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

Cited by (587)

Items 101–200 of 587

1. Are Patients With Cancer Less Willing to Share Their Health Information? Privacy, Sensitivity, and Social Purpose
   David Grande, David A. Asch, Fei Wan, Angela R. Bradbury, Reshma Jagsi, Nandita Mitra · 2015 · Journal of Oncology Practice
2. Construction of a restriction-less, marker-less mutant useful for functional genomic and metabolic engineering of the biofuel producer Clostridium acetobutylicum
   Croux, Christian, Nguyen, Ngoc-Phuong-Thao, Lee, Jieun, Raynaud, Céline, Saint-Prix, Florence, Gonzalez-Pajuelo, Maria, Meynial-Salles, Isabelle, Soucaille, Philippe · 2016 · Biotechnology for Biofuels
3. Clinical Research Informatics for Big Data and Precision Medicine
   Michael G. Kahn, Chunhua Weng · 2016 · Yearbook of Medical Informatics
4. Behind the scenes: A medical natural language processing project
   Joy Tzung-Yu Wu, Franck Dernoncourt, Sebastian Gehrmann, Patrick D. Tyler, Edward T. Moseley, Eric T Carlson, David W. Grant, Yeran Li, Jonathan A. Welt, Leo Anthony Celi · 2017 · International Journal of Medical Informatics
5. Review of Innovative Immersive Technologies for Healthcare Applications
   Zhonglin Qu, Chng Wei Lau, Simeon J. Simoff, Paul J Kennedy, Quang Vinh Nguyễn, Daniel Robin Catchpoole · 2022 · Innovations in Digital Health Diagnostics and Biomarkers
6. Can a machine learning model accurately predict patient resource utilization following lumbar spinal fusion?
   Jaret M. Karnuta, Joshua L. Golubovsky, Heather S. Haeberle, Prashant V. Rajan, Sergio Michael Navarro, Atul F. Kamath, Jonathan L. Schaffer, Viktor E. Krebs, Dominic W. Pelle, Prem N. Ramkumar · 2019 · The Spine Journal
7. Variability in Language used on Social Media prior to Hospital Visits
   Sharath Chandra Guntuku, H. Andrew Schwartz, Adarsh Kashyap, Jessica S. Gaulton, Daniel C. Stokes, David A. Asch, Lyle Ungar, Raina M. Merchant · 2020 · Scientific Reports
8. Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
   Yixi Chen, Gregory F. Guzauskas, Chengming Gu, Bruce Wang, Wesley E. Furnback, Guotong Xie, Peng Dong, Louis P. Garrison · 2016 · Journal of Personalized Medicine
9. From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community
   Joanna Kaźmierska, Andrew J. Hope, Emiliano Spezi, Sam A. Beddar, William Henry Nailon, Biche Osong, Anshu Ankolekar, Ananya Choudhury, Andre L.A.J. Dekker, Kathrine Røe Redalen et al. · 2020 · Radiotherapy and Oncology
10. Seeds of the Future in the Present
    Laura Maureen Pereira, Elena M. Bennett, Reinette Biggs, Garry Peterson, Timon McPhearson, Albert V. Norström, Per Olsson, Rika Preiser, Ciara Raudsepp‐Hearne, Joost Vervoort · 2018 · Cambridge University Press eBooks
11. Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medication
    Martyn Symons, Gerald F.X. Feeney, Marcus Reginald Gallagher, Ross McD. Young, Jason P. Connor · 2019 · Journal of Substance Abuse Treatment
12. Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives
    Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, Hina Naz, Atifa Waheed, Feruza Ravshanovna Zokirova, Humera Khan · 2024 · Therapeutic Advances in Vaccines and Immunotherapy
13. Challenges and best practices for big data-driven healthcare innovations conducted by profit–non-profit partnerships – a quantitative prioritization
    E. Rosalie Witjas‐Paalberends, L. P. M. van Laarhoven, Linda van de Burgwal, J. Feilzer, jacques de swart, Eric Claassen, Wouter T. M. Jansen · 2017 · International Journal of Healthcare Management
