Military Medicine

Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the complex interactions between biological and environmental factors that underlay post-traumatic psychopathology. Further, using symptom-based diagnostic st...

A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma survivors. Numerous risk indicators of PTSD have been identified, but individual level prediction remains elusive. As an effort to bridge the gap between scientific discovery and practical application, we designed and implemented a clinical decision support pipeline to provide clinically relevant r...

Reliability of Robotic Telemedicine for Assessing Critically Ill Patients with the Full Outline of UnResponsiveness Score and Glasgow Coma Scale.

PURPOSE: Telemedicine is increasingly utilized in the evaluation of critically ill patients, including those with decreased level of consciousness (LO...

A prediction model of blood pressure for telemedicine.

This paper presents a new study based on a machine learning technique, specifically an artificial neural network, for predicting systolic blood pressu...

Remote triage support algorithm based on fuzzy logic.

OBJECTIVES: This paper presents a remote triage support algorithm as a part of a complex military telemedicine system which provides continuous monito...

The First Interlaced Continuum Robot, Devised to Intrinsically Follow the Leader.

Flexible probes that are safely deployed to hard-to-reach targets while avoiding critical structures are strategic in several high-impact application ...

Telemedicine Supported Chronic Wound Tissue Prediction Using Classification Approaches.

Telemedicine helps to deliver health services electronically to patients with the advancement of communication systems and health informatics. Chronic...

Telemedicine as a special case of machine translation.

Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine translation systems available in the web, which p...

FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Recently, the use of social media for health information exchange is expanding among patients, physicians, and other health care professionals. In med...

Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.

BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to gui...

Combining conceptual graphs and argumentation for aiding in the teleexpertise.

Current medical information systems are too complex to be meaningfully exploited. Hence there is a need to develop new strategies for maximising the e...

Negative Affect Instability among Individuals with Comorbid Borderline Personality Disorder and Posttraumatic Stress Disorder.

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective instability (AI) in the daily lives of outpatients wit...

Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensive care unit (TICU) clinician teamwork (i.e., team...

Bridging a translational gap: using machine learning to improve the prediction of PTSD.

BACKGROUND: Predicting Posttraumatic Stress Disorder (PTSD) is a pre-requisite for targeted prevention. Current research has identified group-level ri...

Robotic telepresence versus standardly supervised stroke alert team assessments.

BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities, regardless of geography. We hypothesized that th...

Evaluating performance bias in face-to-BMI vision transformer models across diverse human populations

Computer vision models that estimate body mass index (BMI) from facial features offer a non-invasive, low-cost alternative to physical measurement, wi...

Toward Transportable Acute Kidney Injury Prediction: An Explainable XGBoost Model with Temporal Validation Using MIMIC-IV

Acute kidney injury (AKI) is a frequent complication within intensive care units, with its sudden onset often missed. This is especially important bec...

Accessible and reproducible deployment reveals the practical boundaries of single-cell foundation models

Single-cell foundation models (scFMs) have been widely promoted as a unifying paradigm for transcriptomic analysis, yet whether large-scale pretrainin...

Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening

Deploying a new control policy for voltage control in active distribution grids requires evidence that physical limits will be satisfied before the po...

Local retraining mitigates domain shift in sepsis prediction: Lessons from translating a neonatal model to mixed intensive care data

Background: Machine learning models leveraging electronic health records (EHRs) can support earlier detection of sepsis in intensive care units (ICUs)...