Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

Cited by (589)

Items 301–400 of 589

1. Quantifying the scientific interest in surgical training and education: numerical evidence of a PubMed analysis
   Gaetano La Greca, Elena Schembari, Carlo Bortolussi, Antonio Pesce, Marco Vitale, Saverio Latteri, Elisa Reitano, Domenico Russello · 2020 · Updates in Surgery
2. [Retracted] Optimization of Clinical Nursing Management System Based on Data Mining
   Yongxia Chen · 2021 · Complexity · Retracted
3. Big Data Analytics for Medication Management in Diabetes Mellitus
   Lidong Wang, Cheryl Ann Alexander · 2016 · International Journal of Studies in Nursing
4. Co-creation and Participatory Design of Big Data Infrastructures on the Field of Human Health Related Climate Services
   Pablo Fdez-Arróyabe, Dominic Royé · 2017 · Studies in big data
5. Numeracy and Understanding of Quantitative Aspects of Predictive Models: A Pilot Study
   Gary E. Weissman, Kuldeep N. Yadav, Vanessa L. Madden, Katherine R. Courtright, Joanna L. Hart, David A. Asch, Marilyn M. Schapira, Scott D. Halpern · 2018 · Applied Clinical Informatics
6. Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering
   José David Martín-Fernández, José María Luna-Romera, Beatriz Pontes, José C. Riquelme · 2019 · Advances in intelligent systems and computing
7. Identifying strategies to overcome roadblocks to utilising near real-time healthcare and administrative data to create a Scotland-wide learning health system
   Mome Mukherjee, Kathrin M. Cresswell, Aziz Sheikh · 2021 · Health Informatics Journal
8. Can Big Data Make a Difference for Urban Management?
   Ulrich Mans, Sarah N. Giest, Thomas Baar · 2018 · Cambridge University Press eBooks
9. Intersections of Technological and Regulatory Zones in Regenerative Medicine
   Linda F. Hogle · 2017 · Springer eBooks
10. All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III)
    Anubhav Reddy Nallabasannagari, Madhu Reddiboina, Ryan G. N. Seltzer, Trevor Zeffiro, Ajay Kumar Sharma, Mahendra Bhandari · 2020 · arXiv (Cornell University)
11. The Impact of Big Data Analytics on Health Care: A Systematic Review
    Iman A. Akour, Said Abdelrahim Salloum · 2024 · Research Square
12. Building a Competency Framework to Integrate Inter-disciplinary Precision Medicine Capabilities into the Medical Technology and Pharmaceutical Industry
    Nicholette Conway, Orin Chisholm · 2024 · Therapeutic Innovation & Regulatory Science
13. Development and Validation of a Deep Learning Model for Prediction of Adult Physiological Deterioration
    Supreeth Prajwal Shashikumar, Joshua Pei Le, Nathan Yung, James Ford, Karandeep Singh, Atul Malhotra, Shamim Nemati, Gabriel Wardi · 2024 · Critical Care Explorations
14. Exercise and Experiments of Nature
    Michael J. Joyner, Chad C. Wiggins, Sarah E. Baker, Stephen A. Klassen, Jonathon W. Senefeld · 2023 · Comprehensive physiology
15. Descriptive and Predictive Analytics on Electronic Health Records using Machine Learning
    V. Anandi, M. Ramesh · 2022 · International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
16. eVerlab: Software Tool for Medical Device Safety and Performance Inspection Management
    Lejla Gurbeta, Almir Badnjević, Emina Kurta · 2019 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
17. Discovery, Learning, and Experimentation With Artificial Intelligence–Based Tools at the Point of Care—Perils and Opportunity
    Andrew David Auerbach, Stephan D. Fihn · 2021 · JAMA Network Open
18. Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research
    Wenjun He, Katie Kirchoff, Royce R. Sampson, Kimberly McGhee, Andrew Cates, Jihad S. Obeid, Leslie Andrew Lenert · 2021 · Journal of the American Medical Informatics Association
19. Harness Urban Complexity for Health and Well-Being
    Franz Wilhelm Gatzweiler, Jo Ivey Boufford, Anna Pomykała · 2018 · Cambridge University Press eBooks
