Browsing College of Health Sciences by Subject "Machine learning"
Now showing items 1-5 of 5
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Machine Learning Application for Optimizing Asymmetrical Reduction of Acetophenone Employing Complete Cell of Lactobacillus Senmaizuke as an Environmentally Friendly Approach
( Hysen MANKOLLI, Earth System Science Interdisciplinary Center (ESSIC) , 2020 , Article)Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An ... -
MACHINE LEARNING APPLICATION FOR OPTIMIZING ASYMMETRICAL REDUCTION OF ACETOPHENONE EMPLOYING COMPLETE CELL OF LACTOBACILLUS SENMAIZUKE AS AN ENVIRONMENTALLY FRIENDLY APPROACH
( Prof. Hysen Mankolli, IJEES Electronic Journal Publication , 2020 , Article)Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An ... -
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
( Springer Nature , 2023 , Article)Background: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has ... -
Using artificial intelligence to improve body iron quantification: A scoping review
( Elsevier , 2023 , Article Review)This scoping review explores the potential of artificial intelligence (AI) in enhancing the screening, diagnosis, and monitoring of disorders related to body iron levels. A systematic search was performed to identify studies ... -
Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke
( BioMed Central Ltd , 2024 , Article)Background: Posterior Circulation Syndrome (PCS) presents a diagnostic challenge characterized by its variable and nonspecific symptoms. Timely and accurate diagnosis is crucial for improving patient outcomes. This study ...
