Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Aurangzeb Ahmad"'
Publikováno v:
Proceedings, Vol 38, Iss 3 (2024)
Introduction: Emergency general surgery patients are at higher risk of postoperative complications and mortality compared to elective surgery patients. The American Society of Anaesthesiologists’ (ASA) classification system is a tool for assessing
Externí odkaz:
https://doaj.org/article/6d5f35f18dc94301a70ea172454cc9ae
Publikováno v:
Surgical Clinics of North America.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2259dc5ce2d21056b92931a456e13764
https://doi.org/10.1016/j.suc.2023.03.002
https://doi.org/10.1016/j.suc.2023.03.002
Publikováno v:
Annals of Surgery Open, Vol 2, Iss 3, p e091 (2021)
Machine learning (ML) represents a collection of advanced data modeling techniques beyond the traditional statistical models and tests with which most clinicians are familiar. While a subset of artificial intelligence, ML is far from the science fict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46873a06ae732959bd16739088e39582
http://journals.lww.com/10.1097/AS9.0000000000000091
http://journals.lww.com/10.1097/AS9.0000000000000091
Autor:
Steve Overman, Muhammad Aurangzeb Ahmad, Christine Allen, Vikas Kumar, Carly Eckert, Ankur Teredesai
Publikováno v:
KDD
With the increased adoption of AI in healthcare, there is a growing recognition and demand to regulate AI in healthcare to avoid potential harm and unfair bias against vulnerable populations. Around a hundred governmental bodies and commissions as we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d366ab3018085306b05e5ef67e273b82
https://doi.org/10.1145/3447548.3470823
https://doi.org/10.1145/3447548.3470823
Publikováno v:
ICHI
Datasets from Electronic Health Records (EHRs) are increasingly large and complex, creating challenges in their use for predictive modeling. The two major challenges are large-scale and high-dimensionality. One of the common way to address the large-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::281eb987af59c7578a158595978b2936
https://doi.org/10.1109/ichi52183.2021.00034
https://doi.org/10.1109/ichi52183.2021.00034
Autor:
Carly Eckert, Juhua Hu, Ankur Teredesai, Christine Allen, Vikas Kumar, Muhammad Aurangzeb Ahmad
Publikováno v:
ICHI
The issue of bias and fairness in healthcare has been around for centuries. With the integration of AI in healthcare the potential to discriminate and perpetuate unfair and biased practices in healthcare increases many folds. The tutorial focuses on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2afe5166507f10efcf4e6ba316786a29
https://doi.org/10.1109/ichi52183.2021.00104
https://doi.org/10.1109/ichi52183.2021.00104
Autor:
Pollack M.D. Murray, Ankur Teredesai, Eduardo Antonio Trujillo Rivera, Patel M.D. Anita, Eckert M.D. Carly, Muhammad Aurangzeb Ahmad
Publikováno v:
ICHI
We consider the problem of characterizing and predicting the condition of pediatric patients in intensive care units (ICUs). This population is often typified by rapid changes in patient conditions which necessitate predictions that can capture trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46189f2c4cd4a388fedde587725e66d1
https://doi.org/10.1109/ichi52183.2021.00068
https://doi.org/10.1109/ichi52183.2021.00068
Autor:
Jing Xie, Barrett J. Larson, Steve Overman, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai, Alan Rossington, Ankur Patel
Publikováno v:
ICHI
Pressure Injuries are localized damages to the skin caused by sustained pressure. It is a common yet preventable disease affecting millions of patients. While there are multiple scales to determine if a patient has pressure injury, these methods suff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18e10bf58e1abe33a84301a955c1efd9
https://doi.org/10.1109/ichi52183.2021.00069
https://doi.org/10.1109/ichi52183.2021.00069
Autor:
Elena Spieker, Tom Louwers, Anam Zahid, Keith Solveson, Ankur Teredesai, Robert C. Marshall, Neris Nieves-Robbins, David Hazel, Carly Eckert, T. Greg McKelvey, Eric A. Shry, Richard Barnhill, Muhammad Aurangzeb Ahmad, James Marquardt
Publikováno v:
Applied Clinical Informatics. 10:316-325
Background Thirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have been develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4859a982e70cb17055a9826bd586b53
https://doi.org/10.1055/s-0039-1688553
https://doi.org/10.1055/s-0039-1688553
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030649487
This chapter surveys and analyses visual methods of explainability of Machine Learning (ML) approaches with focus on moving from quasi-explanations that dominate in ML to actual domain-specific explanation supported by granular visuals. The importanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5802564a8d83e9ecafdbb70264a44129
https://doi.org/10.1007/978-3-030-64949-4_8
https://doi.org/10.1007/978-3-030-64949-4_8
