AIMC Topic: Young Adult

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Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records.

PloS one Feb 19, 2019
OBJECTIVE: The rapid proliferation of machine learning research using electronic health records to classify healthcare outcomes offers an opportunity to address the pressing public health problem of adolescent suicidal behavior. We describe the devel...
Natural Language Processing Psychiatric Department, Hospital Massachusetts Psychology, Adolescent Adolescent, Hospitalized Suicide, Attempted Adolescent Suicidal Ideation Child Adolescent Behavior Algorithms Electronic Health Records Humans Female Machine Learning Young Adult Male
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Noninvasive prediction of Blood Lactate through a machine learning-based approach.

Scientific reports Feb 18, 2019
We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, exercise intensity and some anthropometric elements during aerobic exercise. This investigation aimed to establish a mathematical model to estimate [L...
Humans Machine Learning Algorithms Female Young Adult Adult Male Heart Rate Middle Aged Healthy Volunteers Exercise Lactic Acid Oxygen Consumption Exercise Test Models, Biological Respiratory Rate
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Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder.

NeuroImage. Clinical Feb 18, 2019
Brain imaging studies have revealed that functional and structural brain connectivity in the so-called triple network (i.e., default mode network (DMN), salience network (SN) and central executive network (CEN)) are consistently altered in schizophre...
Schizophrenia Nerve Net Schizophrenic Psychology Humans Male Female Middle Aged Young Adult Depressive Disorder, Major Adult Magnetic Resonance Imaging Supervised Machine Learning
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Artificial Neural Network for in-Bed Posture Classification Using Bed-Sheet Pressure Sensors.

IEEE journal of biomedical and health informatics Feb 13, 2019
Pressure ulcer prevention is a vital procedure for patients undergoing long-term hospitalization. A human body lying posture (HBLP) monitoring system is essential to reschedule posture change for patients. Video surveillance, the conventional method ...
Beds Textiles Neural Networks, Computer Female Young Adult Adult Male Posture Signal Processing, Computer-Assisted Pressure Polysomnography Pressure Ulcer Humans
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SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis.

BMJ open Feb 13, 2019
INTRODUCTION: This study aims to obtain data on the prevalence and incidence of structural heart disease in a population setting and, to analyse and present those data on the application of spatial and machine learning methods that, although known to...
Incidence Heart Diseases Spatial Analysis Spain Middle Aged Prevalence Surveys and Questionnaires Adolescent Machine Learning Research Design Prospective Studies Female Risk Factors Aged Young Adult Humans Adult Cross-Sectional Studies Male
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Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.

European radiology Feb 12, 2019
OBJECTIVES: Distinguishing between kidney stones and phleboliths can constitute a diagnostic challenge in patients undergoing unenhanced low-dose CT (LDCT) for acute flank pain. We sought to investigate the accuracy of radiomics and a machine-learnin...
Aged, 80 and over Machine Learning Algorithms Young Adult Humans Tomography, X-Ray Computed Diagnosis, Differential Adult Female Male Kidney Calculi Aged Middle Aged Lithiasis Acute Pain Flank Pain
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Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors.

Clinical neurology and neurosurgery Feb 12, 2019
OBJECTIVES: Stereotactic radiosurgery (SRS) is a minimally invasive modality for the treatment of trigeminal neuralgia (TN). Outcome prediction of this modality is very important for proper case selection. The aim of this study was to create artifici...
Radiosurgery Trigeminal Neuralgia Kaplan-Meier Estimate Follow-Up Studies Predictive Value of Tests Pain Measurement Neurosurgical Procedures Radiation Dosage Middle Aged Depression Adolescent Treatment Outcome Diabetes Mellitus Aged Aged, 80 and over Young Adult Adult Male Humans Neural Networks, Computer Prognosis Female Risk Factors
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Critical Illness Intensive Care Units Female Aged Young Adult Humans Databases, Factual Retrospective Studies Length of Stay Adolescent Hospital Mortality Longitudinal Studies Decision Making Adult Male Middle Aged Severity of Illness Index Deep Learning Area Under Curve Probability Critical Care Organ Dysfunction Scores
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(Not) hearing happiness: Predicting fluctuations in happy mood from acoustic cues using machine learning.

Emotion (Washington, D.C.) Feb 11, 2019
Recent popular claims surrounding virtual assistants suggest that computers will soon be able to hear our emotions. Supporting this possibility, promising work has harnessed big data and emergent technologies to automatically predict stable levels of...
Male Emotions Cues Happiness Humans Machine Learning Female Young Adult Adult
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Machine learning identifies "rsfMRI epilepsy networks" in temporal lobe epilepsy.

European radiology Feb 8, 2019
OBJECTIVES: Experimental models have provided compelling evidence for the existence of neural networks in temporal lobe epilepsy (TLE). To identify and validate the possible existence of resting-state "epilepsy networks," we used machine learning met...
Humans Magnetic Resonance Imaging Electroencephalography Cerebellum Epilepsy, Temporal Lobe Thalamus Machine Learning Female Young Adult Adult Male
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