20. Who Can Implement the Sustainable Development Goals in Urban Areas?
    David Satterthwaite · 2018 · Cambridge University Press eBooks
21. Implementation of prediction models in the emergency department from an implementation science perspective—Determinants, outcomes and real-world impact: A scoping review protocol
    Sze Ling Chan, Jin Wee Lee, Marcus Eng Hock Ong, Fahad Javaid Siddiqui, Nicholas Graves, Andrew Fu Wah Ho, Nan Liu · 2022 · PLoS ONE
22. The Future of Internet of Things for Anomalies Detection using Thermography
    Amira Hassan Abed, Mona Mohamed Nasr, Walaa Elsayed Saber · 2019 · International Journal of Advanced Networking and Applications
23. Liquid Biopsy and eHealth in Heart Failure
    Antoni Bayés‐Genís, David Lanfear · 2019 · Journal of the American College of Cardiology
24. Organizational Integration of Decision Analytic Methods in Healthcare Settings
    Christopher L. Pate, Mark D. Swofford · 2016 · Advances in medical diagnosis, treatment, and care (AMDTC) book series
25. Survey of attitudes in a Danish public towards reuse of health data
    Lea Skovgaard, Claus Thorn Ekstrøm, Mette Nordahl Svendsen, Klaus Hoeyer · 2024 · PLoS ONE
26. Improving Safety of Diabetes Mellitus Management
    Kasia J. Lipska · 2014 · JAMA Internal Medicine
27. A Study on Big Cancer Data
    Sabuzima Nayak, Ripon Patgiri · 2019 · Advances in intelligent systems and computing
28. Examining the barriers to accepting big health data from a health marketeer’s perspective
    Rebecca Benn, Alan Shaw · 2021 · Health Marketing Quarterly
29. A CT-based radiomics nomogram for distinguishing between malignant and benign Bosniak IIF masses: a two-centre study
    Ting Wang, Hsuan‐Chia Yang, Dapeng Hao, P. Nie, Yao Liu, Chiun‐Sheng Huang, Yao Huang, H. Wang, H. Niu · 2023 · Clinical Radiology
30. Plausible reasoning over large health datasets: A novel approach to data analytics leveraging semantics
    Hossein Mohammadhassanzadeh, Samina Abidi, Syed Sibte Raza Abidi · 2024 · Knowledge-Based Systems
31. Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations
    Janie Coulombe, Shu Yang · 2024 · Biometrics
32. Machine Learning Models for Predicting Mortality in Hemodialysis Patients: A Systematic Review
    Alexandru Cătălin Motofelea, Adelina Mihăescu, Nicu Olariu, Luciana Marc, Lazar A. Chisavu, Gheorghe Nicușor Pop, Andreea Crintea, Ana Maria Cristina Jura, Viviana Mihaela Ivan, Adrian Apostol et al. · 2025 · Applied Sciences
33. A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk
    Yuan-Chia Chu, Wen-Tsung Kuo, Yuan-Ren Cheng, Chung-Yuan Lee, Cheng‐Ying Shiau, Der‐Cherng Tarng, Feipei Lai · 2018 · Scientific Reports
34. Inflection Point
    Harlan M. Krumholz · 2020 · Circulation Cardiovascular Quality and Outcomes
35. High performance implementation of the hierarchical likelihood for generalized linear mixed models: an application to estimate the potassium reference range in massive electronic health records datasets
    Cristian Bologa, V. Shane Pankratz, Mark L. Unruh, Maria Roumelioti, Vallabh O. Shah, Saeed K. Shaffi, Soraya Arzhan, John Cook, Christos Argyropoulos · 2021 · BMC Medical Research Methodology
