Search Results - "Brakenhoff, Timo B."

Random measurement error: Why worry? An example of cardiovascular risk factors by Brakenhoff, Timo B, van Smeden, Maarten, Visseren, Frank L J, Groenwold, Rolf H H

“…With the increased use of data not originally recorded for research, such as routine care data (or 'big data'), measurement error is bound to become an…”
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Sex-specific differences in physiological parameters related to SARS-CoV-2 infections among a national cohort (COVI-GAPP study) by Grossmann, Kirsten, Risch, Martin, Markovic, Andjela, Aeschbacher, Stefanie, Weideli, Ornella C, Velez, Laura, Kovac, Marc, Pereira, Fiona, Wohlwend, Nadia, Risch, Corina, Hillmann, Dorothea, Lung, Thomas, Renz, Harald, Twerenbold, Raphael, Rothenbühler, Martina, Leibovitz, Daniel, Kovacevic, Vladimir, Klaver, Paul, Brakenhoff, Timo B, Franks, Billy, Mitratza, Marianna, Downward, George S, Dowling, Ariel, Montes, Santiago, Veen, Duco, Grobbee, Diederick E, Cronin, Maureen, Conen, David, Goodale, Brianna M, Risch, Lorenz

“…Considering sex as a biological variable in modern digital health solutions, we investigated sex-specific differences in the trajectory of four physiological…”
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A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial by Brakenhoff, Timo B, Franks, Billy, Goodale, Brianna Mae, van de Wijgert, Janneke, Montes, Santiago, Veen, Duco, Fredslund, Eskild K, Rispens, Theo, Risch, Lorenz, Dowling, Ariel V, Folarin, Amos A, Bruijning, Patricia, Dobson, Richard, Heikamp, Tessa, Klaver, Paul, Cronin, Maureen, Grobbee, Diederick E

“…It is currently thought that most-but not all-individuals infected with SARS-CoV-2 develop symptoms, but that the infectious period starts on average two days…”
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Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber Ultrasounds by Cheng, Li‐Hsin, Bosch, Pablo B. J., Hofman, Rutger F. H., Brakenhoff, Timo B., Bruggemans, Eline F., van der Geest, Rob J., Holman, Eduard R.

“…Background With the increase of highly portable, wireless, and low‐cost ultrasound devices and automatic ultrasound acquisition techniques, an automated…”
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A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the Remote Early Detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial by Brakenhoff, Timo B, Franks, Billy, Goodale, Brianna Mae, van de Wijgert, Janneke, Montes, Santiago, Veen, Duco, Fredslund, Eskild K, Rispens, Theo, Risch, Lorenz, Dowling, Ariel V, Folarin, Amos A, Bruijning, Patricia, Dobson, Richard, Heikamp, Tessa, Klaver, Paul, Cronin, Maureen, Grobbee, Diederick E

“…It is currently thought that most-but not all-individuals infected with SARS-CoV-2 develop symptoms, but the infectious period starts on average 2 days before…”
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Outlier classification performance of risk adjustment methods when profiling multiple providers by Brakenhoff, Timo B, Roes, Kit C B, Moons, Karel G M, Groenwold, Rolf H H

“…When profiling multiple health care providers, adjustment for case-mix is essential to accurately classify the quality of providers. Unfortunately,…”
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Measurement error is often neglected in medical literature: a systematic review by Brakenhoff, Timo B., Mitroiu, Marian, Keogh, Ruth H., Moons, Karel G.M., Groenwold, Rolf H.H., van Smeden, Maarten

“…In medical research, covariates (e.g., exposure and confounder variables) are often measured with error. While it is well accepted that this introduces bias…”
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Investigating Risk Adjustment Methods for Health Care Provider Profiling When Observations are Scarce or Events Rare by Brakenhoff, Timo B, Moons, Karel GM, Kluin, Jolanda, Groenwold, Rolf HH

“…Background: When profiling health care providers, adjustment for case-mix is essential. However, conventional risk adjustment methods may perform poorly,…”
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Physiological Response to the COVID-19 Vaccine: Insights From a Prospective, Randomized, Single-Blinded, Crossover Trial by Markovic, Andjela, Kovacevic, Vladimir, Brakenhoff, Timo B, Veen, Duco, Klaver, Paul, Mitratza, Marianna, Downward, George S, Grobbee, Diederick E, Cronin, Maureen, Goodale, Brianna M

