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Clara Mosquera-Lopez

Showing results (1-10 of 23) with videos related to

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Journal of Diabetes Science and Technology|September 7, 2021
Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case ExampleClara Mosquera-Lopez, Peter G Jacobs
Trends in Endocrinology and Metabolism: TEM|May 14, 2024
Digital twins and artificial intelligence in metabolic disease researchClara Mosquera-Lopez, Peter G Jacobs
IEEE Reviews in Biomedical Engineering|July 24, 2014
Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based SystemsClara Mosquera-Lopez, Sos Agaian, Alejandro Velez-Hoyos, et al.
IEEE Journal of Biomedical and Health Informatics|April 19, 2019
Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 DiabetesClara Mosquera-Lopez, Robert Dodier, Nichole Tyler, et al.
Computers in Biology and Medicine|February 21, 2023
Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learningClara Mosquera-Lopez, Katrina L Ramsey, Valentina Roquemen-Echeverri, et al.
Multiple Sclerosis and Related Disorders|October 6, 2023
Risky movement: Assessing fall risk in people with multiple sclerosis with wearable sensors and beacon-based smart-home monitoringTaisa Kushner, Clara Mosquera-Lopez, Andrea Hildebrand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
In-Home Sleep Apnea Severity Classification using Contact-free Load Cells and an AdaBoosted Decision Tree AlgorithmClara Mosquera-Lopez, Joseph Leitschuh, John Condon, et al.
Multiple Sclerosis and Related Disorders|September 25, 2021
Comparing fall detection methods in people with multiple sclerosis: A prospective observational cohort studyAndrea Hildebrand, Peter G Jacobs, Jonathon G Folsom, et al.
NPJ Digital Medicine|August 19, 2023
Predicting labor onset relative to the estimated date of delivery using smart ring physiological dataElise N Erickson, Neta Gotlieb, Leonardo M Pereira, et al.
Biosensors|July 25, 2019
Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot StudyClara Mosquera-Lopez, Joseph Leitschuh, John Condon, et al.
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Showing results (1-10 of 23) with videos related to

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Pageof 3
Journal of Diabetes Science and Technology|September 7, 2021
Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case ExampleClara Mosquera-Lopez, Peter G Jacobs
Trends in Endocrinology and Metabolism: TEM|May 14, 2024
Digital twins and artificial intelligence in metabolic disease researchClara Mosquera-Lopez, Peter G Jacobs
IEEE Reviews in Biomedical Engineering|July 24, 2014
Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based SystemsClara Mosquera-Lopez, Sos Agaian, Alejandro Velez-Hoyos, et al.
IEEE Journal of Biomedical and Health Informatics|April 19, 2019
Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 DiabetesClara Mosquera-Lopez, Robert Dodier, Nichole Tyler, et al.
Computers in Biology and Medicine|February 21, 2023
Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learningClara Mosquera-Lopez, Katrina L Ramsey, Valentina Roquemen-Echeverri, et al.
Multiple Sclerosis and Related Disorders|October 6, 2023
Risky movement: Assessing fall risk in people with multiple sclerosis with wearable sensors and beacon-based smart-home monitoringTaisa Kushner, Clara Mosquera-Lopez, Andrea Hildebrand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
In-Home Sleep Apnea Severity Classification using Contact-free Load Cells and an AdaBoosted Decision Tree AlgorithmClara Mosquera-Lopez, Joseph Leitschuh, John Condon, et al.
Multiple Sclerosis and Related Disorders|September 25, 2021
Comparing fall detection methods in people with multiple sclerosis: A prospective observational cohort studyAndrea Hildebrand, Peter G Jacobs, Jonathon G Folsom, et al.
NPJ Digital Medicine|August 19, 2023
Predicting labor onset relative to the estimated date of delivery using smart ring physiological dataElise N Erickson, Neta Gotlieb, Leonardo M Pereira, et al.
Biosensors|July 25, 2019
Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot StudyClara Mosquera-Lopez, Joseph Leitschuh, John Condon, et al.
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