14. A review of big data applications of physiological signal data
    Christina Orphanidou · 2019 · Biophysical Reviews
15. What is Health Information Exchange?
    Brian Edward Dixon · 2016 · Elsevier eBooks
16. Textual analysis and visualization of research trends in data mining for electronic health records
    Jingfeng Chen, Wei Wei, Chonghui Guo, Lin Tang, Leilei Sun · 2017 · Health Policy and Technology
17. Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective
    Arianna Dagliati, Valentina Tibollo, Lucia Sacchi, Alberto L. Malovini, Ivan Limongelli, Matteo Gabetta, Carlo Napolitano, Andrea Mazzanti, Pasquale De Cata, Luca Chiovato et al. · 2018 · Frontiers in Digital Humanities
18. Data science, learning, and applications to biomedical and health sciences
    Nabil R. Adam, Robert Wieder, Debopriya Ghosh · 2017 · Annals of the New York Academy of Sciences
19. Prediction Accuracy With Electronic Medical Records Versus Administrative Claims
    Zeltzer, Dan, Balicer, Ran D., Shir, Tzvi, Flaks-Manov, Natalie, Einav, Liran, Shadmi, Efrat · 2019 · Medical Care
20. MIoT-Based Big Data Analytics Architecture, Opportunities and Challenges for Enhanced Telemedicine Systems
    Joseph Bamidele Awotunde, Abidemi Emmanuel Adeniyi, Roseline Oluwaseun Ogundokun, Gbemisola Janet Ajamu, Paul Olujide Adebayo · 2021 · Studies in fuzziness and soft computing
21. Insights into Antidepressant Prescribing Using Open Health Data
    Brian Cleland, Jonathan G. Wallace, Raymond Bond, Michaela M. Black, Maurice D. Mulvenna, Deborah Rankin, Austin Tanney · 2018 · Big Data Research
22. Human Microbiome and Learning Healthcare Systems: Integrating Research and Precision Medicine for Inflammatory Bowel Disease
    Kim H. Chuong, David R. Mack, Alain P. Stintzi, Kieran C. O’Doherty · 2017 · OMICS A Journal of Integrative Biology
23. Cloud-based IoMT framework for cardiovascular disease prediction and diagnosis in personalized E-health care
    Kayode S. Adewole, Abimbola Ganiyat Akintola, Rasheed Gbenga Jimoh, Modinat Abolore Mabayoje, Muhammed K. Jimoh, Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Arun Kumar Sangaiah, Ahmed Oloduowo Ameen · 2021 · Elsevier eBooks
24. A fully integrated open-source toolkit for mining healthcare big-data: architecture and applications
    A. Ravishankar Rao, Daniel J. B. Clarke · 2016 · IEEE International Conference on Healthcare Informatics (ICHI)
25. The UN, the Urban Sustainable Development Goal, and the New Urban Agenda
    Andrew Rudd, Dávid Simon, Maruxa Cardama, Eugenie Ladner Birch, Aromar Revi · 2018 · Cambridge University Press eBooks
26. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach
    David Castiñeira, Katherine R Schlosser, Alon Geva, Amir R Rahmani, Gaston A. Fiore, Brian K Walsh, Craig D Smallwood, John H. Arnold, Mauricio Santillana · 2020 · Respiratory Care
27. Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects
    Rola Khamisy‐Farah, Leonardo B. Furstenau, Jude Dzevela Kong, Jianhong Wu, Nicola Luigi Bragazzi · 2021 · International Journal of Environmental Research and Public Health
28. A machine learning model for predicting deterioration of COVID-19 inpatients
    Omer Noy, Dan Coster, Maya Metzger, Itai Atar, Shani Shenhar‐Tsarfaty, Shlomo A. Berliner, Galia Rahav, Ori Rogowski, Ron Shamir A · 2022 · Scientific Reports
29. How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review
    Timo Schulte, Sabine Bohnet-Joschko · 2022 · International Journal of Integrated Care
30. The role of big data in healthcare: A review of implications for patient outcomes and treatment personalization
    Ehizogie Paul Adeghe, Chioma Anthonia Okolo, Olumuyiwa Tolulope Ojeyinka · 2024 · World Journal of Biology Pharmacy and Health Sciences
31. A qualitative study of design stakeholders’ views of developing and implementing a registry-based learning health system
