Ni Luh Putu Satyaning Pradnya Paramita

College of Sciences

Works (4)

Updated: November 6th, 2023 07:25

2023 journal article

Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records

PLOS ONE, 18(9).

By: N. Paramita n, J. Agor*, M. Mayorga*, J. Ivy*, K. Miller* & O. Ozaltin*

TL;DR: The presence of diabetes complications increases the risks of COVID-19 infection, hospitalization, and worse health outcomes with respect to in-hospital mortality and longer hospital length of stay, and health disparities in CO VID-19 outcomes across demographic groups in the diabetes population are shown. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: October 30, 2023

2021 journal article

Prediction of Sepsis Related Mortality: An Optimization Approach

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 25(11), 4207–4216.

By: J. Agor*, N. Paramita n & O. Ozaltn

Contributors: J. Agor*, N. Paramita n & O. Ozaltn

author keywords: Sepsis; SOFA score; optimization; mixed-integer programming; electronic health records
TL;DR: This study proposes multiple strategies to adjust the SOFA score using mixed-integer programming to improve the in-hospital mortality prediction of septic patients based on Electronic Health Records (EHRs) to take advantage of optimization and data analysis while taking into account the medical expertise. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 23, 2021

2020 journal article

Estimating city-level poverty rate based on e-commerce data with machine learning

Electronic Commerce Research, 22(1), 195–221.

By: D. Wijaya*, N. Paramita*, A. Uluwiyah, M. Rheza, A. Zahara & D. Puspita*

Contributors: D. Wijaya*, N. Paramita*, A. Uluwiyah, M. Rheza, A. Zahara & D. Puspita*

TL;DR: A framework for poverty rate estimation based on e-commerce data using machine learning algorithms is proposed and it is found that cars and motorbikes are the two most significant items for poverty prediction in Indonesia. (via Semantic Scholar)
Source: ORCID
Added: April 18, 2023

2019 conference paper

Customer satisfaction analysis based on service quality: Case of local credit provider in Bali

Journal of Physics: Conference Series, 1321(2).

By: N. Suciptawati*, N. Paramita* & I. Aristayasa*

Contributors: N. Suciptawati*, N. Paramita* & I. Aristayasa*

Source: ORCID
Added: April 18, 2023

Employment

Updated: July 18th, 2023 23:51

Binus University Jakarta, ID
Data Science Program, Computer Science Department

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