Arash Kia

Universitas Kristen Indonesia — ID

Computer Science · Physical Sciences

16h-index1.8kcitations57works4.12yr avg
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Research Topics

Machine Learning in Healthcare(13), COVID-19 Clinical Research Studies(10), Nutrition and Health in Aging(8), COVID-19 diagnosis using AI(8), Frailty in Older Adults(7)

Publications57 total

Exploring Named Entity Recognition Potential and the Value of Tailored Natural Language Processing Pipelines for Radiology, Pathology, and Progress Notes in Clinical Decision Support: Quantitative Study
JMIR AI·2025Open Access
Machine Learning‐Based Flap Takeback Prediction Modeling: Theory for a Real‐Time, Patient‐Specific Postoperative Flap Monitoring and Alert System
Microsurgery·2025
Counseling and Training: Transformation of Higher Education through Outcome Based Education (OBE) Curriculum Development at STT Arastamar Wamena
Asian Journal of Community Services·2025Open Access
Impact of a Real-Time Ventilator Management Dashboard With Alerts
CHEST Critical Care·2025· 2 citedOpen Access
Machine Learning Multimodal Model for Delirium Risk Stratification
JAMA Network Open·2025· 5 citedOpen Access
Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation
Journal of Clinical Medicine·2025· 3 citedOpen Access
Biases in Artificial Intelligence Application in Pain Medicine
Journal of Pain Research·2025· 9 citedOpen Access
Development and Validation of Natural Language Processing (NLP)‐Based Risk Prediction Model for Cognitive Impairment in Geriatric Patients
Alzheimer s & Dementia·2024Open Access
Development and Validation of Natural Language Processing (NLP)‐Based Risk Prediction Model for Cognitive Impairment in Geriatric Patients
Alzheimer s & Dementia·2024Open Access
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·2024· 13 citedOpen Access
Fairness in Predicting Cancer Mortality Across Racial Subgroups
JAMA Network Open·2024· 10 citedOpen Access
Speech markers of depression dimensions across cognitive status
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring·2024Open Access
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation
Bioengineering·2024· 1 citedOpen Access
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system
npj Digital Medicine·2024· 14 citedOpen Access
Exploring Named Entity Recognition Potential and the Value of Tailored Natural Language Processing Pipelines for Radiology, Pathology, and Progress Notes in Clinical Decision Support: Quantitative Study (Preprint)
2024
Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial*
Critical Care Medicine·2024· 13 cited
Malnutrition risk assessment using a machine learning‐based screening tool: A multicentre retrospective cohort
Journal of Human Nutrition and Dietetics·2024· 4 citedOpen Access
Author response for "Malnutrition risk assessment using a machine learning‐based screening tool: A multicentre retrospective cohort"
2024
360: A DEEP LEARNING MODEL USING CHEST X-RAYS TO PREDICT REINTUBATION RISK IN CRITICAL CARE
Critical Care Medicine·2023
Author response for "Malnutrition risk assessment using a machine learning‐based screening tool: A multicentre retrospective cohort"
2023
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Frequent Co-authors

Prem Timsina(30), Robert Freeman(28), Matthew A. Levin(25), David L. Reich(19), Madhu Mazumdar(17), Prathamesh Parchure(12), Benjamin S. Glicksberg(11), Fu-Yuan Cheng(11), Girish N. Nadkarni(10), Zahi A. Fayad(10), Alexander W. Charney(8), Anuradha Lala(7), Carlos Cordon‐Cardo(7), Roopa Kohli‐Seth(7), Valentı́n Fuster(7), Akhil Vaid(7), Erwin P. Böttinger(7), Eyal Klang(7), Emilia Bagiella(6), Sulaiman Somani(6)