    Mary Dixon‐Woods, Anne Campbell, Trillium E. Chang, Graham Paul Martin, Alexandros Georgiadis, Veronica Heney, Sarah Chew, Aricca D. Van Citters, Kathryn A. Sabadosa, Eugene C. Nelson · 2020 · Implementation Science
32. Employability implications of artificial intelligence in healthcare ecosystem: responding with readiness
    Mahima Jain, Apoorva Goel, Shuchi Sinha, Sanjay Dhir · 2021 · foresight
33. Addressing Measurement Error in Random Forests Using Quantitative Bias Analysis
    Tammy Jiang, Jaimie L. Gradus, Timothy Lee Lash, Matthew P. Fox · 2021 · American Journal of Epidemiology
34. Genomic translational research: Paving the way to individualized cardiac functional analyses and personalized cardiology
    Ares D. Pasipoularides · 2016 · International Journal of Cardiology
35. Determining Chronic Disease Prevalence in Local Populations Using Emergency Department Surveillance
    David C. Lee, Judith A. Long, Stephen P. Wall, Brendan G. Carr, Samantha N. Satchell, Ronald Scott Braithwaite, Brian D. Elbel · 2015 · American Journal of Public Health
36. Creating learning health systems and the emerging role of biomedical informatics
    Martin Steven Kohn, Ümit Topaloĝlu, Eric S. Kirkendall, Ajay Dharod, Brian J. Wells, Metin N. Gürcan · 2021 · Learning Health Systems
37. Integrating socially accountable health professional education and learning health systems to transform community health and health systems
    Brianne Wood, Michael Fitzgerald, Claire Kendall, Erin Cameron · 2021 · Learning Health Systems
38. Utilizing an integrated infrastructure for outcomes research: a systematic review
    Dixon, Brian E., Whipple, Elizabeth C., Lajiness, John M., Murray, Michael D. · 2016 · Health Information & Libraries Journal
39. Algorithmic accountabilities and health systems: A review and sociomaterial approach
    Joseph Donia · 2025 · Big Data & Society
40. Current data science capacity building initiatives for health researchers in LMICs: global & regional efforts
    Kiosia, Agklinta, Boylan, Sally, Retford, Matthew, Marques, Larissa Pruner, Bueno, Flávia Thedim Costa, Kirima, Christine, Islam, Md Saimul, Naheed, Aliya, Wozencraft, Anne · 2024 · Frontiers in Public Health
41. Applications of artificial intelligence in, early detection of cancer, clinical diagnosis and personalized medicine
    Mujib Ullah, Asma Akbar, Gustavo Yannarelli · 2020 · WArtificial Intelligence in Cancer
42. Artificial intelligence in peritoneal dialysis: general overview
    Qiong Bai, Wen Tang · 2022 · Renal Failure
43. Enabling the Adoption of Machine Learning in Clinical Decision Support: A Total Interpretive Structural Modeling Approach
    Ahmad A. Abujaber, Abdulqadir J. Nashwan, Adam Mohamedali Fadlalla · 2022 · Informatics in Medicine Unlocked
44. Safety or no safety in numbers? Governments, big data and public policy formulation
    Joseph Amankwah‐Amoah · 2015 · Industrial Management & Data Systems
45. Using nationwide ‘big data’ from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme
    Harry Hemingway, Gene Solomon Feder, Natalie K. Fitzpatrick, Spiros Denaxas, Anoop D Shah, Adam Timmis · 2017 · Programme Grants for Applied Research
46. Impact of artificial intelligence on Indian health care systems
    Sukhvinder Kaur Sodhi, Sanjeev Bansal, Utkarsh Saxena, Ravneet Singh Bhandari · 2025 · International Journal of Systems Assurance Engineering and Management
47. Patient-generated health data and electronic health record integration: protocol for a scoping review
    Victoria L. Tiase, William Hull, Mary McFarland, Katherine Ann Sward, Guilherme Del Fiol, Catherine Janes Staes, Charlene R. Weir, Mollie Rebecca Cummins · 2019 · BMJ Open
48. Sharing Patient-Controlled Real-World Data Through the Application of the Theory of Commons: Action Research Case Study
