Amin Naemi

About Amin Naemi

Amin Naemi, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Syddansk Universitet, specializes in the field of Machine Learning, Healthcare Informatics, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

Monkeypox detection using deep neural networks

Application of machine learning techniques for predicting survival in ovarian cancer

Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods

Predictive Models for Identifying Clinical Deterioration

Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models

Modeling and evaluating the impact of social restrictions on the spread of COVID-19 using machine learning

Quantifying the impact of addressing data challenges in prediction of length of stay

Amin Naemi Information

University

Position

___

Citations(all)

84

Citations(since 2020)

83

Cited By

1

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Amin Naemi Skills & Research Interests

Machine Learning

Healthcare Informatics

Signal Processing

Top articles of Amin Naemi

Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

Scientific Reports

2024/1/29

Monkeypox detection using deep neural networks

BMC Infectious Diseases

2023/6/27

Application of machine learning techniques for predicting survival in ovarian cancer

BMC medical informatics and decision making

2022/12/30

Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods

BMC Medical Informatics and Decision Making

2022/11/23

Predictive Models for Identifying Clinical Deterioration

2022/5/9

Amin Naemi
Amin Naemi

H-Index: 1

Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models

2022/2/25

Modeling and evaluating the impact of social restrictions on the spread of COVID-19 using machine learning

2022/2/25

Quantifying the impact of addressing data challenges in prediction of length of stay

BMC Medical Informatics and Decision Making

2021/12

Predicting the risk of alcohol use disorder using machine learning: a systematic literature review

2021/11/8

Machine learning techniques for mortality prediction in emergency departments: a systematic review

2021/11/1

Analysis of comorbidities of alcohol use disorder

2021/9/5

Prediction of length of stay using vital signs at the admission time in emergency departments

2021/6/6

Deep Neural Network to Identify Patients with Alcohol Use Disorder.

Studies in health technology and informatics

2021/5/27

Informal-to-formal word conversion for persian language using natural language processing techniques

2021/5/20

Prediction of Patients Severity at Emergency Department Using NARX and Ensemble Learning

2020/12/16

Personalized predictive models for identifying clinical deterioration using LSTM in emergency departments

Integrated Citizen Centered Digital Health and Social Care

2020/11/23

See List of Professors in Amin Naemi University(Syddansk Universitet)