Toktam Dehghani

About Toktam Dehghani

Toktam Dehghani, With an exceptional h-index of 5 and a recent h-index of 3 (since 2020), a distinguished researcher at Ferdowsi University of Mashhad, specializes in the field of Medical information, NGS data analysis, Data-mining on high dimensional data, Computational Biology.

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

A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department

Early prediction of medical students' performance in high-stakes examinations using machine learning approaches

Pregnant Women With Malignant Ovarian Tumors: A Case Series

Prediction of medical sciences students’ performance on high-stakes examinations using machine learning models: a protocol for a systematic review

Ensemble Machine Learning Models for Evaluation of Sperm Quality with Respect to Success Rate of Clinical Pregnancy in IVF, ICSI, and IUI Methods

What if We Replace Pass/Fail Grading with Decision Making by Machine? Toward Competency-based Medical Education

Protocol: Prediction of medical sciences students’ performance on high-stakes examinations using machine learning models: a protocol for a systematic review

Deep Learning on Ultrasound Images of Thyroid Nodules

Toktam Dehghani Information

University

Position

Ph.D. of Computer Engineering Iran.

Citations(all)

83

Citations(since 2020)

53

Cited By

33

hIndex(all)

5

hIndex(since 2020)

3

i10Index(all)

3

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Toktam Dehghani Skills & Research Interests

Medical information

NGS data analysis

Data-mining on high dimensional data

Computational Biology

Top articles of Toktam Dehghani

A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department

Scientific Reports

2024/2/10

Early prediction of medical students' performance in high-stakes examinations using machine learning approaches

Heliyon

2023/7/1

Pregnant Women With Malignant Ovarian Tumors: A Case Series

Acta Medica Iranica

2023/5/14

Toktam Dehghani
Toktam Dehghani

H-Index: 3

Zohreh Yousefi
Zohreh Yousefi

H-Index: 12

Prediction of medical sciences students’ performance on high-stakes examinations using machine learning models: a protocol for a systematic review

2023/5/1

Ensemble Machine Learning Models for Evaluation of Sperm Quality with Respect to Success Rate of Clinical Pregnancy in IVF, ICSI, and IUI Methods

2023/2/7

What if We Replace Pass/Fail Grading with Decision Making by Machine? Toward Competency-based Medical Education

Shiraz E-Medical Journal

2023/1/31

Toktam Dehghani
Toktam Dehghani

H-Index: 3

Saeid Eslami
Saeid Eslami

H-Index: 28

Protocol: Prediction of medical sciences students’ performance on high-stakes examinations using machine learning models: a protocol for a systematic review

2023

Deep Learning on Ultrasound Images of Thyroid Nodules

2021/4/1

See List of Professors in Toktam Dehghani University(Ferdowsi University of Mashhad)

Co-Authors

academic-engine