Suicide risk classification with machine learning techniques in a large Brazilian community sample - Roza TH, Seibel GS, Recamonde-Mendoza M, Lotufo PA, Bense ñor IM, Passos IC, Brunoni AR.
Even though suicide is a relatively preventable poor outcome, its prediction remains an elusive task. The main goal of this study was to develop machine learning classifiers to identify increased suicide risk in Brazilians with common mental disorders. Wit... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news
Identification of bullets fired from air guns using machine and deep learning methods - Mookiah MRK, Puch-Solis R, Nic Daeid N.
Ballistics (the linkage of bullets and cartridge cases to weapons) is a common type of evidence encountered in criminal cases around the world. The interest lies in determining whether two bullets were fired using the same firearm. This paper proposes an a... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news
Learning spatial-temporal dynamics for short-term passenger flow prediction in urban rail transit - Li X, Wu J, He D, Teng X, Ren C.
Accurate short-term passenger flow prediction in urban rail transit (URT) plays an important role in ensuring the stable operation of the URT systems. Because of the complex dynamic spatial-temporal dependencies and potential semantic correlations of the U... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news
Traffic conflict prediction at signal cycle level using Bayesian optimized machine learning approaches - Zheng L, Hu Z, Sayed T.
This study develops non-parametric models to predict traffic conflicts at signalized intersections at the signal cycle level using machine learning approaches. Three different datasets were collected, one from Surrey, Canada, and the other two from Los Ang... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news
Analyzing the injury severity in single-bicycle crashes: an application of the ordered forest with some practical guidance - Zhang Y, Li H, Ren G.
This paper investigates the injury severity of cyclists in single-bicycle crashes (SBCs) in the UK. The data for analysis is constructed from the STATS19 road traffic casualty database, covering the period of 2016-2019. A machine learning-based ordered cho... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news
Applying explainable machine learning techniques in daily crash occurrence and severity modeling for rural interstates - Wei Z, Zhang Y, Das S.
Conventional traffic crash analysis methods often use highly aggregated data, making it difficult to understand the effects of time-varying factors on crash occurrence. Although studies have used data with small aggregation intervals, they typically analyz... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news
Deep multimodal learning for traffic speed estimation combining dedicated short-range communication and vehicle detection system data - Min JH, Ham SW, Kim DK, Lee EH.
The estimation of traffic variables and provision of traffic information are the most important components of intelligent transportation systems. Advances in technology have led to the collection of various traffic sensor data, and nonlinear dependencies b... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news
In-depth understanding of pedestrian-vehicle near-crash events at signalized intersections: an interpretable machine learning approach - Kong X, Das S, Zhang Y, Wei Z, Yuan C.
This study used a pedestrian-involved near-crash database and adopted an interpretable machine learning framework using SHapley Additive exPlanations (SHAP) to understand the factors associated with critical pedestrian-involved near-crash events. The resul... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Distraction, Fatigue, Chronobiology, Vigilance, Workload Source Type: news
Label-less learning for urban railway transit driver fatigue detection with heart rate variability - Jiao Y, Tan Y, Zhang X, Sun Z, Fu L, Wen C, Jiang C.
Driver fatigue has a direct impact on urban railway transit (URT) drivers' driving behavior and can cause driver error. The existing methods for fatigue detection mainly train the models with supervised learning, relying heavily on the annotation of record... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Distraction, Fatigue, Chronobiology, Vigilance, Workload Source Type: news
"Learning from disaster: what past events can teach radiology departments about planning for a mass casualty incident" - Hou C, Hafeez S, Okun J, Chaudhry H, Dym RJ.
The increased frequency of mass shootings, terror attacks, and natural disasters in recent years have presented challenges to provision of quality medical care in both short and long-term stressful situations. While emergency departments and trauma surgeon... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Disaster Preparedness Source Type: news
The effect of natural disasters on human capital in the United States - Opper IM, Park RJ, Husted L.
Although natural disasters are commonplace, they leave in their wake an enormous amount of damage. The physical damage they cause is immediately apparent, but less obvious is the potential magnitude of disruptions to learning and resulting damage to human ... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Disaster Preparedness Source Type: news
Revisiting the association between attachment to parents and adolescent substance use: conditional effects of parental disapproval - Meldrum RC, Lehmann PS, Kakar S, Silverthorn R.
Social bond theory provides a clear theoretical link between attachment to parents and reduced involvement with substance use regardless of the substance use-related attitudes and behaviors of parents. In contrast, social learning theories contend that att... (Source: SafetyLit)
Source: SafetyLit - June 5, 2023 Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news
Prostate Cancer: The Basics Every Man Needs to Know
MONDAY, June 5, 2023 -- No man wants to hear that he has prostate cancer, but if he is diagnosed he will need to learn about the disease and how it is treated.
Prostate cancer affects one in seven men. According to the American Cancer Society (ACS),... (Source: Drugs.com - Daily MedNews)
Source: Drugs.com - Daily MedNews - June 5, 2023 Category: General Medicine Source Type: news
IDH-mutant Glioma: Vorasidenib improves PFS in phase 3 study IDH-mutant Glioma: Vorasidenib improves PFS in phase 3 study
Vorasidenib is the first targeted therapy with positive pivotal phase 3 data in patients with grade 2 IDH1/2-mutant diffuse glioma. The INDIGO study met primary and key secondary endpoints in the second interim analysis. Learn more!Medscape Medical Affairs (Source: Medscape Today Headlines)
Source: Medscape Today Headlines - June 5, 2023 Category: Consumer Health News Tags: None Virtual Symposium Source Type: news
STtereotactic Arrhythmia Radioablation (STAR) STtereotactic Arrhythmia Radioablation (STAR)
Learn about the STOPSTORM consortium, which investigates the current clinical use of STereotactic Arrhythmia Radioablation (STAR) practice in Europe.Europace (Source: Medscape Today Headlines)
Source: Medscape Today Headlines - June 5, 2023 Category: Consumer Health News Tags: Cardiology Journal Article Source Type: news
