Deep learning and alternative learning strategies for retrospective real-world clinical data
In recent years, there is increasing enthusiasm in the healthcare research community for
artificial intelligence to provide big data analytics and augment decision making. One of the …
artificial intelligence to provide big data analytics and augment decision making. One of the …
A systematic review of the factors affecting the artificial intelligence implementation in the health care sector
SFS Alhashmi, M Alshurideh, B Al Kurdi… - Proceedings of the …, 2020 - Springer
A systematic review for twenty-three research studies published between (2015–2018) was
reviewed and analyzed deeply in order to answer the research question for the critical …
reviewed and analyzed deeply in order to answer the research question for the critical …
Critical success factors for implementing artificial intelligence (AI) projects in Dubai Government United Arab Emirates (UAE) health sector: applying the extended …
SFS Alhashmi, SA Salloum, S Abdallah - International conference on …, 2019 - Springer
Recently, the government of United Arab of Emirates (UAE) is focusing on Artificial
Intelligence (AI) strategy for future projects that will serve various sectors. Health care sector …
Intelligence (AI) strategy for future projects that will serve various sectors. Health care sector …
Symptom based explainable artificial intelligence model for leukemia detection
Leukemia is not only fatal in nature, it is also extremely expensive to treat. However,
leukemia detection at early stage can save lives and money of the affected people, specially …
leukemia detection at early stage can save lives and money of the affected people, specially …
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia
M Shanbehzadeh, MR Afrash, N Mirani… - BMC Medical Informatics …, 2022 - Springer
Introduction Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from
the translocation of chromosomes 19 and 22. CML includes 15–20% of all cases of …
the translocation of chromosomes 19 and 22. CML includes 15–20% of all cases of …
A Learning Model for Acute Myeloid Leukemia Prediction Using Dense Polynomial Dimensionality-Based Predictor.
K Venkatesh, S Pasupathy… - Fusion: Practice & …, 2023 - search.ebscohost.com
Abstract Analysis of microarray data is extremely complex and considered as a hot topic in
recent research. Acute Myeloid Leukemia (AML) prediction based on machine learning …
recent research. Acute Myeloid Leukemia (AML) prediction based on machine learning …
[PDF][PDF] Time-to-Event Prediction: Current Trends in Machine Learning
I Stresec - 2022 - bib.irb.hr
Time-to-event data are data containing a random time variable that measures the time past
from a starting point until the occurrence of an event of interest. The events of interest can be …
from a starting point until the occurrence of an event of interest. The events of interest can be …
[PDF][PDF] A Novel Feature Selection Approach to Classify Breast Cancer Drug using Optimized Grey Wolf Algorithm
Cancer has become a common disease for the past two decades throughout the globe and
there is significant increase of cancer among women. Breast cancer and ovarian cancers …
there is significant increase of cancer among women. Breast cancer and ovarian cancers …