User profiles for "author:Karandeep Singh"

Karandeep Singh

- Verified email at ucsd.edu - Cited by 5143

Karandeep Singh

- Verified email at ibs.re.kr - Cited by 329

Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review

E Mahmoudi, N Kamdar, N Kim, G Gonzales, K Singh… - bmj, 2020 - bmj.com
Objective To provide focused evaluation of predictive modeling of electronic medical record
(EMR) data to predict 30 day hospital readmission. Design Systematic review. Data source …

American College of Rheumatology guidelines for screening, treatment, and management of lupus nephritis

BH Hahn, MA Mcmahon, A Wilkinson… - Arthritis care & …, 2012 - Wiley Online Library
In the US, approximately 35% of adults with systemic lupus erythematosus (SLE) have
clinical evidence of nephritis at the time of diagnosis, with an estimated total of 50–60 …

The clinician and dataset shift in artificial intelligence

SG Finlayson, A Subbaswamy, K Singh… - … England Journal of …, 2021 - Mass Medical Soc
Dataset Shift in Clinical Trials This letter outlines how to identify, and potentially mitigate,
common sources of “dataset shift” in machine-learning systems. This occurs when the model …

Artificial intelligence-enabled decision support in nephrology

TJ Loftus, B Shickel, T Ozrazgat-Baslanti… - Nature Reviews …, 2022 - nature.com
Kidney pathophysiology is often complex, nonlinear and heterogeneous, which limits the
utility of hypothetical-deductive reasoning and linear, statistical approaches to diagnosis and …

Identifying challenges and opportunities in human-AI collaboration in healthcare

SY Park, PY Kuo, A Barbarin, E Kaziunas… - … Publication of the 2019 …, 2019 - dl.acm.org
The proposed workshop will identify research questions that will enable the field to uncover
the types of work, labor relations, and social impacts that should be considered when …

External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients

A Wong, E Otles, JP Donnelly, A Krumm… - JAMA internal …, 2021 - jamanetwork.com
Importance The Epic Sepsis Model (ESM), a proprietary sepsis prediction model, is
implemented at hundreds of US hospitals. The ESM's ability to identify patients with sepsis …

Characteristics associated with racial/ethnic disparities in COVID-19 outcomes in an academic health care system

T Gu, JA Mack, M Salvatore, SP Sankar… - JAMA network …, 2020 - jamanetwork.com
Importance Black patients are overrepresented in the number of COVID-19 infections,
hospitalizations, and deaths in the US. Reasons for this disparity may be due to underlying …

[HTML][HTML] Usability of commercially available mobile applications for diverse patients

U Sarkar, GI Gourley, CR Lyles, L Tieu, C Clarity… - Journal of general …, 2016 - Springer
ABSTRACT BACKGROUND Mobile applications or 'apps' intended to help people manage
their health and chronic conditions are widespread and gaining in popularity. However, little …

Many mobile health apps target high-need, high-cost populations, but gaps remain

K Singh, K Drouin, LP Newmark, JH Lee, A Faxvaag… - Health …, 2016 - healthaffairs.org
With rising smartphone ownership, mobile health applications (mHealth apps) have the
potential to support high-need, high-cost populations in managing their health. While the …

[PDF][PDF] Developing a framework for evaluating the patient engagement, quality, and safety of mobile health applications

K Singh, K Drouin, LP Newmark… - Issue Brief (Commonw …, 2016 - issuelab.org
Rising ownership of smartphones and tablets across social and demographic groups has
made mobile applications, or apps, a potentially promising tool for engaging patients in their …