Arash Kia

ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Venues

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association

JMIR formative research

Journal of medical Internet research

JMIR AI

Mount Sinai Health System

Western University (MSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Mount Sinai Health System Mar 06 2017

United States

Clinical Data Science Lead :: Clinical Innovation

Remedy Partners Oct 01 2015 - Feb 01 2017

United States

Senior Data Scientist :: Data Science

University of Pennsylvania Health System Jan 04 2013 - Sep 28 2015

United States

Data Scientist :: CEQI

Education History

Western University Apr 01 2007 - Dec 17 2009

Canada

MSC :: Physiology and Pharmacology

Publications

Dhavalkumar Patel, Prem Timsina, Larisa Gorenstein, Benjamin Scott Glicksberg, Ganesh Raut, Satya Narayana Cheetirala, Fabio Santana, Jules Tamegue, Arash Kia, Eyal Zimlichman, Matthew A Levin, Robert M Freeman, Eyal Klang
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management. JMIR AI 3 (2024)
Prathamesh Parchure, Melanie Besculides, Serena Zhan, Fu-Yuan Cheng, Prem Timsina, Satya Narayana Cheertirala, Ilana Kersch, Sara Wilson, Robert Freeman, David Reich, Madhu Mazumdar, Arash Kia
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort. Journal of human nutrition and dietetics : the official journal of the British Dietetic Association 37 (3) (2024)
Pramathamesh Parchuri, Melanie Besculides, Serena Zhan, Fu-Yuan Cheng, Prem Timsina, Satya Narayana Cheertirala, Ilana Kersch, Sara Wilson, Robert Freeman, David Reich, Madhu Mazumdar, Arash Kia
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort. Journal of human nutrition and dietetics : the official journal of the British Dietetic Association (2024)
Prathamesh Parchure, Melanie Besculides, Serena Zhan, Fu-Yuan Cheng, Prem Timsina, Satya Narayana Cheertirala, Ilana Kersch, Sara Wilson, Robert Freeman, David Reich, Madhu Mazumdar, Arash Kia
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort. Journal of human nutrition and dietetics : the official journal of the British Dietetic Association 37 (3) (2024)
Kim-Anh-Nhi Nguyen, Pranai Tandon, Sahar Ghanavati, Satya Narayana Cheetirala, Prem Timsina, Robert M Freeman, David L Reich, Matthew A Levin, Madhu Mazumdar, Zahi Adel Fayad, Arash Kia
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation. JMIR formative research 7 (2023)
Melanie Besculides, Madhu Mazumdar, Sydney Phlegar, Robert M Freeman, Sara Wilson, Himanshu N Joshi, Arash Kia, Ksenia O Gorbenko
Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning-Based Clinical Decision Support Systems. JMIR formative research 7 (2023)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)

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Publication Activity (10 Years)

Top Topics

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Arash Kia