    Andreas Hager, Staffan Lindblad, Mats Brommels, Stina Salomonsson, Carolina Wannheden · 2020 · Journal of Medical Internet Research
49. Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics
    Sarah Shafqat, Maryyam Fayyaz, Hasan Ali Khattak, Muhammad Bilal, Shahid Khan, Osama Ishtiaq, Almas Abbasi, Farzana Shafqat, Waleed S. Alnumay, Pushpita Chatterjee · 2021 · Neural Processing Letters
50. Development of a Set of Lupus‐Specific, Ambulatory Care–Sensitive, Potentially Preventable Adverse Conditions: A Delphi Consensus Study
    Candace H. Feldman, Cameron B. Speyer, Rachel K. Ashby, Bonnie Lee Bermas, Shamik Bhattacharyya, Eliza F. Chakravarty, Brendan M. Everett, Elizabeth D. Ferucci, Aimee O. Hersh, Francisco M. Marty et al. · 2019 · Arthritis Care & Research
51. OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases
    Andre D. Kumar, Rachael C. Aikens, Jason Hom, Lisa Y. Shieh, Jonathan Chiang, David Morales, Divya Saini, Mark A. Musen, Michael Baiocchi, Russ Biagio Altman et al. · 2020 · Journal of the American Medical Informatics Association
52. Machine learning methods for hospital readmission prediction: systematic analysis of literature
    Talen Chen, Samaneh Madanian, David Airehrour, Marianne Cherrington · 2022 · Journal of Reliable Intelligent Environments
53. Data classification using rough set and bioinspired computing in healthcare applications - an extensive review
    Nancy Kumari, D. P. Acharjya · 2022 · Multimedia Tools and Applications
54. Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program
    Akihiro Shimoda, Daisuke Ichikawa, Hiroshi Ōyama · 2017 · International Journal of Medical Informatics
55. Guiding principles for the use of knowledge bases and real-world data in clinical decision support systems: report by an international expert workshop at Karolinska Institutet
    Mikael Hoffmann, Robert Vander Stichele, David Westfall Bates, Johanna Björklund, Steve Alexander, Marine L. Andersson, Ane Auraaen, Marion Bennie, Marja­‐Liisa Dahl, Birgit Eiermann et al. · 2020 · Expert Review of Clinical Pharmacology
56. Improving Patient Outcomes in Gynecology: The Role of Large Data Registries and Big Data Analytics
    Elisabeth A. Erekson, Cheryl Bernadette Iglesia · 2015 · Journal of Minimally Invasive Gynecology
57. The potential beyond IC 4.0: the evolution of business intelligence towards advanced business analytics
    Milla Ratia, Jussi Myllärniemi, Nina Helander · 2019 · Measuring Business Excellence
58. Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis
    Eberechukwu Onukwugha · 2016 · PharmacoEconomics
59. SURVEY ON ACCURACY OF PREDICTIVE BIG DATA ANALYTICS IN HEALTHCARE
    S. Smys · 2019 · Journal of Information Technology and Digital World
60. Development of Novel Big Data Analytics Framework for Smart Clothing
    Mominul Ahsan, Siew Hon Teay, Alhussein Albarbar · 2020 · IEEE Access
61. The ability to classify patients based on gene-expression data varies by algorithm and performance metric
    Stephen Piccolo, Avery Mecham, Nathan P. Golightly, Jérémie L. Johnson, Dustin B. Miller · 2022 · PLoS Computational Biology
62. Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management
    Joseph Bamidele Awotunde, Rasheed Gbenga Jimoh, Idowu Dauda Oladipo, Muyideen AbdulRaheem, Taibat Bolanle Jimoh, Gbemisola Janet Ajamu · 2021 · Studies in systems, decision and control
63. Big data analytics in healthcare: current practices, innovations, and future prospects
    Khurram Shahzad, Shakeel Ahmad Khan, Mujahid Latif, Asfa Muhammed Din Javeed, Abid Iqbal · 2025 · Journal Of Big Data
64. Big Data and Comparative Effectiveness Research in Radiation Oncology: Synergy and Accelerated Discovery
    Daniel Michael Trifiletti, Timothy Norman Showalter · 2015 · Frontiers in Oncology
65. Health provider perspectives of electronic medication monitoring in outpatient asthma care: a qualitative investigation using the consolidated framework for implementation research
