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Article: A Novel Cuffless Blood Pressure Prediction: Uncovering New Features and New Hybrid ML Models.

Nour, Majid / Polat, Kemal / Şentürk, Ümit / Arıcan, Murat

2023 Volume 13, Issue 7

Abstract: This paper investigates new feature extraction and regression methods for predicting cuffless blood pressure from PPG signals. Cuffless blood pressure is a technology that measures blood pressure without needing a cuff. This technology can be used in ... ...

Abstract	This paper investigates new feature extraction and regression methods for predicting cuffless blood pressure from PPG signals. Cuffless blood pressure is a technology that measures blood pressure without needing a cuff. This technology can be used in various medical applications, including home health monitoring, clinical uses, and portable devices. The new feature extraction method involves extracting meaningful features (time and chaotic features) from the PPG signals in the prediction of systolic blood pressure (SBP) and diastolic blood pressure (DBP) values. These extracted features are then used as inputs to regression models, which are used to predict cuffless blood pressure. The regression model performances were evaluated using root mean squared error (RMSE), R
Language	English
Publishing date	2023-03-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics13071278
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN.

Nour, Majid / Senturk, Umit / Polat, Kemal

Computers in biology and medicine

2023 Volume 161, Page(s) 107031

Abstract: In this paper, we proposed a novel approach to diagnose and classify Parkinson's Disease (PD) using ensemble learning and 1D-PDCovNN, a novel deep learning technique. PD is a neurodegenerative disorder; early detection and correct classification are ... ...

Abstract	In this paper, we proposed a novel approach to diagnose and classify Parkinson's Disease (PD) using ensemble learning and 1D-PDCovNN, a novel deep learning technique. PD is a neurodegenerative disorder; early detection and correct classification are essential for better disease management. The primary aim of this study is to develop a robust approach to diagnosing and classifying PD using EEG signals. As the dataset, we have used the San Diego Resting State EEG dataset to evaluate our proposed method. The proposed method mainly consists of three stages. In the first stage, the Independent Component Analysis (ICA) method has been used as the pre-processing method to filter out the blink noises from the EEG signals. Also, the effect of the band showing motor cortex activity in the 7-30 Hz frequency band of EEG signals in diagnosing and classifying Parkinson's disease from EEG signals has been investigated. In the second stage, the Common Spatial Pattern (CSP) method has been used as the feature extraction to extract useful information from EEG signals. Finally, an ensemble learning approach, Dynamic Classifier Selection (DCS) in Modified Local Accuracy (MLA), has been employed in the third stage, consisting of seven different classifiers. As the classifier method, DCS in MLA, XGBoost, and 1D-PDCovNN classifier has been used to classify the EEG signals as the PD and healthy control (HC). We first used dynamic classifier selection to diagnose and classify Parkinson's disease (PD) from EEG signals, and promising results have been obtained. The performance of the proposed approach has been evaluated using the classification accuracy, F-1 score, kappa score, Jaccard score, ROC curve, recall, and precision values in the classification of PD with the proposed models. In the classification of PD, the combination of DCS in MLA achieved an accuracy of 99,31%. The results of this study demonstrate that the proposed approach can be used as a reliable tool for early diagnosis and classification of PD.
MeSH term(s)	Humans ; Electroencephalography/methods ; Parkinson Disease/diagnosis ; Algorithms ; Support Vector Machine ; Cerebral Cortex
Language	English
Publishing date	2023-05-17
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2023.107031
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Article ; Online: A Novel Cuffless Blood Pressure Prediction

Majid Nour / Kemal Polat / Ümit Şentürk / Murat Arıcan

Diagnostics, Vol 13, Iss 1278, p

Uncovering New Features and New Hybrid ML Models

2023 Volume 1278

Abstract	This paper investigates new feature extraction and regression methods for predicting cuffless blood pressure from PPG signals. Cuffless blood pressure is a technology that measures blood pressure without needing a cuff. This technology can be used in various medical applications, including home health monitoring, clinical uses, and portable devices. The new feature extraction method involves extracting meaningful features (time and chaotic features) from the PPG signals in the prediction of systolic blood pressure (SBP) and diastolic blood pressure (DBP) values. These extracted features are then used as inputs to regression models, which are used to predict cuffless blood pressure. The regression model performances were evaluated using root mean squared error (RMSE), R 2 , mean square error (MSE), and the mean absolute error (MAE). The obtained RMSE was 4.277 for systolic blood pressure (SBP) values using the Matérn 5/2 Gaussian process regression model. The obtained RMSE was 2.303 for diastolic blood pressure (DBP) values using the rational quadratic Gaussian process regression model. The results of this study have shown that the proposed feature extraction and regression models can predict cuffless blood pressure with reasonable accuracy. This study provides a novel approach for predicting cuffless blood pressure and can be used to develop more accurate models in the future.
Keywords	hypertension ; PPG ; blood pressure prediction ; cuffless blood pressure ; regression ; more accurate models ; Medicine (General) ; R5-920
Subject code	519
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Cataract extraction after inadvertent Nd:YAG laser capsulotomy in a phakic eye

Majid Moshirfar / Alyson N Tukan / Nour Bundogji

SAGE Open Medical Case Reports, Vol

2022 Volume 10

Abstract: Inadvertent neodymium: yttrium–aluminum–garnet (Nd:YAG) capsulotomies are rare, with only one incident reported in the literature prior to the present case. We discuss the management of a phakic patient with a dense posterior subcapsular cataract who ... ...

