AIMC Topic: Young Adult
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Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors.
Frontiers in public health
Nov 21, 2024
BACKGROUND: Injuries constitute a significant global public health concern, particularly among individuals aged 0-34. These injuries are affected by various social, psychological, and physiological factors and are no longer viewed merely as accidenta...
Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.
Leukemia research
Nov 20, 2024
BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), re...
Adolescent
Child, Preschool
Child
Treatment Outcome
Follow-Up Studies
Graft vs Host Disease
Humans
Machine Learning
Prognosis
Adult
Survival Rate
Leukemia, Myeloid, Acute
Male
Retrospective Studies
Middle Aged
Female
Leukemia
Aged
Young Adult
Hematopoietic Stem Cell Transplantation
Transplantation, Homologous
Precursor Cell Lymphoblastic Leukemia-Lymphoma
How sociodemographic factors relate to trust in artificial intelligence among students in Poland and the United Kingdom.
Scientific reports
Nov 20, 2024
The article aims to determine the sociodemographic factors associated with the level of trust in artificial intelligence (AI) based on cross-sectional research conducted in late 2023 and early 2024 on a sample of 2098 students in Poland (1088) and th...
Tickling induces a unique type of spontaneous laughter.
Biology letters
Nov 20, 2024
Laughing is ubiquitous in human life, yet what causes it and how it sounds is highly variable. Considering this diversity, we sought to test whether there are fundamentally different kinds of laughter. Here, we sampled spontaneous laughs ( = 887) fro...
Machine learning-based prediction of elevated N terminal pro brain natriuretic peptide among US general population.
ESC heart failure
Nov 19, 2024
AIMS: Natriuretic peptide-based pre-heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre...
Machine learning for classifying chronic ankle instability based on ankle strength, range of motion, postural control and anatomical deformities in delivery service workers with a history of lateral ankle sprains.
Musculoskeletal science & practice
Nov 19, 2024
OBJECTIVE: Chronic ankle instability (CAI) frequently develops as a result of lateral ankle sprains (LAS) in delivery service workers (DSWs). Identifying risk factors for CAI is crucial for implementing targeted interventions. This study aimed to dev...
Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review.
Psychiatry research
Nov 19, 2024
The youth mental health crisis is exacerbated by limited access to care and resources. Mobile health (mHealth) platforms using predictive artificial intelligence (AI) can improve access and reduce barriers, enabling real-time responses and precision ...
Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Nov 19, 2024
INTRODUCTION: Precise localization of the epileptogenic zone is critical for successful epilepsy surgery. However, imbalanced datasets in terms of epileptic vs. normal electrode contacts and a lack of standardized evaluation guidelines hinder the con...
Explainable Deep Learning Approaches for Risk Screening of Periodontitis.
Journal of dental research
Nov 19, 2024
Several pieces of evidence have been reported regarding the association between periodontitis and systemic diseases. Despite the emphasized significance of prevention and early diagnosis of periodontitis, there is still a lack of a clinical tool for ...
Deep Learning Recognition of Paroxysmal Kinesigenic Dyskinesia Based on EEG Functional Connectivity.
International journal of neural systems
Nov 19, 2024
Paroxysmal kinesigenic dyskinesia (PKD) is a rare neurological disorder marked by transient involuntary movements triggered by sudden actions. Current diagnostic approaches, including genetic screening, face challenges in identifying secondary cases ...
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