AIMC Topic: Machine Learning

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Reconfiguration of functional brain hierarchy in schizophrenia.

Translational psychiatry
The multidimensional nature of schizophrenia requires a comprehensive exploration of the functional and structural brain networks. While prior research has provided valuable insights into these aspects, our study goes a step further to investigate th...

Applications of machine learning in deep brain stimulation for major depressive disorder: a systematic review and meta-analysis.

Neurosurgical review
Depression is a significant public health issue, consistently ranking among the leading causes of mortality, reduced quality of life, and economic burden. Despite available treatments, approximately one-third of patients exhibit resistance to standar...

Machine learning-based criminal behavior analysis for enhanced digital forensics.

PloS one
In an increasingly digital world, uncovering criminal activity often relies on analyzing vast amounts of online behavior. Traditional methods in digital forensics struggle to keep up with the complexity and volume of data, particularly when trying to...

Exploration common biomarkers and pathogenesis of primary Sjögren's syndrome and interstitial lung disease by machine learning and weighted gene co-expression networks.

PloS one
BACKGROUND: Primary Sjögren's syndrome (pSS) is an autoimmune and inflammatory disorder that may affect the lungs, leading to interstitial lung disease (ILD). However, the diagnosis of progression from pSS to ILD is frequently delayed due to unstanda...

Machine learning guided process optimization and sustainable valorization of coconut biochar filled PLA biocomposites.

Scientific reports
This study focuses on the valorization of coconut shell biochar (CCB) as a sustainable reinforcement in polylactic acid (PLA) biocomposites, targeting enhanced mechanical performance. PLA/CCB composites were fabricated by varying injection molding pa...

Machine learning real-time control of continuous granulation process.

International journal of pharmaceutics
The transition from traditional batch to continuous pharmaceutical manufacturing puts additional demands on the efficient process development and operation. The comprehensive understanding of complex interdependencies between critical process paramet...

Predicting six-month mortality in adult hemophagocytic lymphohistiocytosis with machine learning: a prognostic approach utilizing laboratory data.

Annals of medicine
BACKGROUND: Hemophagocytic lymphohistiocytosis (HLH) is associated with high mortality rates. This study was conducted to develop and validate a predictive model for adult HLH patients at high risk of six months mortality using machine learning (ML) ...

Segmentation for Learning Adsorption Patterns and Residence-Time Kinetics on Amorphous Surfaces.

Journal of chemical information and modeling
Heterogeneous surfaces such as amorphous silica are characterized by highly heterogeneous local atomic environments that govern the adsorption of gas molecules through spatial arrangements. These surfaces exhibit properties that are particularly rele...

Self-Powered Wireless Piezoelectric Sensor Based on Polyamide Elastomer/BaTiO for Machine Learning-Assisted Human Motion Monitoring.

ACS applied materials & interfaces
In the field of self-powered sensing, the need for wearing comfort and flexibility of the material is increasing. Although piezoelectric ceramics have excellent piezoelectric properties, their poor flexibility limits their application range. In the q...