Mortality, Discharge Disposition, and Length-of-Stay in Patients with Heart Failure and Acute Ischemic Stroke: Machine Learning Clustering Analysis of 83,000 Patients (P4-13.008)

We aim to identify patient groups with unique comorbidity profiles in the 2015–2019 National Inpatient Sample (NIS), and assess the contributions of these profiles to mortality, discharge disposition, and length-of-stay in the sample of patients with heart failure and acute ischemic stroke (AIS).

Authors

Aryan Malhotra
Adam Kiss (ORCID: https://orcid.org/0000-0001-7442-4250)
Fawaz Al‐Mufti (ORCID: https://orcid.org/0000-0003-4461-7005)
Mateusz Faltyn (ORCID: https://orcid.org/0000-0002-7276-3029)
James D. Beck (ORCID: https://orcid.org/0000-0001-5415-8311)

Institutions

Westchester Medical Center (US)
New York Medical College (US)

Publication Details

Journal: Neurology
Published: 2025-04-07
DOI: https://doi.org/10.1212/wnl.0000000000212655
Primary Topic: Machine Learning in Healthcare
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Mortality, Discharge Disposition, and Length-of-Stay in Patients with Heart Failure and Acute Ischemic Stroke: Machine Learning Clustering Analysis of 83,000 Patients (P4-13.008)

Aryan Malhotra, Adam Kiss, Fawaz Al‐Mufti, Mateusz Faltyn et al.

Apr 7, 2025

Neurology

Machine Learning in Healthcare

article

Mortality, Discharge Disposition, and Length-of-Stay in Patients with Heart Failure and Acute Ischemic Stroke: Machine Learning Clustering Analysis of 83,000 Patients (P4-13.008)

Aryan Malhotra, Adam Kiss, Fawaz Al‐Mufti, Mateusz Faltyn, James D. Beck

April 7, 2025article en

Abstract

We aim to identify patient groups with unique comorbidity profiles in the 2015–2019 National Inpatient Sample (NIS), and assess the contributions of these profiles to mortality, discharge disposition, and length-of-stay in the sample of patients with heart failure and acute ischemic stroke (AIS).

NeurologyVol. 104(7_Supplement_1)

Westchester Medical Center (US), New York Medical College (US)

Good health and well-being

Openalex Percentile: Top 97%

Machine Learning in Healthcare

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.