36. The Prevalence of Big Data Analytics in Public Policy: Is There a Research-Pedagogy Gap?
    Nihit Goyal, Ola G. El‐Taliawi, Michael P. Howlett · 2022 · Springer eBooks
37. Development and Application of an Intensive Care Medical Data Set for Deep Learning
    Shangping Zhao, Pan Liu, Guanxiu Tang, Yanming Guo, Guohui Li · 2020 · IEEE International Conference on Big Data (BigData)
38. Live with Risk While Reducing Vulnerability
    Patricia Romero‐Lankao, Olga V. Wilhelmi, Mikhail Chester · 2018 · Cambridge University Press eBooks
39. Introduction
    Donna L. Dickenson, B.C. van Beers, Sigrid Sterckx · 2018 · Cambridge University Press eBooks
40. Adaptive evidence-based medicine in type 2 diabetes: beyond the average effect toward personalised clinical decision-making for a humanised medicine
    Salvatore Corrao, Salvatore Scibetta, Luigi Mirarchi, Simona Amodeo, Giacomo Corrao, Luigi Calvo · 2026 · Diabetes Research and Clinical Practice
41. Operationalizing and digitizing person-centered daily functioning: a case for functionomics
    Esther Janssen, Ilona M. Punt, Johan van Soest, Yvonne F. Heerkens, Hillegonda A. Stallinga, Huib ten Napel, Lodewijk W. van Rhijn, Barend Mons, Andre L.A.J. Dekker, Paul C. P. H. Willems et al. · 2024 · BMC Medical Informatics and Decision Making
42. Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction
    Xiao Jun Xu, Shu‐Xia Li, Haiqun Lin, Sharon‐Lise T. Normand, Tara C. Lagu, Nihar R. Desai, Michael Duan, Eugene A. Kroch, Harlan M. Krumholz · 2016 · Medical Care
43. Digital Systems Innovation for Health Data Analytics
    Kamaljeet Sandhu · 2019 · Advances in healthcare information systems and administration book series
44. Designing an Interprofessional Online Course to Foster Learning Health Systems
    Sathana Dushyanthen, Dawn Choo, Meg Perrier, Kathleen Mary Gray, Daniel Capurro N, Douglas E. V. Pires, Brian E. Chapman, Graeme K. Hart, Kit Huckvale, Wendy W. Chapman et al. · 2024 · Studies in health technology and informatics
45. Child welfare worker perspectives on documentation and case recording practices in Canada: A mixed-methods study protocol
    Nathaniel J. Pollock, Cassandra Yantha, Lil Tonmyr, Kimberly Jewers-Dailley, Melody E. Morton Ninomiya · 2025 · PLoS ONE
46. The future of artificial intelligence in cardiovascular monitoring
    Massimiliano Greco, Marta Lubian, Maurizio Cecconi · 2025 · Current Opinion in Critical Care
47. La analítica del aprendizaje en educación médica: ¿punto de inflexión?
    Melchor Sánchez Mendiola, J. Moreno, Tomás Bautista Godínez, Adrián Martínez-González · 2018 · Gaceta Médica de México
48. Analysis on the Mechanism of Digital Economy Boosting the High-quality Development of Agriculture in China
    Jianhua Zhao, Yanyu Gong · 2020 · E3S Web of Conferences
49. The Molecularised Me
    Hub A. E. Zwart · 2018 · Cambridge University Press eBooks
50. Unveiling the future of COVID-19 patient care: groundbreaking prediction models for severe outcomes or mortality in hospitalized cases
    Nguyen Thi Hien, Feng‐Jen Tsai, Yu-Hui Chang, Whitney Burton, Phan Thanh Phuc, Phung‐Anh Nguyen, Dorji Harnod, Carlos Lam, Tsung‐Chien Lu, Chang-I Chen et al. · 2024 · Frontiers in Medicine
51. La telesalud y las nuevas fronteras de la informática biomédica en el Perú
    Walter H. Curioso · 2015 · Revista Peruana de Medicina Experimental y Salud Pública
52. The rocky exhilarating journey from data to wisdom
    Paul A. Kurlansky · 2020 · Journal of Thoracic and Cardiovascular Surgery
53. Learning analytics in medical education: a turning point?
    Melchor Sánchez Mendiola, J. Moreno, Tomás Bautista Godínez, Adrián Martínez-González · 2019 · Gaceta Médica de México
54. Clinical decision support systems: From medical simulation to clinical practice
    Thomas John Papadimos, Scott M. Pappada · 2017 · International Journal of Academic Medicine
55. Analysis and Design of Web-Based Health Service Information Systems (E-Health), in the Industrial Revolution Era 4.0
    Wulan Andang Purnomo, Wahyu Prima, Yusran, Raimon Efendi, Suryadimal Suryadimal · 2021 · Journal of Physics Conference Series
56. Lost and Found
    Klaus Hoeyer · 2018 · Cambridge University Press eBooks
57. Some lessons learned using health data literature for smart information retrieval