“…Rapid development and implementation of vaccines constituted a crucial step in containing the COVID-19 pandemic. A comprehensive understanding of physiological…”
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The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review by Mitratza, Marianna, Goodale, Brianna Mae, Shagadatova, Aizhan, Kovacevic, Vladimir, van de Wijgert, Janneke, Brakenhoff, Timo B, Dobson, Richard, Franks, Billy, Veen, Duco, Folarin, Amos A, Stolk, Pieter, Grobbee, Diederick E, Cronin, Maureen, Downward, George S

“…Containing the COVID-19 pandemic requires rapidly identifying infected individuals. Subtle changes in physiological parameters (such as heart rate, respiratory…”
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Adjusting for Disease Severity Across ICUs in Multicenter Studies by Brakenhoff, Timo B., Plantinga, Nienke L., Wittekamp, Bastiaan H. J., Cremer, Olaf, de Lange, Dylan W., de Keizer, Nicolet F., Bakhshi-Raiez, Ferishta, Groenwold, Rolf H. H., Peelen, Linda M.

“…OBJECTIVES:To compare methods to adjust for confounding by disease severity during multicenter intervention studies in ICU, when different disease severity…”
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Menstrual Cycle Influence on COVID-19 Detection Using Machine Learning and a Wearable Medical Device [A120] by Kovacevic, Vladimir, Markovic, Andjela, Veen, Duco, Brakenhoff, Timo B., Mitratza, Marianna, Goodale, Brianna M.

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Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective cohort study (COVI-GAPP) by Risch, Martin, Grossmann, Kirsten, Aeschbacher, Stefanie, Weideli, Ornella C, Kovac, Marc, Pereira, Fiona, Wohlwend, Nadia, Risch, Corina, Hillmann, Dorothea, Lung, Thomas, Renz, Harald, Twerenbold, Raphael, Rothenbühler, Martina, Leibovitz, Daniel, Kovacevic, Vladimir, Markovic, Andjela, Klaver, Paul, Brakenhoff, Timo B, Franks, Billy, Mitratza, Marianna, Downward, George S, Dowling, Ariel, Montes, Santiago, Grobbee, Diederick E, Cronin, Maureen, Conen, David, Goodale, Brianna M, Risch, Lorenz, Cronin, Maureen, Goodale, Brianna, Kovacevic, Vladimir, Grossmann, Kirsten, Risch, Lorenz, Risch, Martin, Weideli, Ornella, Conen, David, Stokman, Regien, Franks, Billy, Dijk, Hans Van, Klaver, Paul, Houtman, Eric, Bouwman, Jon, Hage, Kay, Smets, Lotte, Willigen, Marcel van, Chodura, Maui, Vink, Niki de, Heikamp, Tessa, Brakenhoff, Timo, Leurink, Titia, Scherpenzeel, Wendy van, Aarts, Wout, Montes, Santiago, Kuchta, Alison, Simon, Christian, Rispens, Theo, Chiucchiuini, Antonella, Dowling, Ariel, Emby, Steve, Douwes, Annemarijn, Downward, George, Vigot, Nathalie, Stolk, Pieter, Grobbee, Diederick, Veen, Duco, Reitsma, Hans, Wijgert, Janneke, Mitratza, Marianna, Bruijning, Patricia, Hehakaya, Charisma, Oberski, Daniel, Folarin, Amos, Dobson, Richard, Denaxas, Spiros, Medina, Pablo Fernandez, Fredslund, Eskild, Kjellberg, Jakob

“…ObjectivesWe investigated machinelearningbased identification of presymptomatic COVID-19 and detection of infection-related changes in physiology using a…”
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Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds by Cheng, Li-Hsin, Bosch, Pablo B. J, Hofman, Rutger F. H, Brakenhoff, Timo B, Bruggemans, Eline F, van der Geest, Rob J, Holman, Eduard R

“…Background. With the rise of highly portable, wireless, and low-cost ultrasound devices and automatic ultrasound acquisition techniques, an automated…”
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