AIMC Topic: Young Adult

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Comparing machine learning with case-control models to identify confirmed dengue cases.

PLoS neglected tropical diseases Nov 10, 2020
In recent decades, the global incidence of dengue has increased. Affected countries have responded with more effective surveillance strategies to detect outbreaks early, monitor the trends, and implement prevention and control measures. We have appli...
Machine Learning Female Aged Young Adult Adult Male Humans Middle Aged Public Health Disease Outbreaks Case-Control Studies Adolescent Models, Statistical Developing Countries Epidemiological Monitoring Dengue
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Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.

Nature communications Nov 9, 2020
Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI), however, clinical adoption of these models requires interpretability and transportability. Non-interoperable data across hospitals is a major barrier to mo...
ROC Curve Humans Artificial Intelligence Young Adult Machine Learning Adult Acute Kidney Injury Male Female Middle Aged Risk Factors Risk Assessment Aged Adolescent
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Circulating Neutrophil Extracellular Traps Signature for Identifying Organ Involvement and Response to Glucocorticoid in Adult-Onset Still's Disease: A Machine Learning Study.

Frontiers in immunology Nov 9, 2020
Adult-onset Still's disease (AOSD) is an autoinflammatory disease with multisystem involvement. Early identification of patients with severe complications and those refractory to glucocorticoid is crucial to improve therapeutic strategy in AOSD. Exag...
Extracellular Traps Adult Humans Male Support Vector Machine Cytokines Middle Aged Cell-Free Nucleic Acids Prognosis Glucocorticoids Still's Disease, Adult-Onset Female Case-Control Studies Young Adult Treatment Outcome
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Analysis of Visuo Motor Control between Dominant Hand and Non-Dominant Hand for Effective Human-Robot Collaboration.

Sensors (Basel, Switzerland) Nov 8, 2020
The human-in-the-loop technology requires studies on sensory-motor characteristics of each hand for an effective human-robot collaboration. This study aims to investigate the differences in visuomotor control between the dominant (DH) and non-dominan...
Virtual Reality Humans Robotics Female Hand Young Adult Movement Adult Feedback Biomechanical Phenomena Male
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Major colorectal resection is feasible using a new robotic surgical platform: the first report of a case series.

Techniques in coloproctology Nov 6, 2020
BACKGROUND: The number of abdominal procedures performed via a robotic-assisted approach is increasing as potential advantages of the modality are recognised. We report the first in human case series of major colorectal resection performed using a ne...
Young Adult Adult Colorectal Neoplasms Male Middle Aged Treatment Outcome Robotics Laparoscopy Robotic Surgical Procedures Rectum Humans Female Aged Aged, 80 and over
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.

Journal of medical Internet research Nov 6, 2020
BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, ...
SARS-CoV-2 Hospitalization Aged Aged, 80 and over Young Adult Adult COVID-19 Prognosis Acute Kidney Injury Humans Electronic Health Records Hospital Mortality Machine Learning Female ROC Curve Pandemics Male Coronavirus Infections Middle Aged New York City Risk Assessment Betacoronavirus Hospitals Pneumonia, Viral Adolescent Cohort Studies
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Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data.

PLoS medicine Nov 6, 2020
BACKGROUND: Suicide is a major public health concern globally. Accurately predicting suicidal behavior remains challenging. This study aimed to use machine learning approaches to examine the potential of the Swedish national registry data for predict...
Predictive Value of Tests Registries Male Risk Assessment Humans Depressive Disorder, Major Machine Learning Suicide, Attempted Female Suicidal Ideation Sweden Risk Factors Young Adult Adult
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Two machine learning methods identify a metastasis-related prognostic model that predicts overall survival in medulloblastoma patients.

Aging Nov 5, 2020
Approximately 30% of medulloblastoma (MB) patients exhibit metastasis at initial diagnosis, which often leads to a poor prognosis. Here, by using univariate Cox regression analysis, two machine learning methods (Lasso-penalized Cox regression and ran...
Humans Machine Learning Decision Support Techniques Prognosis Clinical Decision-Making Female Reproducibility of Results Risk Factors Young Adult Adult Databases, Genetic Predictive Value of Tests Cerebellar Neoplasms Medulloblastoma Gene Expression Profiling Biomarkers, Tumor Transcriptome Male Adolescent Middle Aged Child, Preschool Risk Assessment Child Infant Nomograms
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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Young Adult Adult Male Middle Aged Diet Case-Control Studies Machine Learning Data Analysis Female Aged Aged, 80 and over RNA, Ribosomal, 16S Residence Characteristics Area Under Curve Gastrointestinal Motility Alcohol Drinking Disease Feces ROC Curve Diabetes Mellitus, Type 2 Body Mass Index Gastrointestinal Microbiome Humans Life Style Confounding Factors, Epidemiologic
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Tree-Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level.

Journal of the American Heart Association Nov 3, 2020
Background Stroke is a major cardiovascular disease that causes significant health and economic burden in the United States. Neighborhood community-based interventions have been shown to be both effective and cost-effective in preventing cardiovascul...
Exercise Risk Factors Age Factors Prevalence Humans Aged Stroke United States Machine Learning Young Adult Health Behavior Socioeconomic Factors Female Adult Residence Characteristics Male Middle Aged
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