    Mario Ciampi, Giuseppe De Pietro, Elio Masciari, Stefano Silvestri · 2020 · ACM Symposium on Applied Computing
58. Interpretable Dynamic Treatment Regimes
    Yichi Zhang, Eric B. Laber, Anastasios A. Tsiatis, Marie Davidian · 2016 · arXiv (Cornell University)
59. ISTHMUS: Secure, Scalable, Real-time and Robust Machine Learning Platform for Healthcare
    Akshay Arora, Arun Nethi, Priyanka Kharat, Vency Verghese, Jenkins, Grant, Steve Miff, Vikas Chowdhry, Xiao Wang · 2019 · arXiv (Cornell University)
60. The role of patients, caregivers, and communities in Learning Health Systems: a narrative review
    Rachel Giacomantonio, Susan Dunn, Donna Rubenstein, Mari Somerville, Kristen Hemming, Lauren McLaughlin, Teresa M. D. Finlay, Joseph P. Wherton · 2025 · Frontiers in Health Services
61. On Adjusting for Life’s Confounding
    Steve R Kisely · 2016 · The Canadian Journal of Psychiatry
62. Machine-learning models are superior to severity scoring systems for the prediction of the mortality of critically ill patients in a tertiary medical center
    Ruey‐Hsing Chou, Benny Wei‐Yun Hsu, Chun-Lin Yu, Tai‐Yuan Chen, Shuo‐Ming Ou, Kuo‐Hua Lee, Vincent S. M. Tseng, Po‐Hsun Huang, Der‐Cherng Tarng · 2024 · Journal of the Chinese Medical Association
63. Frameworks of Causal Inference for Improving Intervention, Prediction, and Imagination in Family Violence Research: a Commentary on Rose (2018)
    Paul Lanier · 2019 · Journal of Family Violence
64. Big Data
    Michael J. Pentecost · 2015 · Journal of the American College of Radiology
65. Role of smartphone devices in precision oncology
    Ruby Srivastava · 2022 · Journal of Cancer Research and Clinical Oncology
66. Technical note: A knowledge graph approach to registering tumour specific data of patient‐candidates for proton therapy in the Netherlands
    Petros Kalendralis, Matthijs Sloep, Ananya Choudhury, Lerau Seyben, Jasper Snel, Nibin Moni George, Joeri Veugen, Martijn Veening, Johannes Albertus Langendijk, Andre L.A.J. Dekker et al. · 2022 · Medical Physics
67. A Scoping Review on Learning Health Networks Available in Pediatric Surgical Specialties
    Michael Erlano Chua, Jan Michael Silangcruz, Jin Kyu Kim, Martin Allan Koyle, Abi Sriharan · 2023 · Journal of Pediatric Surgery
68. Applying AI and Guidelines to Assist Medical Students in Recognizing Patients With Heart Failure: Protocol for a Randomized Trial
    Hyeon Joo, Michael R. Mathis, Marty Tam, Cornelius A. James, Peijin Han, Rajesh S. Mangrulkar, Charles P. Friedman, V. G. Vinod Vydiswaran · 2023 · JMIR Research Protocols
69. Empowering Sustainable Mobility: Exploring MaaS as a Big Data Application in Transportation Planning
    Antonella Falanga, Ilaria Henke, Armando Cartenì · 2024 · Lecture notes on data engineering and communications technologies
70. Network governance in healthcare systems: a systematic review of the network-level factors
    Reza Aalikhani, Mohammad Reza Rasouli, Hossein Ghanbari, Mohammad Fathian, Alireza Ali ahmadi · 2024 · Journal of Health Organization and Management
71. Advanced Imaging Reduces Cost Compared to Standard of Care in Emergency Department of Triage of Acute Chest Pain
    Pamela S. Noack, Jhanna A. Moore, Michael Poon · 2017 · Health Services Research
72. Utilizing Incremental Learning for the Prediction of Disease Outcomes Across Distributed Clinical Data: A Framework and a Case Study
    Vasileios C. Pezoulas, Themis P. Exarchos, Konstantina D. Kourou, Athanasios G. Tzioufas, Salvatore De Vita, Dimitrios I. Fotiadis · 2019 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
73. A test for treatment effects in randomized controlled trials, harnessing the power of ultrahigh dimensional big data
    Wen‐Chung Lee, Jui‐Hsiang Lin · 2019 · Medicine
74. Machine learning for predictive analytics
    Sehj Kashyap, Kristin Corey, Aman Kansal, Mark Sendak · 2021 · Elsevier eBooks
75. Big Data Literature Search
    2014 · Big Data
76. Using administrative data for your research project: 10 considerations before you begin
    Emily Brouwer, Anne Policastri, Daniela C. Moga · 2015 · American Journal of Health-System Pharmacy
77. A Population Health Strategy for Diabetes: New Partners, New Opportunities
    Glover Park Group, Rachel Bright, Brian Sakurada · 2016 · NAM Perspectives
78. Handling Big Data in Precision Medicine
