Suejit Pechprasarn

Suejit Pechprasarn

Rangsit University

H-index: 17

Asia-Thailand

About Suejit Pechprasarn

Suejit Pechprasarn, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at Rangsit University, specializes in the field of Physics, Optical physics, Medical optics, Biophotonics.

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

Identifying Critical Factors in Fetal Cancer-Related Deaths Using Machine Learning Models and Principal Components Analysis

Identification of Important Factors in the Diagnosis of Breast Cancer Cells Using Machine Learning Models and Principal Component Analysis

Identification of Crucial Factors in Sleep Quality Using Machine Learning Models and MRMR Feature Selection Technique

Predicting Parkinson's Disease Severity using Telemonitoring Data and Machine Learning Models: A Principal Component Analysis-based Approach for Remote Healthcare Services …

Machine Learning Models Using Data Mining for Biomass Production from Yarrowia lipolytica Fermentation

Feature Selection in the Classification of Erythemato-Squamous Diseases using Machine Learning Models and Principal Component Analysis

Ultra-Sensitivity Widefield, Confocal Surface Plasmon Interferometry Using Sequential Coding.

Using Machine Learning to Predict Heart Failure: Evaluating Model Performance on Clinical Data

Suejit Pechprasarn Information

University

Position

College of Biomedical Engineering

Citations(all)

1088

Citations(since 2020)

882

Cited By

476

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

22

i10Index(since 2020)

19

Email

University Profile Page

Rangsit University

Google Scholar

View Google Scholar Profile

Suejit Pechprasarn Skills & Research Interests

Physics

Optical physics

Medical optics

Biophotonics

Top articles of Suejit Pechprasarn

Title

Journal

Author(s)

Publication Date

Identifying Critical Factors in Fetal Cancer-Related Deaths Using Machine Learning Models and Principal Components Analysis

Lalita Manavibool

Phattranij Meepadung

Nanticha Supmool

Naravin Vechpanich

Piyaon Sapphaphab

...

2023/10/28

Identification of Important Factors in the Diagnosis of Breast Cancer Cells Using Machine Learning Models and Principal Component Analysis

Journal of Current Science and Technology

Suejit Pechprasarn

Ohmthong Wattanapermpool

Maninya Warunlawan

Pornchaya Homsud

Thumpussorn Akarajarasroj

2023/8/30

Identification of Crucial Factors in Sleep Quality Using Machine Learning Models and MRMR Feature Selection Technique

Maninya Warunlawan

Pornchaya Homsud

Piyaon Sapphaphab

Oraya Rinthon

Suejit Pechprasarn

2023/10/28

Predicting Parkinson's Disease Severity using Telemonitoring Data and Machine Learning Models: A Principal Component Analysis-based Approach for Remote Healthcare Services …

Journal of Current Science and Technology

Suejit Pechprasarn

Lalita Manavibool

Nanticha Supmool

Naravin Vechpanich

Phattranij Meepadung

2023/7/15

Machine Learning Models Using Data Mining for Biomass Production from Yarrowia lipolytica Fermentation

Fermentation

Nattha Pensupa

Treesukon Treebuppachartsakul

Suejit Pechprasarn

2023/3/1

Feature Selection in the Classification of Erythemato-Squamous Diseases using Machine Learning Models and Principal Component Analysis

Thumpussorn Akarajarasroj

Ohmthong Wattanapermpool

Piyaon Sapphaphab

Oraya Rinthon

Suejit Pechprasarn

...

2023/10/28

Ultra-Sensitivity Widefield, Confocal Surface Plasmon Interferometry Using Sequential Coding.

Suejit Pechprasarn

2023

Using Machine Learning to Predict Heart Failure: Evaluating Model Performance on Clinical Data

Peeraya Wetchasit

Patararin Phaisakamas

Suphornthip Pongsuwan

Piyaon Sapphaphab

Oraya Rinthon

...

2023/10/28

Principal Component Analysis and Machine Learning in Heart Disease Diagnosis: A Focus on Heart SPECT Parameter Reduction

Nichapa Srisaranon

Panpatchanan Yimluean

Supisara Bawornwongsatien

Piyaon Sapphaphab

Oraya Rinthon

...

2023/10/28

Enhancing protein trapping efficiency of graphene oxide-polybutylene succinate nanofiber membrane via molecular imprinting

Scientific Reports

Nuankanya Sathirapongsasuti

Anuchan Panaksri

Benjabhorn Jusain

Sani Boonyagul

Suejit Pechprasarn

...

2023/9/16

Cuff-less blood pressure prediction from ecg and ppg signals using Fourier transformation and amplitude randomization preprocessing for context aggregation network training

Biosensors

Treesukon Treebupachatsakul

Apivitch Boosamalee

Siratchakrit Shinnakerdchoke

Suejit Pechprasarn

Nuntachai Thongpance

2022/3/4

Gelatin-based microfluidic channel for quantitative E. coli detection using blue fluorescence of 4-methyl-umbelliferone product and a smartphone camera

IEEE Sensors Journal

Treesukon Treebupachatsakul

Chanin Lochotinunt

Thitirat Teechot

Nattha Pensupa

Suejit Pechprasarn

2022/5/18

Measurement precision enhancement of surface plasmon resonance based angular scanning detection using deep learning

Scientific Reports

Kitsada Thadson

Suvicha Sasivimolkul

Phitsini Suvarnaphaet

Sarinporn Visitsattapongse

Suejit Pechprasarn

2022/2/8

Analysis of deep learning-based phase retrieval algorithm performance for quantitative phase imaging microscopy

Sensors

Sarinporn Visitsattapongse

Kitsada Thadson

Suejit Pechprasarn

Nuntachai Thongpance

2022/5/6

Analysis of the surface plasmon resonance interferometric imaging performance of scanning confocal surface plasmon microscopy

Biomedical Optics Express

Sorawit Tontarawongsa

Sarinporn Visitsattapongse

Suejit Pechprasarn

2022/1/1

Identification of factors in the survival rate of heart failure patients using machine learning models and principal component analysis

Journal of Current Science and Technology

T Panyamit

P Sukvivatn

P Chanma

Y Kim

P Premratanachai

...

2022/5

Generalized figure of merit for plasmonic dip measurement-based surface plasmon resonance sensors

Biomedical Optics Express

Treesukon Treebupachatsakul

Apivitch Boosamalee

Kamejira Chaithatwanitch

Suejit Pechprasarn

2022/4/1

Classification model for predicting inflammation of the urinary bladder and acute nephritis of the renal pelvis

Chanin Lochotinunt

Suejit Pechprasarn

Treesukon Treebupachatsakul

2022/11/10

Performance Analysis of Machine Learning Models for Angular Interrogation of Surface Plasmon Resonance

Harshit Srivastava

Goutam Kumar Sahoo

Santos Kumar Das

Poonam Singh

2022/12/23

Performance Comparison for Different Neural Network Architectures for chest X-Ray Image Classification

Pinyada Rajadanuraks

Sarapom Suranuntchai

Suejit Pechprasarn

Treesukon Treebupachatsakul

2021/4/1

See List of Professors in Suejit Pechprasarn University(Rangsit University)