BMJ

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Objectives We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
Frontiers

AI-assisted screening for mild cognitive impairment using routine EHR data: a Gradient Boosting approach

To develop and internally validate a machine learning (ML) model that identifies older outpatients with MCI using routine electronic health record (EHR) data. We conducted a retrospective ...
PNAS

Detecting gene–environment interactions to guide personalized intervention: Boosting distributional regression for polygenic scores

Polygenic risk scores (PRSs) aggregate genetic information to estimate individual predisposition to a trait. While most PRSs model the phenotypic mean, patterns of variability can also be informative ...
C&EN

Metal Oxide–Metal Organic Framework Layers for Discrimination of Multiple Gases Employing Machine Learning Algorithms

Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, The Australian National University, Canberra, ACT 2601, Australia School of Engineering and Technology, The ...
ascopubs.org

Development of a Machine Learning Algorithm to Predict Abnormalities in Serum Phosphate in a Large Oncology Cohort

This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...
LinkedIn

End-to-End Implementation of Data Science: Real-World Use Cases in BFSI, Healthcare, and Automobile Domains

Introduction As a Principal Data Scientist working in an agile-based IT environment, the ability to design and implement scalable, sustainable, and pragmatic data science solutions is paramount. Here, ...
Scientific Research Publishing

An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques ()

1 Tata Consultancy Services, Charlotte, NC, USA. 2 Mitaja Corportaion, Woodlawn, MD, USA. 3 Adobe, Seattle, WA, USA. 4 Microsoft, Charlotte, NC, USA. 5 Ally Financial ...
scienceopen.com

Enhancing Navigation and Object Recognition for Visually Impaired Individuals: A Gradient Support Vector Boosting-based Crossover Golden Jackal Algorithm Approach

On a global scale, individuals with vision impairments encounter various limitations when it comes to moving around and finding their way independently. Their daily activities are impeded by their ...
aibusiness

AI in the Advancement of Precision Nutrition

Lifestyle-mediated chronic conditions, such as heart disease, cancer, obesity and diabetes, account for 74% of annual deaths globally. These conditions are multifaceted in their origins, arising from ...
Nature

Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data

Sepsis is a leading cause of mortality and early identification improves survival. With increasing digitalization of health care data automated sepsis prediction models hold promise to aid in prompt ...