Results 161 to 170 of about 538,598 (303)

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

Advanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal, Amalesh Gope, Miho Yanagisawa   +2 more
wiley   +1 more source

Assessing the impact of disabilities on healthcare access among Sudanese refugees in Egypt during the 2023 crisis: a discriminant analysis approach. [PDF]

Front Med (Lausanne)
Semary HE, Abdel-Rahman S, Al-Karawi KA, Abdelwahab MM, Dossouvi KM, Elkelish A, El Shabrawy A.   +6 more
europepmc   +1 more source

Source apportionment of PM2.5 inside two diesel school buses using partial least squares discriminant analysis with chemical mass balance

, 2011
Timothy V. Larson, Barbara Zielińska, Rob Ireson, L.J. Sally Liu   +3 more
openalex   +1 more source

Optimal variable selection in multi-group sparse discriminant analysis [PDF]

, 2015
Irina Gaynanova, Mladen Kolar
openalex   +1 more source

Data from Discriminant Analysis of ¹⁸F-Fluorothymidine Kinetic Parameters to Predict Survival in Patients with Recurrent High-Grade Glioma

, 2023
Mirwais Wardak, Christiaan Schiepers, Magnus Dahlbom, Timothy F. Cloughesy, Wei Chen, Nagichettiar Satyamurthy, Johannes Czernin, Michael E. Phelps, Sung‐Cheng Huang   +8 more
openalex   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Recognition of EEG Features in Autism Disorder Using SWT and Fisher Linear Discriminant Analysis. [PDF]

Diagnostics (Basel)
Fahmi F, Melinda M, Purnamasari PD, Elizar E, Rafiki A.   +4 more
europepmc   +1 more source

A Syllable-Based Prominence Detection Model Based on Discriminant Analysis and Context-Dependency

, 2009
Nicolas Obin, Xavier Rodet, Anne Lacheret-Dujour   +2 more
openalex   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Occupational performance characteristics in patients with attention-deficit/hyperactivity disorder comorbid with major depressive disorders: Discriminant analysis with major depressive disorders. [PDF]

PCN Rep
Hayasaka T, Nagashima I, Hoshino M, Teruya K, Matumoto Y, Murao M, Maruki T, Watanabe M, Katagiri T, Imamura Y, Kurihara M, Oe Y, Takaesu Y, Tsuboi T, Watanabe K, Sakurai H.   +15 more
europepmc   +1 more source