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Journal of the American Medical Informatics Association : JAMIA
|
March 31, 2016
Discharge recommendation based on a novel technique of homeostatic analysis
Jacob S Calvert, Daniel A Price, Christopher W Barton, et al.
BMJ Open Diabetes Research & Care
|
January 20, 2022
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus
Angier Allen, Zohora Iqbal, Abigail Green-Saxena, et al.
Journal of Critical Care
|
August 11, 2020
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)
Sidney Le, Emily Pellegrini, Abigail Green-Saxena, et al.
BMJ Open
|
September 18, 2017
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
Thomas Desautels, Ritankar Das, Jacob Calvert, et al.
Chemical Science
|
May 25, 2026
Generative intelligence explores the chemical space of ten million catalysts
Ruili Li, Shuoqi Zhang, Qingli Tang, et al.
Cureus
|
March 31, 2023
Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment
Anurag Garikipati, Madalina Ciobanu, Navan Preet Singh, et al.
Pulmonary Circulation
|
May 4, 2022
Predicting pulmonary embolism among hospitalized patients with machine learning algorithms
Logan Ryan, Jenish Maharjan, Samson Mataraso, et al.
Leukemia Research
|
June 25, 2021
A machine learning approach to predicting risk of myelodysplastic syndrome
Ashwath Radhachandran, Anurag Garikipati, Zohora Iqbal, et al.
Clinical Imaging
|
August 23, 2021
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays
Jenish Maharjan, Jacob Calvert, Emily Pellegrini, et al.
Physical Chemistry Chemical Physics : PCCP
|
April 4, 2017
Energy landscapes for machine learning
Andrew J Ballard, Ritankar Das, Stefano Martiniani, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 60) with videos related to
Sort By:
Page
of 6
Journal of the American Medical Informatics Association : JAMIA
|
March 31, 2016
Discharge recommendation based on a novel technique of homeostatic analysis
Jacob S Calvert, Daniel A Price, Christopher W Barton, et al.
BMJ Open Diabetes Research & Care
|
January 20, 2022
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus
Angier Allen, Zohora Iqbal, Abigail Green-Saxena, et al.
Journal of Critical Care
|
August 11, 2020
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)
Sidney Le, Emily Pellegrini, Abigail Green-Saxena, et al.
BMJ Open
|
September 18, 2017
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
Thomas Desautels, Ritankar Das, Jacob Calvert, et al.
Chemical Science
|
May 25, 2026
Generative intelligence explores the chemical space of ten million catalysts
Ruili Li, Shuoqi Zhang, Qingli Tang, et al.
Cureus
|
March 31, 2023
Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment
Anurag Garikipati, Madalina Ciobanu, Navan Preet Singh, et al.
Pulmonary Circulation
|
May 4, 2022
Predicting pulmonary embolism among hospitalized patients with machine learning algorithms
Logan Ryan, Jenish Maharjan, Samson Mataraso, et al.
Leukemia Research
|
June 25, 2021
A machine learning approach to predicting risk of myelodysplastic syndrome
Ashwath Radhachandran, Anurag Garikipati, Zohora Iqbal, et al.
Clinical Imaging
|
August 23, 2021
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays
Jenish Maharjan, Jacob Calvert, Emily Pellegrini, et al.
Physical Chemistry Chemical Physics : PCCP
|
April 4, 2017
Energy landscapes for machine learning
Andrew J Ballard, Ritankar Das, Stefano Martiniani, et al.
Page
of 6