Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Aljoscha Benjamin Hwang

2PUBLICATIONS
0CO-AUTHORS
Major global burdens of diseaseEpidemiological methods
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (2)

Sort by Publication Date:
|Nov 12, 2021
External validation of EPIC's Risk of Unplanned Readmission model, the LACE+ index and SQLape as predictors of unplanned hospital readmissions: A monocentric, retrospective, diagnostic cohort study in Switzerland.

Aljoscha Benjamin Hwang, Guido Schuepfer, Mario Pietrini

|Jul 26, 2019
Validity of screening instruments for the detection of dementia and mild cognitive impairment in hospital inpatients: A systematic review of diagnostic accuracy studies.

Aljoscha Benjamin Hwang, Stefan Boes, Thomas Nyffeler

Pageof 1

Frequent Collaborators

Frequent Collaborators

Top Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on : Sep 16, 2022

2.2K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on : Jan 11, 2020

7.9K
See more related videos

Top Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on : Sep 16, 2022

2.2K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on : Jan 11, 2020

7.9K
See more related videos