    Kristin Kan, Sara L. Shaunfield, Madeleine K. Kanaley, Avneet S. Chadha, Kathy Boon, Luis Morales, Matthew M. Davis, Deneen D. Vojta, Ruchi S. Gupta · 2020 · Journal of Asthma
66. Prediction of Malaria Fever Using Long-Short-Term Memory and Big Data
    Joseph Bamidele Awotunde, Rasheed Gbenga Jimoh, Idowu Dauda Oladipo, Muyideen AbdulRaheem · 2021 · Communications in computer and information science
67. The Past, Present, and Future of the Healthcare Delivery System Through Digitalization
    Korina Katsaliaki, Sameer Kumar · 2022 · IEEE Engineering Management Review
68. The new era of business intelligence
    Milla Ratia, Jussi Myllärniemi, Nina Helander · 2018 · Meditari Accountancy Research
69. Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital
    Carly Eckert, Neris M. Nieves-Robbins, Elena A. Spieker, Tom Louwers, David Hazel, James Marquardt, Keith Solveson, Anam Zahid, Muhammad Aurangzeb Ahmad, Richard P. Barnhill et al. · 2019 · Applied Clinical Informatics
70. Machine Learning Models for Multidimensional Clinical Data
    Christina Orphanidou, David Wong · 2017 · Scalable computing and communications
71. Empirical evaluation of the changes in public health nursing interventions after the implementation of an evidence-based family home visiting guideline
    Karen A. Monsen, Sadie M. Swenson, Lisa Klotzbach, Michelle Ann Mathiason, Karen E. Johnson · 2017 · Kontakt
72. Health Information System Research Situation in Indonesia: A Bibliometric Analysis
    Masyri Madjido, Aufia Espressivo, Ahmad Watsiq Maula, Anis Fuad, Mubasysyir Hasanbasri · 2019 · Procedia Computer Science
73. PriSUD-Nordic—Diagnosing and Treating Substance Use Disorders in the Prison Population: Protocol for a Mixed Methods Study
    Anne Bukten, Nicoline Toresen Lokdam, Ingeborg Skjærvø, Thomas Ugelvik, Svetlana Ondrasova Skurtveit, Roman Gabrhelík, Torbjørn Skarðhamar, Ingunn Olea Lund, Ingrid Amalia Havnes, Eline Borger Rognli et al. · 2022 · JMIR Research Protocols
74. Human Locomotion Databases: A Systematic Review
    David Pinto-Fernández, David Rodriguez-Cianca, Juan Camilo Moreno, Diego Torricelli · 2023 · IEEE Journal of Biomedical and Health Informatics
75. Tree-based Claims Algorithm for Measuring Pretreatment Quality of Care in Medicare Disabled Hepatitis C Patients
    Viktor Chirikov, Fadia Tohme Shaya, E. Onukwugha, C. Daniel Mullins, Susan dosReis, Charles D. Howell · 2015 · Medical Care
76. Big Data: Implications for Health System Pharmacy
    Laura B. Stokes, Joseph W. Rogers, John B. Hertig, Robert James Weber · 2016 · Hospital Pharmacy
77. Mapping the Intellectual Structure of the Big Data Research in the IS Discipline
    Surabhi Verma · 2017 · Information Resources Management Journal
78. Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine
    Massimiliano Zanin, Ivan Chorbev, Blaž Stres, Egils Stalidzāns, Julio Vera, Paolo Tieri, Filippo Castiglione, Derek Groen, Huiru Zheng, Jan Baumbach et al. · 2017 · Briefings in Bioinformatics
79. Observational Data for Integrated Maternity Care: Experiences with a Data-Infrastructure for Parents and Children in the Netherlands
    Zoë T. M. Scheefhals, Eline Frouke de Vries, Joyce M. Molenaar, Mattijs Everard Numans, Jeroen Nathan Struijs · 2023 · International Journal of Integrated Care
80. Governing Urban Sustainability Transformations
    Sarah Lynn Burch, Sara M. Hughes, Patricia Romero‐Lankao, Heike Schroeder · 2018 · Cambridge University Press eBooks
81. Training Future Family Physicians to Become Master Adaptive Learners
    Louito C. Edje, David Wm. Price · 2021 · Family Medicine
82. Introduction to health information exchange
    Brian Edward Dixon · 2023 · Elsevier eBooks
83. SmartHealth Simulation Representing a Hybrid Architecture Over Cloud Integrated with IoT
