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101. Epilepsy | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/epilepsy
     January 01, 2023 - Epilepsy Automated, machine learning-based alerts increase epilepsy … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled … Clinicians About Epilepsy Surgery Patients Prospective validation of a machine learning … Prospective validation of a machine learning model that uses provider notes to identify candidates for … Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

102. Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review. | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/ahrq-funded-projects/perception-and-use-patient-care-window-improve-care-and-family-engagement/citation/use
     January 01, 2020 - Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review … Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review

103. Thompson, Hale M. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/thompson-hale-m
     January 01, 2023 - A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Project Name A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment … and Prevention Among Hospitalized Patients A Machine Learning Health System … Hospitalized Patients Description This research will develop, train, test, and evaluate a machine learning

104. Held, Philip | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/held-philip
     January 01, 2023 - Held, Philip A Machine Learning Health System to Integrate Care for … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Project Name A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment … and Prevention Among Hospitalized Patients A Machine Learning Health System … Hospitalized Patients Description This research will develop, train, test, and evaluate a machine learning

105. Electronic Health Record/Electronic Medical Record | Digital Healthcare Research
     digital.ahrq.gov/technology/electronic-health-recordelectronic-medical-record
     January 01, 2025 - Shared Decision Making with Patients with Osteoarthritis of the Knee A Machine Learning … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Project Name A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health … Patient care in complex Sociotechnological ecosystems and learning health systems.

106. Fiks, Alexander | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/fiks-alexander
     January 01, 2023 - Alexander National Center for Pediatric Practice Based Research and Learning … National Center for Pediatric Practice Based Research and Learning - Final Report. … Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning … Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning … Fiks, Alexander Project Name National Center for Pediatric Practice-Based Research and Learning

107. American Academy of Pediatrics | Digital Healthcare Research
     digital.ahrq.gov/organization/american-academy-pediatrics
     January 01, 2023 - Pediatrics National Center for Pediatric Practice Based Research and Learning … Wasserman, Richard Project Name National Center for Pediatric Practice-Based Research and Learning … National Center for Pediatric Practice-Based Research and Learning Description … This project established the Center for Pediatric Practice-Based Research and Learning to develop

108. Devine, Emily B. | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/devine-emily-b
     January 01, 2023 - Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Customizing Value-Based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning

109. An Electronic Health Record-Based Screening Tool to Support Safe Discharges of COVID-19 Patients in the Emergency Department | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/ehr-based-screening-tool-support-safe-discharges-covid-19-patients-emergency-department
     September 29, 2023 - potential to improve morbidity and mortality from COVID-19 infection by identifying, through machine learning … /2023 Technology Artificial Intelligence Clinical Decision Support System Machine Learning … The CERST was developed using natural language processing (NLP), machine learning (ML) algorithms, and … Semi-Structured Interview Technology: Artificial Intelligence , Clinical Decision Support System , Machine Learning

110. Developing a Passive Digital Marker for the Prediction of Childhood Asthma Treatment Response | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-passive-digital-marker-prediction-childhood-asthma-treatment
     January 01, 2023 - Treatment Response Project Description Applying novel machine learning … Bloomington Indiana Project Dates 08/01/2022 - 07/31/2025 Technology Machine Learning … This research is predicated on the notion that applying novel machine learning (ML) methodologies to

111. Administrator | Digital Healthcare Research
     digital.ahrq.gov/population/administrator
     January 01, 2023 - Health System Initiative: Early experience developing a collaborative, regional learning health system … The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional … learning health system. … A learning health system approach to integrating electronic patient-reported outcomes across the health … Learning Health System.

112. Artificial Intelligence | Digital Healthcare Research
     digital.ahrq.gov/technology/artificial-intelligence
     January 01, 2024 - Artificial Intelligence A Machine Learning Health System to Integrate … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Project Name A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment … Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes … Principal Investigator Sikora, Andrea Project Name Machine Learning Validation of Medication

113. C-Suite Officer | Digital Healthcare Research
     digital.ahrq.gov/population/c-suite-officer
     January 01, 2023 - Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final … Patient-Centered Outcomes Research Clinical Decision Support Learning Network - Final Report. … Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network … A qualitative study of interprofessional learning related to electronic health record

114. AHRQ National Web Conference on Applying Advanced Analytics in Clinical Care - Q&As (pdf file)
     digital.ahrq.gov/sites/default/files/docs/clinical-care-qas-10142020.pdf
     October 14, 2020 - Are you talking about a transfer learning scenario? … Deep-learning model for predicting 30-day postoperative mortality. … Are you talking about a transfer learning scenario? … Learning by James, Witten, Hastie, an... … Deep-learning model for predicting 30-day postoperative mortality.

115. Sherwin, Robert | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/sherwin-robert
     January 01, 2023 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning … Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report … Project Name Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning … Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning

116. mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study. | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging/citation/mhealth
     January 01, 2020 - mHealth app using machine learning to increase physical activity in diabetes and depression: clinical … Chakraborty B, Yan X, Xu J, Modiri A, Aggarwal J, Jay Williams J, Lyles CR. mHealth app using machine learning

117. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enabling-large-scale-research-autism-spectrum-disorders-through-automated
     January 01, 2023 - Project Dates 09/01/2017 - 08/31/2020 Technology Artificial Intelligence Machine Learning … In addition, machine learning (ML) algorithms were used to label a child’s clinical record as either … : Report Research Method: Algorithm , Case Study Technology: Artificial Intelligence , Machine Learning … Natural language processing and other machine learning techniques convert unstructured text into structured … In addition, machine learning algorithms were used to label a child’s clinical record as either ASD or

118. Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis
     January 01, 2023 - Project Dates 08/01/2011 - 05/31/2014 Technology Artificial Intelligence Machine Learning … system to improve reviewers’ diagnostic performance  This project developed innovative machine learning-based … On average, the machine-learning algorithms outperformed other approaches in the literature. … Classification of diabetic retinopathy images using multi-class multiple-instance learning based … Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color

119. Schleyer, Titus | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/schleyer-titus
     January 01, 2023 - Schleyer, Titus The Indiana Learning Health System Initiative: Early … experience developing a collaborative, regional learning health system. … The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional … learning health system.

120. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report.pdf
     August 30, 2019 - Machine learning classifiers were developed to predict all patient-related cancellations and the most … By learning from a set of training data, machine learning algorithms construct a predictive model to … The balanced data were then used to train the machine learning algorithms. … Performance of different machine learning classifiers for the Burnet campus dataset. … Performance of different machine learning classifiers for the Liberty campus dataset.