martinez-Mosquera D, Luján-Mora S, Montoya L. LH, Reyes Ch. RP, Paredes Calderón M. Advances in Emerging Trends and Technologies. 2020. Chapter 12:125
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Papadopoulou P, Lytras M, Marouli C. Biotechnology. 2019. chapter 8:185
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Gaitanou P, Garoufallou E, Balatsoukas P. Metadata and Semantics Research. 2014. Chapter 14:141
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Nicholls SG, Langan SM, Benchimol EI. The Ethics of Biomedical Big Data. 2016. Chapter 15:339
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. Analytics, Operations, and Strategic Decision Making in the Public Sector. 2019. chapter 5:88
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Papadopoulou P, Chui KT, Daniela L, Lytras MD. Cognitive Computing in Technology-Enhanced Learning. 2019. chapter 6:109
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Tempini N, Leonelli S. Encyclopedia of Life Sciences. 2015. :1
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Ortega MI, Genero M, Piattini M. Model and Data Engineering. 2017. Chapter 8:96
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Sharma N, Patil MM, Shamkuwar M. Internet of Things in Biomedical Engineering. 2019. :189
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Tekchandani S, Shah J, Singh A. Data Science and Intelligent Applications. 2021. Chapter 1:1
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Hardy LR, Bourne PE. Big Data-Enabled Nursing. 2017. Chapter 10:183
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A. R, V. T. K, A. S. Deep Neural Networks for Multimodal Imaging and Biomedical Applications. 2020. chapter 1:1
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. Leveraging Biomedical and Healthcare Data. 2019. :53
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Mathew PS, Pillai AS. Innovations in Bio-Inspired Computing and Applications. 2016. Chapter 48:543
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. Contemporary Topics in Patient Safety - Volume 1. 2022. Chapter 4
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. Research Anthology on Public Health Services, Policies, and Education. 2021. chapter 18:410
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Varshney M, Bhushan B, Haque AKMB. Multimedia Technologies in the Internet of Things Environment, Volume 3. 2022. Chapter 11:167
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Subirats L, Piella G. Sex and Gender Bias in Technology and Artificial Intelligence. 2022. :77
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Iyamu T, Mgudlwa S. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 51:1071
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Khan Mamun MMR, Alouani A. Advances in Information and Communication. 2022. Chapter 29:420
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Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 90:1843
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van de Beld J, Pathak S, Geerdink J, Hegeman JH, Seifert C. Explainable Artificial Intelligence. 2024. Chapter 5:84
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Duckett KA, Graboyes EM. Big Data in Otolaryngology. 2024. :47
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Vemulavada S, Karthikvatsan S, Babu A, Kadalmani B, Devi TR, Sasipraba T, Manikkam R, Parthasarathy K, Balaji VH. Translational Research in Biomedical Sciences: Recent Progress and Future Prospects. 2024. Chapter 9:121
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