AIMC Topic: New York City
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Machine Learning for the Prediction of Surgical Morbidity in Placenta Accreta Spectrum.
American journal of perinatology
Sep 17, 2024
OBJECTIVE: We sought to create a machine learning (ML) model to identify variables that would aid in the prediction of surgical morbidity in cases of placenta accreta spectrum (PAS).
Natural Language Processing to Identify Home Health Care Patients at Risk for Becoming Incapacitated With No Evident Advance Directives or Surrogates.
Journal of the American Medical Directors Association
May 14, 2024
OBJECTIVES: Home health care patients who are at risk for becoming Incapacitated with No Evident Advance Directives or Surrogates (INEADS) may benefit from timely intervention to assist them with advance care planning. This study aimed to develop nat...
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort.
Journal of human nutrition and dietetics : the official journal of the British Dietetic Association
Feb 13, 2024
BACKGROUND: Malnutrition is associated with increased morbidity, mortality, and healthcare costs. Early detection is important for timely intervention. This paper assesses the ability of a machine learning screening tool (MUST-Plus) implemented in re...
COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis.
JMIR public health and surveillance
Jan 18, 2022
BACKGROUND: The adoption of nonpharmaceutical interventions and their surveillance are critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions can help shape public health decisions....
Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning.
BMC infectious diseases
May 4, 2021
BACKGROUND: Accurately predicting outcomes for cancer patients with COVID-19 has been clinically challenging. Numerous clinical variables have been retrospectively associated with disease severity, but the predictive value of these variables, and how...
Forecasting influenza activity using machine-learned mobility map.
Nature communications
Feb 9, 2021
Human mobility is a primary driver of infectious disease spread. However, existing data is limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease dynamics are crucial for decision-making by health officials a...
Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach.
Scientific reports
Jan 14, 2021
Early admission to the neurosciences intensive care unit (NSICU) is associated with improved patient outcomes. Natural language processing offers new possibilities for mining free text in electronic health record data. We sought to develop a machine ...
Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system.
Scientific reports
Dec 9, 2020
Timely and effective clinical decision-making for COVID-19 requires rapid identification of risk factors for disease outcomes. Our objective was to identify characteristics available immediately upon first clinical evaluation related COVID-19 mortali...
Development of a machine learning algorithm to predict intubation among hospitalized patients with COVID-19.
Journal of critical care
Nov 16, 2020
PURPOSE: The purpose of this study is to develop a machine learning algorithm to predict future intubation among patients diagnosed or suspected with COVID-19.
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, ...
Betacoronavirus
Pneumonia, Viral
Hospitalization
Cohort Studies
Prognosis
Male
Humans
Aged
Hospital Mortality
Middle Aged
Machine Learning
Aged, 80 and over
Acute Kidney Injury
ROC Curve
Risk Assessment
Pandemics
Young Adult
Electronic Health Records
Coronavirus Infections
Adult
COVID-19
Female
New York City
Hospitals
SARS-CoV-2
Adolescent
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