Introduction And Objective: We present a diagnostic decision tree for the correct use of neuropsychological evaluation techniques in head injury. Our aim is to avoid extensive, intensive use of unnecessary tests and measurements or lapses into diagnostic error which often accompany cognitive dysfunction when 'superficial' 'undirected' studies are done.
Development: It is essential to select the neuropsychological, neuroconductal and psychosocial evaluation tests which are most suitable in each case and establish a reliable diagnosis of the functional, cognitive, emotional and psychosocial conditions of the patient. The decision tree for neuropsychological evaluation is a guide to assist professionals so that they may adequately examine the functional changes which can occur as a consequence of traumatic brain damage, adapted to each point in its evolution and taking into account factors which may influence neuropsychological evaluation.
Conclusion: The evaluation of consequences of trauma includes evaluation of the gravity of the head injury, and the neuropsychological, neuroconductal and functional evaluation of the patient.
Download full-text PDF |
Source |
---|
Nat Commun
January 2025
Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA.
Recent barcoding technologies allow reconstructing lineage trees while capturing paired single-cell RNA-sequencing (scRNA-seq) data. Such datasets provide opportunities to compare gene expression memory maintenance through lineage branching and pinpoint critical genes in these processes. Here we develop Permutation, Optimization, and Representation learning based single Cell gene Expression and Lineage ANalysis (PORCELAN) to identify lineage-informative genes or subtrees where lineage and expression are tightly coupled.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Background: HIV testing is the cornerstone of HIV prevention and a pivotal step in realizing the Joint United Nations Program on HIV/AIDS (UNAIDS) goal of ending AIDS by 2030. Despite the availability of relevant survey data, there exists a research gap in using machine learning (ML) to analyze and predict HIV testing among adults in South Africa. Further investigation is needed to bridge this knowledge gap and inform evidence-based interventions to improve HIV testing.
View Article and Find Full Text PDFJ Antimicrob Chemother
January 2025
Pharmacy Department, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Background: AUC-based dosing with validated Bayesian software is recommended as a good approach to guide bedside vancomycin dosing.
Objectives: To compare treatment and vancomycin-associated acute kidney injury (AKI) costs between Bayesian AUC-based dosing and conventional therapeutic drug monitoring (TDM) using steady-state plasma concentrations of vancomycin administered as continuous infusion in hospitalized non-critically ill patients with severe Gram-positive infection.
Methods: A cost-benefit analysis presented as a return on investment (ROI) analysis from a hospital perspective was conducted using a decision tree model (TDM versus AUC-based dosing) to simulate treatment cost (personnel, serum sampling and drug cost), vancomycin-associated AKI risk and cost up to 14 days.
J Comput Chem
January 2025
Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil.
While established guidelines exist for chirality in tetrahedral molecules, there is a notable absence of clear rules for recognizing metal-centered chirality in higher-coordination complexes. We develop decision trees to assess the likelihood of chirality-at-metal in coordination complexes with coordination numbers 4-9 with mono and bidentate ligands. Using binary decision rules based on shape, ligand type, and quantity, the trees classify complexes as chiral or achiral.
View Article and Find Full Text PDFHeliyon
January 2025
Electrical and Information Engineering Department, Covenant University, P.M.B 1023, Ota, 112212, Ogun State, Nigeria.
Unplanned downtime in industrial sectors presents significant challenges, impacting both production efficiency and profitability. To tackle this issue, companies are actively working towards optimizing their operations and reducing disruptions that hinder their ability to meet customer demands and financial goals. Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!