    Sarah Shafqat, Almas Abbasi, Tehmina Amjad, Hafiz Farooq Ahmad · 2018 · Advances in intelligent systems and computing
84. Big data analytics in the health sector: challenges and potentials
    Marina Jovanović-Milenković, Aleksandra Vukmirovic, Dejan Milenkovic · 2019 · Management Journal of Sustainable Business and Management Solutions in Emerging Economies
85. New modes of engagement for big data research
    David E. Winickoff, Leila Jamal, Nicholas Anderson · 2016 · Journal of Responsible Innovation
86. Implications of Physical Access Barriers for Breast Cancer Diagnosis and Treatment in Women With Mobility Disability
    Nicole D. Agaronnik, Areej R El-Jawahri, Lisa I. Iezzoni · 2021 · Journal of Disability Policy Studies
87. Bayesian Networks in Radiology
    Shawn X. Ma, Ali H. Dhanaliwala, Jeffrey D. Rudie, Andreas M. Rauschecker, Douglas Roberts-Wolfe, Peter Haddawy, Charles E. Kahn · 2023 · Radiology Artificial Intelligence
88. Establishing data-intensive healthcare: the case of Hospital Electronic Prescribing and Medicines Administration systems in Scotland
    Kathrin M. Cresswell, Pam A. Smith, Charles P. Swainson, Angela Timoney, Aziz Sheikh · 2016 · Journal of Innovation in Health Informatics
89. Heterogeneity in Early Responses in ALLHAT (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial)
    Sanket Shishir Dhruva, Chenxi Huang, Erica Sarah Spatz, Andreas C. Coppi, Frederick J. Warner, Shu‐Xia Li, Haiqun Lin, Xiao Jun Xu, Curt Daniel Furberg, Barry R. Davis et al. · 2017 · Hypertension
90. A Big Data architecture for knowledge discovery in PubMed articles
    Francesco Gargiulo, Stefano Silvestri, Mario Ciampi · 2017 · IEEE Symposium on Computers and Communications (ISCC)
91. Perioperative Surgical Home Models
    Thomas R. Vetter · 2018 · Anesthesiology Clinics
92. Notice of Removal: Deep Learning-Based Proarrhythmia Analysis Using Field Potentials Recorded From Human Pluripotent Stem Cells Derived Cardiomyocytes
    Zeinab Golgooni, Sara Mirsadeghi, Mahdieh Soleymani Baghshah, Pedram Ataee, Hossein Baharvand, Sara Pahlavan, Hamid Reza Rabiee · 2019 · IEEE Journal of Translational Engineering in Health and Medicine
93. Realizing a learning health system through process, rigor and culture change
    Yhenneko J. Taylor, Marc A. Kowalkowski, Melanie Spencer, Susan M. Evans, Mary N. Hall, Scott Rissmiller, Rasu B. Shrestha, Andrew D. McWilliams · 2021 · Healthcare
94. Predicting need for hospital-specific interventional care after surgery using electronic health record data
    van de Sande, Davy, van Genderen, Michel E., Verhoef, C., van Bommel, Jasper, Gommers, Diederik, van Unen, Edwin, Huiskens, Joost, Grünhagen, D.J. · 2021 · Surgery
95. Infrastructural Model for the Healthcare System based on Emerging Technologies
    Vukmirović, Aleksandra, Rajnai, Zoltan, Radojicić, Miroslav, Vukmirović, Jovanka, Marina Jovanović-Milenković · 2014 · Acta Polytechnica Hungarica
96. The Current and Potential Clinical Relevance of Heart Failure Biomarkers
    Parul U. Gandhi, Jeffrey Moore Testani, Tariq Ahmad · 2015 · Current Heart Failure Reports
97. DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS
    Jonathan H. Chen, Mary Kane Goldstein, Steven M. Asch, Russ Biagio Altman · 2015 · Pacific Symposium on Biocomputing (PSB)
98. Utilizing Urban Living Laboratories for Social Innovation
    Sandra Naumann, McKenna Davis, Michele‐Lee Moore, Kes McCormick · 2018 · Cambridge University Press eBooks
99. Rethinking Urban Sustainability and Resilience
    Dávid Simon, Corrie A. Griffith, Harini Nagendra · 2018 · Cambridge University Press eBooks
100. Learning: Contemplating the unexamined core of L earning H ealth S ystems
     Jennifer Potts, Randy Thompson, Robert Merchant, Elizabeth L. Ciemins, Roger W. Bush, Ruth A. Anderson, Curt C. Lindberg · 2017 · Learning Health Systems