Alireza Rafiei

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Tandem Mass Spectrometry

Intensive Care Unit

Automated Detection

Top Venues

Comput. Biol. Medicine

Publications

Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran
Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients. CoRR (2024)
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. AIME (1) (2024)
Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, Rishikesan Kamaleswaran
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit. Comput. Biol. Medicine 168 (2024)
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. CoRR (2024)
Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran
Meta-learning in healthcare: A survey. CoRR (2023)
Alireza Rafiei, Rasoul Zahedifar, Chiranjibi Sitaula, Faezeh Marzbanrad
Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning. IEEE Access 10 (2022)
Alireza Rafiei, Yu-Kai Wang
Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion. SSCI (2022)
Alireza Rafiei, Alireza Rezaee, Farshid Hajati, Soheila Gheisari, S. Mojtaba Golzan
SSP: Early prediction of sepsis using fully connected LSTM-CNN model. Comput. Biol. Medicine 128 (2021)
Zahra Yazdani, Alireza Rafiei, Reza Valadan, Hossein Ashrafi, MarziehSharifi Pasandi, Mostafa Kardan
Designing a potent L1 protein-based HPV peptide vaccine: A bioinformatics approach. Comput. Biol. Chem. 85 (2020)