    Enrique Hernandez Lemus, Jesús Espinal Enríquez, Rodrigo García-Herrera · 2017 · Elsevier eBooks
79. A FOUNDATION FOR INDUCTIVE REASONING IN HARNESSING THE POTENTIAL OF BIG DATA
    R. Hassad · 2020 · Statistics Education Research Journal
80. Big Data Analytics in Healthcare: A Review of Opportunities and Challenges
    Marjan Mansourvar, Uffe Kock Wiil, Christian Gradhandt Nøhr · 2020 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
81. Decision tree modeling in R software to aid clinical decision making
    Elena G. Toth, David Gibbs, Jackie Moczygemba, Alexander J. McLeod Jr. · 2021 · Health and Technology
82. Collaborative and Equitable Urban Citizen Science
    Karen MacClune, Kanmani Venkateswaran, Bolanle Wahab, Sascha Petersen, Nivedita Mani, Bijay Kumar Singh, Ajay Kumar Singh · 2018 · Cambridge University Press eBooks
83. Impacts of business intelligence on population health
    Lyrice Cohen · 2017 · South African Institute of Computer Scientists and Information Technologists
84. Grant Applications With a Result-Based Orientation
    Harlan M. Krumholz · 2013 · Circulation Cardiovascular Quality and Outcomes
85. Natural language processing for precision clinical diagnostics and treatment
    Isabel Chien · 2018 · DSpace@MIT (Massachusetts Institute of Technology)
86. Modernizing Informed Consent During Emergency Care
    Mehul D. Patel, Brooke Namboodri Spratte, Timothy F. Platts‐Mills · 2020 · Annals of Emergency Medicine
87. One Size Fits None. How can we do better? using patient reported experience measure findings to drive local quality improvement across wards in a large Australian metropolitan hospital
    Teyl Engstrom, Christine Petrie, William F. Pinzon Perez, Clair M. Sullivan, Jason D. Pole · 2025 · International Journal of Medical Informatics
88. Data-Driven Culture in Medicine and Surgery: Policy Pathways to Learning Health Systems
    Leonardo Reis, Tomás Bernardo Costa Moretti · 2026 · International Journal of General Medicine
89. Use of Artificial Intelligence to Predict Outcomes in Critically Ill Patients Receiving Extracorporeal Membrane Oxygenation: A Systematic Review
    Michael Keane, S. Sajan, Keith Nockels, Vasileios Zochios, Aamer Ahmed, Hakeem O. Yusuff · 2026 · Journal of Cardiothoracic and Vascular Anesthesia
90. Challenges in Causal Inference from Personal Monitoring Devices
    Tomasz Wiktorski · 2018 · Annals of Computer Science and Information Systems
91. ‘The Best Me I Can Possibly Be’
    B.C. van Beers · 2018 · Cambridge University Press eBooks
92. The Landscape of PPM Informatics and the Future of Medicine
    Constantin Aliferis, Terrence J Adam · 2019 · Health informatics
93. Bringing Evidence into Practice in Hand Surgery
    Jennifer F. Waljee, Kevin C. Chung · 2020 · Hand Clinics
94. Moving Pediatric Complex Care Forward: Big Data and National Research Collaborations
    Justin A. Yu, Amy Joy Houtrow · 2021 · PEDIATRICS
95. Advancing Through Data: A Critical Review of the Evolution of Medical Information Management Systems
    2023 · International Journal of Bio-Medical Informatics and e-Health
96. Interpretable and robust hospital readmission predictions from Electronic Health Records
    Hugo Calero-Díaz, Rebeen Ali Hamad, Christian Atallah, John Casement, Dexter Canoy, Nick J. Reynolds, Michael R. Barnes, Paolo Missier B · 2023 · IEEE International Conference on Big Data (BigData)
97. Exploring the landscape of essential health data science skills and research challenges: a survey of stakeholders in Africa, Asia, and Latin America and the Caribbean
    Sally Boylan, Agklinta Kiosia, Matthew Retford, Larissa Pruner Marques, Flávia Thedim Costa Bueno, Md. Saimul Islam, Anne Wozencraft · 2025 · Frontiers in Public Health
98. Analysis and Mapping of Machine Learning in the Context of Diabetes
    Arezoo Ghamgosar, Leila Nemati‐Anaraki, Maryam Zarghani, Hooman Bazri, Leila Ahmadian, Zahra Galavi, Somaye Norouzi · 2025 · Health Science Reports
99. Using independent resource allocation strategies to solve conflicts of Hadoop distributed architecture in virtualization
    Jin-Bang Hsu, Chi‐Fang Lin, Yang-Cheng Chang, Ren-Hao Pan · 2020 · Cluster Computing
100. A single framework of precision surveillance of diabetes disease prognosis for better care with collaboration
     Hsing Luh, Ming‐Yen Lin, Ping‐Hsun Wu · 2022 · Journal of Integrated Design and Process Science