Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
Performance evaluation of machine learning methods for credit card fraud detection using SMOTE and AdaBoost
The advance in technologies such as e-commerce and financial technology (FinTech)
applications have sparked an increase in the number of online card transactions that occur …
applications have sparked an increase in the number of online card transactions that occur …
Data allocation mechanism for Internet-of-Things systems with blockchain
The use of Internet of Things (IoT) has introduced genuine concerns regarding data security
and its privacy when data are in collection, exchange, and use. Meanwhile, blockchain …
and its privacy when data are in collection, exchange, and use. Meanwhile, blockchain …
Virtual Physical Therapy and Telerehabilitation.
MA Havran, DE Bidelspach - Physical medicine and rehabilitation …, 2021 - europepmc.org
Telerehabilitation is now a mainstay in health care delivery, with recent trends pointed to
continued expansion in the future. Physical therapy (PT) being provided via telehealth, also …
continued expansion in the future. Physical therapy (PT) being provided via telehealth, also …
Predicting acute kidney injury risk in acute myocardial infarction patients: an artificial intelligence model using medical information mart for intensive care databases
D Cai, T Xiao, A Zou, L Mao, B Chi, Y Wang… - Frontiers in …, 2022 - frontiersin.org
Background Predictive models based on machine learning have been widely used in
clinical practice. Patients with acute myocardial infarction (AMI) are prone to the risk of acute …
clinical practice. Patients with acute myocardial infarction (AMI) are prone to the risk of acute …
A comprehensive study on pre-pruning and post-pruning methods of decision tree classification algorithm
FMJM Shamrat, S Chakraborty… - … conference on trends …, 2021 - ieeexplore.ieee.org
The decision tree is the most effective classification method. However, the results of the
decision tree can show errors due to overfitting or if the data is too noisy. This may cause the …
decision tree can show errors due to overfitting or if the data is too noisy. This may cause the …
Mortality prediction in cerebral hemorrhage patients using machine learning algorithms in intensive care units
X Nie, Y Cai, J Liu, X Liu, J Zhao, Z Yang… - Frontiers in …, 2021 - frontiersin.org
Objectives: This study aims to investigate whether the machine learning algorithms could
provide an optimal early mortality prediction method compared with other scoring systems …
provide an optimal early mortality prediction method compared with other scoring systems …
Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method
With the widespread application of digital healthcare, mobile health (mHealth) services are
also developing in maternal and child health, primarily through community-based services …
also developing in maternal and child health, primarily through community-based services …
[HTML][HTML] Artificial intelligence algorithms permits rapid acute kidney injury risk classification of patients with acute myocardial infarction
J Wei, D Cai, T Xiao, Q Chen, W Zhu, Q Gu, Y Wang… - Heliyon, 2024 - cell.com
Objective This study aimed to develop and validate several artificial intelligence (AI) models
to identify acute myocardial infarction (AMI) patients at an increased risk of acute kidney …
to identify acute myocardial infarction (AMI) patients at an increased risk of acute kidney …