Search Results - "JMIR medical informatics"

Utilization Barriers and Medical Outcomes Commensurate With the Use of Telehealth Among Older Adults: Systematic Review by Kruse, Clemens, Fohn, Joanna, Wilson, Nakia, Nunez Patlan, Evangelina, Zipp, Stephanie, Mileski, Michael

“…Rising telehealth capabilities and improving access to older adults can aid in improving health outcomes and quality of life indicators. Telehealth is not…”
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Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach by Vaid, Akhil, Jaladanki, Suraj K, Xu, Jie, Teng, Shelly, Kumar, Arvind, Lee, Samuel, Somani, Sulaiman, Paranjpe, Ishan, De Freitas, Jessica K, Wanyan, Tingyi, Johnson, Kipp W, Bicak, Mesude, Klang, Eyal, Kwon, Young Joon, Costa, Anthony, Zhao, Shan, Miotto, Riccardo, Charney, Alexander W, Böttinger, Erwin, Fayad, Zahi A, Nadkarni, Girish N, Wang, Fei, Glicksberg, Benjamin S

“…Machine learning models require large datasets that may be siloed across different health care institutions. Machine learning studies that focus on COVID-19…”
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Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach by Desautels, Thomas, Calvert, Jacob, Hoffman, Jana, Jay, Melissa, Kerem, Yaniv, Shieh, Lisa, Shimabukuro, David, Chettipally, Uli, Feldman, Mitchell D, Barton, Chris, Wales, David J, Das, Ritankar

“…Sepsis is one of the leading causes of mortality in hospitalized patients. Despite this fact, a reliable means of predicting sepsis onset remains elusive…”
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Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation by Kim, Miran, Song, Yongsoo, Wang, Shuang, Xia, Yuhou, Jiang, Xiaoqian

“…Learning a model without accessing raw data has been an intriguing idea to security and machine learning researchers for years. In an ideal setting, we want to…”
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Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review by Syeda, Hafsa Bareen, Syed, Mahanazuddin, Sexton, Kevin Wayne, Syed, Shorabuddin, Begum, Salma, Syed, Farhanuddin, Prior, Fred, Yu, Jr, Feliciano

“…SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused havoc worldwide, with patients presenting a spectrum of complications that have pushed…”
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Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review by Choudhury, Avishek, Asan, Onur

“…Artificial intelligence (AI) provides opportunities to identify the health risks of patients and thus influence patient safety outcomes. The purpose of this…”
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Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study by Sendak, Mark P, Ratliff, William, Sarro, Dina, Alderton, Elizabeth, Futoma, Joseph, Gao, Michael, Nichols, Marshall, Revoir, Mike, Yashar, Faraz, Miller, Corinne, Kester, Kelly, Sandhu, Sahil, Corey, Kristin, Brajer, Nathan, Tan, Christelle, Lin, Anthony, Brown, Tres, Engelbosch, Susan, Anstrom, Kevin, Elish, Madeleine Clare, Heller, Katherine, Donohoe, Rebecca, Theiling, Jason, Poon, Eric, Balu, Suresh, Bedoya, Armando, O'Brien, Cara

“…Background Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized…”
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The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic by Ye, Jiancheng

“…At present, the coronavirus disease (COVID-19) is spreading around the world. It is a critical and important task to take thorough efforts to prevent and…”
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Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis by Khairat, Saif, Marc, David, Crosby, William, Al Sanousi, Ali

“…Clinical decision support systems (CDSSs) are an integral component of today's health information technologies. They assist with interpretation, diagnosis, and…”
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Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis by Lee, Junghye, Sun, Jimeng, Wang, Fei, Wang, Shuang, Jun, Chi-Hyuck, Jiang, Xiaoqian

“…There is an urgent need for the development of global analytic frameworks that can perform analyses in a privacy-preserving federated environment across…”
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Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model by Sezgin, Emre, Sirrianni, Joseph, Linwood, Simon L

“…Generative pretrained transformer models have been popular recently due to their enhanced capabilities and performance. In contrast to many existing artificial…”
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The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities by Ayaz, Muhammad, Pasha, Muhammad F, Alzahrani, Mohammed Y, Budiarto, Rahmat, Stiawan, Deris

“…Background Information technology has shifted paper-based documentation in the health care sector into a digital form, in which patient information is…”
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Challenges and Opportunities of Big Data in Health Care: A Systematic Review by Kruse, Clemens Scott, Goswamy, Rishi, Raval, Yesha, Marawi, Sarah

“…Big data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly…”
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AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records by Xie, Feng, Chakraborty, Bibhas, Ong, Marcus Eng Hock, Goldstein, Benjamin Alan, Liu, Nan

“…Risk scores can be useful in clinical risk stratification and accurate allocations of medical resources, helping health providers improve patient care…”
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Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing by Rankin, Debbie, Black, Michaela, Bond, Raymond, Wallace, Jonathan, Mulvenna, Maurice, Epelde, Gorka

“…The exploitation of synthetic data in health care is at an early stage. Synthetic data could unlock the potential within health care datasets that are too…”
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Blockchain-Based Digital Contact Tracing Apps for COVID-19 Pandemic Management: Issues, Challenges, Solutions, and Future Directions by Idrees, Sheikh Mohammad, Nowostawski, Mariusz, Jameel, Roshan

“…The COVID-19 pandemic has caused substantial global disturbance by affecting more than 42 million people (as of the end of October 2020). Since there is no…”
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Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China by Ye, Qing, Zhou, Jin, Wu, Hong

“…The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control…”
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Sentiment Analysis in Health and Well-Being: Systematic Review by Zunic, Anastazia, Corcoran, Padraig, Spasic, Irena

“…Sentiment analysis (SA) is a subfield of natural language processing whose aim is to automatically classify the sentiment expressed in a free text. It has…”
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Applying Blockchain Technology to Address the Crisis of Trust During the COVID-19 Pandemic by Khurshid, Anjum

“…The widespread death and disruption caused by the COVID-19 pandemic has revealed deficiencies of existing institutions regarding the protection of human health…”
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Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review by Vorisek, Carina Nina, Lehne, Moritz, Klopfenstein, Sophie Anne Ines, Mayer, Paula Josephine, Bartschke, Alexander, Haese, Thomas, Thun, Sylvia

“…Background The standard Fast Healthcare Interoperability Resources (FHIR) is widely used in health information technology. However, its use as a standard for…”
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