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Intelligence-Based Medicine
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June 20, 2022
Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic
Ghadeer O Ghosheh, Bana Alamad, Kai-Wen Yang, et al.
Intelligence-Based Medicine
|
December 22, 2023
Machine learning-based prediction of low-value care for hospitalized patients
Andrew J King, Lu Tang, Billie S Davis, et al.
Intelligence-Based Medicine
|
March 22, 2021
A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions
Louis Ehwerhemuepha, Sidy Danioko, Shiva Verma, et al.
Intelligence-Based Medicine
|
January 10, 2023
Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning
Babak Afshin-Pour, Michael Qiu, Shahrzad Hosseini Vajargah, et al.
Intelligence-Based Medicine
|
August 29, 2022
Machine learning models using mobile game play accurately classify children with autism
Nicholas Deveau, Peter Washington, Emilie Leblanc, et al.
Intelligence-Based Medicine
|
December 24, 2024
Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels
Ye Liang, Ru Wang, Yuchen Wang, et al.
Intelligence-Based Medicine
|
June 28, 2021
A novel data augmentation approach for mask detection using deep transfer learning
Manas Ranjan Prusty, Vaibhav Tripathi, Anmol Dubey
Intelligence-Based Medicine
|
May 31, 2022
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections
Peter Washington, Brianna Chrisman, Emilie Leblanc, et al.
Intelligence-Based Medicine
|
November 16, 2020
Artificial intelligence and COVID-19: Present state and future vision
Anthony C Chang
Intelligence-Based Medicine
|
September 30, 2020
Unsupervised learning for county-level typological classification for COVID-19 research
Yuan Lai, Marie-Laure Charpignon, Daniel K Ebner, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 32) with videos related to
Sort By:
Page
of 4
Intelligence-Based Medicine
|
June 20, 2022
Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic
Ghadeer O Ghosheh, Bana Alamad, Kai-Wen Yang, et al.
Intelligence-Based Medicine
|
December 22, 2023
Machine learning-based prediction of low-value care for hospitalized patients
Andrew J King, Lu Tang, Billie S Davis, et al.
Intelligence-Based Medicine
|
March 22, 2021
A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions
Louis Ehwerhemuepha, Sidy Danioko, Shiva Verma, et al.
Intelligence-Based Medicine
|
January 10, 2023
Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning
Babak Afshin-Pour, Michael Qiu, Shahrzad Hosseini Vajargah, et al.
Intelligence-Based Medicine
|
August 29, 2022
Machine learning models using mobile game play accurately classify children with autism
Nicholas Deveau, Peter Washington, Emilie Leblanc, et al.
Intelligence-Based Medicine
|
December 24, 2024
Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels
Ye Liang, Ru Wang, Yuchen Wang, et al.
Intelligence-Based Medicine
|
June 28, 2021
A novel data augmentation approach for mask detection using deep transfer learning
Manas Ranjan Prusty, Vaibhav Tripathi, Anmol Dubey
Intelligence-Based Medicine
|
May 31, 2022
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections
Peter Washington, Brianna Chrisman, Emilie Leblanc, et al.
Intelligence-Based Medicine
|
November 16, 2020
Artificial intelligence and COVID-19: Present state and future vision
Anthony C Chang
Intelligence-Based Medicine
|
September 30, 2020
Unsupervised learning for county-level typological classification for COVID-19 research
Yuan Lai, Marie-Laure Charpignon, Daniel K Ebner, et al.
Page
of 4