AIMC Topic: Boston

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Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study.

JMIR medical informatics May 26, 2025
BACKGROUND: Electronic health records (EHRs) are widely used in health care systems across the United States to help clinicians access patient medical histories in one central location. As medical knowledge expands, clinicians are increasingly using ...
Humans Middle Aged Qualitative Research Attitude of Health Personnel Interviews as Topic Boston Electronic Health Records Female Adult Male Point-of-Care Systems
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Alternative stopping rules to limit tree expansion for random forest models.

Scientific reports Sep 6, 2022
Random forests are a popular type of machine learning model, which are relatively robust to overfitting, unlike some other machine learning models, and adequately capture non-linear relationships between an outcome of interest and multiple independen...
Machine Learning Nutrition Surveys Los Angeles Boston
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Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

JAMA network open Jul 1, 2021
IMPORTANCE: Electronic health records (EHRs) provide a low-cost means of accessing detailed longitudinal clinical data for large populations. A lung cancer cohort assembled from EHR data would be a powerful platform for clinical outcome studies.
Area Under Curve Survival Analysis Survivors Boston Humans Machine Learning Algorithms Prognosis Electronic Health Records Female Male Cohort Studies ROC Curve Lung Neoplasms
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Assessment of the Acceptability and Feasibility of Using Mobile Robotic Systems for Patient Evaluation.

JAMA network open Mar 1, 2021
IMPORTANCE: Before the widespread implementation of robotic systems to provide patient care during the COVID-19 pandemic occurs, it is important to understand the acceptability of these systems among patients and the economic consequences associated ...
Humans Pandemics COVID-19 Middle Aged Hospitals Surveys and Questionnaires Triage Robotics Delivery of Health Care Female Aged Adult Male Patient Satisfaction Catheterization Phlebotomy Physical Examination Boston Emergency Service, Hospital Patient Care Feasibility Studies Telemedicine
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Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals.

JAMA network open Nov 2, 2020
IMPORTANCE: Although critical to patient safety, health care-related allergic reactions are challenging to identify and monitor.
Hypersensitivity Boston Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Humans Algorithms Patient Safety Female Reproducibility of Results Aged Adult Cross-Sectional Studies Male
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Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score.

PloS one May 21, 2020
Current stroke risk assessment tools presume the impact of risk factors is linear and cumulative. However, both novel risk factors and their interplay influencing stroke incidence are difficult to reveal using traditional additive models. The goal of...
Boston Decision Trees Stroke Hematocrit Nonlinear Dynamics Humans Middle Aged Models, Cardiovascular Machine Learning Risk Assessment Algorithms Cohort Studies Prospective Studies Electrocardiography Female Risk Factors Aged Male
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Prediction of microbial communities for urban metagenomics using neural network approach.

Human genomics Oct 22, 2019
BACKGROUND: Microbes are greatly associated with human health and disease, especially in densely populated cities. It is essential to understand the microbial ecosystem in an urban environment for cities to monitor the transmission of infectious dise...
New York Boston Neural Networks, Computer Cities Algorithms Models, Genetic Reproducibility of Results Databases, Genetic Microbiota Metagenomics
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Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions.

Palliative medicine Nov 14, 2018
Intensive Care Units Female Adult Male Middle Aged Deep Learning Critical Care Documentation Guidelines as Topic Boston Humans Algorithms Health Personnel Admitting Department, Hospital
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Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

BMJ open Jan 26, 2018
OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm () for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-specifi...
Boston Retrospective Studies Patients' Rooms Intensive Care Units Area Under Curve Sepsis Female Machine Learning Adult Emergency Service, Hospital Adolescent Aged Humans Algorithms Male Hospital Mortality Young Adult Databases, Factual Middle Aged Vital Signs ROC Curve Prognosis Severity of Illness Index San Francisco Shock, Septic Length of Stay
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A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

Clinical journal of the American Society of Nephrology : CJASN Oct 10, 2016
BACKGROUND AND OBJECTIVES: Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk fac...
Humans Nephrology Disease Progression Risk Factors Retrospective Studies Outpatient Clinics, Hospital Aged Incidence Electronic Health Records Proportional Hazards Models Adult Natural Language Processing Female Boston Male Kidney Failure, Chronic Middle Aged
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