Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 211 to 220 of 6,548 articles

Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining.

Scientific reports
Exploring students' cognitive abilities has long been an important topic in education. This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors influ... read more 

Perceived social support in the daily life of people with Parkinson's disease: a distinct role and potential classifier.

Scientific reports
Motor outcomes in Parkinson's disease (PD) have long been the primary diagnostic criteria and treatment targets. While non-motor outcomes of PD impact daily well-being, they are rarely targeted by interventions or utilized for classification. Despite... read more 

Equivariant learning leveraging geometric invariances in 3D molecular conformers for accurate prediction of quantum chemical properties.

Scientific reports
Deciphering the intricate interplay between the three-dimensional geometrical conformation of molecules and their thermodynamic properties is a central quest in molecular chemistry, with far-reaching implications spanning diverse domains from molecul... read more 

Efficient bit labeling in factorization machines with annealing for traveling salesman problem.

Scientific reports
To efficiently determine an optimum parameter combination in a large-scale problem, it is essential to convert the parameters into available variables in actual machines. Specifically, quadratic unconstrained binary optimization problems are solved u... read more 

Prediction of the monthly river water level by using ensemble decomposition modeling.

Scientific reports
The decomposition, artificial intelligence (AI) and machine learning (ML) modeling have been important role in hydrological and river basin related prediction and forecasting to help the flood management and sustainable water resources development. I... read more 

A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study.

Scientific reports
This study aims to identify depressive risks in elderly individuals with subjective cognitive decline (SCD) and develop a predictive model using machine learning algorithms to enable timely interventions.Data from the 2015 and 2018 waves of the China... read more 

Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions.

Scientific reports
Education is crucial for the growth of effective life skills and the allocation of needed resources. Higher education institutions are adopting advanced technologies, such as artificial intelligence (AI), to enhance traditional teaching methods. Pred... read more 

Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models.

Scientific reports
Potato as a staple food, plays a crucial role in ensuring a sustainable food supply and mitigating poverty and malnutrition in various regions across the globe. India, specifically holding the second position in global potato production, plays a sign... read more 

Predicting mortality risk in Alzheimer's disease using machine learning based on lifestyle and physical activity.

Scientific reports
Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient survival, prompting the need for accurate prognostic tools. Lifestyle factors and physical activity levels have been identified as critical modifiable r... read more 

Transfer learning with XAI for robust malware and IoT network security.

Scientific reports
Malware that exploits user privacy has increased in recent decades, and this trend has been linked to shifting international regulations, the expansion of Internet services, and the growth of electronic commerce. Furthermore, it is very challenging t... read more