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Biodecolorization of azo dye Acid Blue 92 (AB92) by Ceratophyllum de-mersum L.: process optimization using Taguchi method and toxicity as-sessment

Acta agriculturae slovenica, 2023-06, Vol.119 (2)

2023

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Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot Study

Frontiers in oncology, 2021-03, Vol.11, p.604584

2021

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Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy

Frontiers in oncology, 2023-02, Vol.13, p.1064169-1064169

2023

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A Content Analysis of the Concepts and Images of the Physical Aging Primary School Textbooks in Iran

Sālmand. (Tihrān), 2018-07, Vol.13 (2), p.154-167

2018

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Clustering whole-exome sequences of breast cancer and associations with staging and molecular subtype

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.e12563-e12563

2023

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Machine learning and postoperative complications: Determining risk before surgery in patients with cancer

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.6575-6575

2023

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Representation of Aging in Elementary School Textbooks in Iran

Journal of cross-cultural gerontology, 2022-12, Vol.37 (4), p.393-406

2022

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Abstract 2089: Improving 30 day readmission prediction for hematological cancer patients via clinical embeddings

Cancer research (Chicago, Ill.), 2020-08, Vol.80 (16_Supplement), p.2089-2089

2020

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Dynamic 30-day readmission prediction for cancer patients via clinical embeddings

Journal of clinical oncology, 2020-05, Vol.38 (15_suppl), p.2040-2040

2020

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Abstract PS5-41: Machine learning model of gut microbiota predicts neratinib induced diarrhea in patients with breast cancer

Cancer research (Chicago, Ill.), 2021-02, Vol.81 (4_Supplement), p.PS5-41-PS5-41

2021

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Molecular Profiling of Innate Immune Response Mechanisms in Ventilator-associated Pneumonia

Molecular & cellular proteomics, 2020-10, Vol.19 (10), p.1688-1705

2020

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CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding

Artificial Intelligence in Medicine, p.367-372

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A Machine-Learning Sepsis Prediction Model for Patients Undergoing Hematopoietic Cell Transplantation

Blood, 2018-11, Vol.132 (Supplement 1), p.711-711

2018

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Alkanedisulfamic Acid Functionalized Silica-Coated Magnetic Nanoparticles: Preparation and Catalytic Investigation in Synthesis of Mono-, Bis- and Tris[bis(4-hydroxycoumarinyl)methanes]

Synthesis (Stuttgart), 2014-08, Vol.46 (23), p.3180-3184

2014

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Updated Analysis: Novel Machine-Learning-Based Sepsis Prediction Model for Patients Undergoing Hematopoietic Stem Cell Transplantation (Early Sepsis Prediction/Identification for Transplant Recipients: ESPRIT)

Blood, 2019-11, Vol.134 (Supplement_1), p.4477-4477

2019

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Explainable Tree-Based Predictions for Unplanned 30-Day Readmission of Patients With Cancer Using Clinical Embeddings

JCO clinical cancer informatics, 2021-02, Vol.5 (5), p.155-167

2021

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Preana: Game Theory Based Prediction with Reinforcement Learning

Natural science (Irvine, Calif.), 2014, Vol.6 (13), p.1108-1121

2014

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Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major Operations

JCO clinical cancer informatics, 2024-04, Vol.8 (8), p.e2300247

2024

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Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive Surgery

JAMA network open, 2022-05, Vol.5 (5), p.e2212930-e2212930

2022

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Molecular Profiling of Innate Immune Response Mechanisms in Ventilator-associated Pneumonia

Molecular & cellular proteomics, 2020-10, Vol.19 (10), p.1688

2020

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CI-VAE: a Generative Deep Learning Model for Class-Specific Data Interpolation

2024 IEEE Conference on Artificial Intelligence (CAI), 2024, p.313-319

2024

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Preana: Game theory based prediction with reinforcement learning

Eftekhari, Zahra

2014

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A Dynamic Machine-Learning Based Prediction Model for Sepsis in Patients Undergoing Hematopoietic Stem Cell Transplantation

Biology of blood and marrow transplantation, 2018-03, Vol.24 (3), p.S373-S374

2018

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541 - A Dynamic Machine-Learning Based Prediction Model for Sepsis in Patients Undergoing Hematopoietic Stem Cell Transplantation

Biology of blood and marrow transplantation, 2018-03, Vol.24 (3), p.S373-S374

2018

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Immunocapture Loop Mediated Isothermal Amplification for Rapid Detection of Tomato Yellow Leaf curl Virus (TYLCV) without DNA Extraction

Journal of Plant Pathology & Microbiology, 2013, Vol.4 (7)

Dehabadi, Seyedmohammad Hosseyni

2013

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Biodecolorization of azo dye Acid Blue 92 (AB92) by Ceratophyllum de-mersum L.: process optimization using Taguchi method and toxicity as-sessment

Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot Study

Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy

A Content Analysis of the Concepts and Images of the Physical Aging Primary School Textbooks in Iran

Clustering whole-exome sequences of breast cancer and associations with staging and molecular subtype

Machine learning and postoperative complications: Determining risk before surgery in patients with cancer

Representation of Aging in Elementary School Textbooks in Iran

Abstract 2089: Improving 30 day readmission prediction for hematological cancer patients via clinical embeddings

Dynamic 30-day readmission prediction for cancer patients via clinical embeddings

Abstract PS5-41: Machine learning model of gut microbiota predicts neratinib induced diarrhea in patients with breast cancer

Molecular Profiling of Innate Immune Response Mechanisms in Ventilator-associated Pneumonia

CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding

A Machine-Learning Sepsis Prediction Model for Patients Undergoing Hematopoietic Cell Transplantation

Alkanedisulfamic Acid Functionalized Silica-Coated Magnetic Nanoparticles: Preparation and Catalytic Investigation in Synthesis of Mono-, Bis- and Tris[bis(4-hydroxycoumarinyl)methanes]

Updated Analysis: Novel Machine-Learning-Based Sepsis Prediction Model for Patients Undergoing Hematopoietic Stem Cell Transplantation (Early Sepsis Prediction/Identification for Transplant Recipients: ESPRIT)

Explainable Tree-Based Predictions for Unplanned 30-Day Readmission of Patients With Cancer Using Clinical Embeddings

Preana: Game Theory Based Prediction with Reinforcement Learning

Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major Operations

Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive Surgery

Molecular Profiling of Innate Immune Response Mechanisms in Ventilator-associated Pneumonia

CI-VAE: a Generative Deep Learning Model for Class-Specific Data Interpolation

Preana: Game theory based prediction with reinforcement learning

A Dynamic Machine-Learning Based Prediction Model for Sepsis in Patients Undergoing Hematopoietic Stem Cell Transplantation

541 - A Dynamic Machine-Learning Based Prediction Model for Sepsis in Patients Undergoing Hematopoietic Stem Cell Transplantation

Immunocapture Loop Mediated Isothermal Amplification for Rapid Detection of Tomato Yellow Leaf curl Virus (TYLCV) without DNA Extraction

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