Abstract	Inadvertent neodymium: yttrium–aluminum–garnet (Nd:YAG) capsulotomies are rare, with only one incident reported in the literature prior to the present case. We discuss the management of a phakic patient with a dense posterior subcapsular cataract who underwent yttrium–aluminum–garnet (YAG) capsulotomy for presumed posterior capsular opacification. Operative course involved cataract surgery with anterior vitrectomy for prolapsed lens fragments due to the disrupted posterior capsule. This patient experienced excellent visual outcomes postoperatively, with ultimate best-corrected visual acuity of 20/20. This case underscores the importance of thorough preoperative time out, including confirmation of patient’s understanding of the intended procedure.
Keywords	Medicine (General) ; R5-920
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
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Article ; Online: Virulence Genes and Biofilm Formation Among Legionella pneumophila Isolates Collected from Hospital Water Sources.

Hayatimehr, Sara / Mirkalantari, Shiva / Amirmozafari, Nour / Jazi, Faramarz Masjedian / Moghadam, Majid Taati

Current microbiology

2024 Volume 81, Issue 6, Page(s) 141

Abstract: Legionella pneumophila can be transmitted to people, especially immunocompromised patients, via hospital water pipe systems and cause severe pneumonia. The aim of our study was to investigate the presence of major virulence factor genes, ability of ... ...

Abstract	Legionella pneumophila can be transmitted to people, especially immunocompromised patients, via hospital water pipe systems and cause severe pneumonia. The aim of our study was to investigate the presence of major virulence factor genes, ability of biofilms formation, and correlation between presence of Legionella isolates and temperature, pH, and residual chlorine of water. Hundred water samples were collected from nine hospitals in Tehran, Iran. Temperature, pH, and residual chlorine were determined during sampling. Different virulence genes and the ability to form biofilms were subsequently analyzed among the L. pneumophila isolates. Results showed that 12 (12%) samples were positive in culture method and all of the isolates were positive as L. pneumophila species (mip). A correlation was found between Legionella culture positivity and temperature and pH of water, but there was no significant correlation between residual chlorine of water samples and the presence of Legionella. The isolation of Legionella rate in summer and spring was higher than winter and autumn. Twelve (100%) isolates were positive for mip genes, 9 (75%) for dot genes, 8 (66.66%) for hsp, 6 (50%) for lvh, and 4 (33.33%) for rtx. All of the isolates displayed strong ability for biofilm production every three days. Two of these isolates (16.6%) displayed weak ability to form biofilm on the first day of incubation. This study revealed that water sources in hospitals were colonized by virulent Legionella and should be continuously monitored to avoid elevated concentrations of Legionella with visible biofilm formation.
MeSH term(s)	Humans ; Legionella pneumophila/genetics ; Virulence/genetics ; Chlorine/pharmacology ; Iran ; Legionella ; Biofilms ; Hospitals
Chemical Substances	Chlorine (4R7X1O2820)
Language	English
Publishing date	2024-04-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	134238-1
ISSN	1432-0991 ; 0343-8651
ISSN (online)	1432-0991
ISSN	0343-8651
DOI	10.1007/s00284-023-03609-1
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Zs.A 1446: Show issues

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Article ; Online: Development and piloting of One Health curriculum in Jordan.

Abutarbush, Sameeh M / Alsawalha, Lora / Hamdallah, Alaa / Hawawsheh, Majid / Mahrous, Heba / Elizz, Nour Abu

Open veterinary journal

2024 Volume 14, Issue 3, Page(s) 919–925

Abstract: Background: In Jordan, several steps have been done to implement One Health (OH) approach. To increase the awareness for OH concept and approach among health professionals, there was an apparent need to develop an OH curriculum or package to orientate ... ...

Abstract	Background: In Jordan, several steps have been done to implement One Health (OH) approach. To increase the awareness for OH concept and approach among health professionals, there was an apparent need to develop an OH curriculum or package to orientate human, animal, and environmental health officials and professionals. Aim: The aim of this study was to describe the development and piloting of a OH curriculum for human, animal, and environmental officials and professionals in Jordan. Methods: OH curriculum was developed and consisted of four chapters/sections, each of which contained series of power point presentations that covered subject thoroughly and met the learning objectives for each section. Four day workshops on OH curriculum were done for four cohorts of participants from different OH partners. Each section started and ended with a quick knowledge assessment consisting of multiple choice questions (MCQs) (pre- and post-chapter). Comparison of the pre- and post-chapter knowledge assessment scores/results were used to assess gain of knowledge after each section of OH curriculum was completed. The scores of correct answers were compared within the different cohorts using Pearson's chi-square test with Results: Of the total attendance, pre- and post- training quizzes were scored for 102 participants (816 quizzes). Pre-training scores for the different cohorts ranged from 29% to 36%, while post-training scores for the different cohorts ranged from 80% to 87%. Post-training correct answers scores were significantly higher than those were for pre-training scores for the different cohorts ( Conclusion: The developed OH curriculum improved different OH partners and officials understanding of the OH concept and approach.
MeSH term(s)	Jordan ; Curriculum ; Humans ; One Health ; Pilot Projects ; Education, Veterinary
Language	English
Publishing date	2024-03-31
Publishing country	Libya
Document type	Journal Article
ZDB-ID	2651664-0
ISSN	2218-6050 ; 2218-6050
ISSN (online)	2218-6050
ISSN	2218-6050
DOI	10.5455/OVJ.2024.v14.i3.20
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Article ; Online: SMILE, CLEAR, SILK: It's Time for a Common Term.

Moshirfar, Majid / Tuttle, Jared J / Stoakes, Isabella M / Bundogji, Nour / Hoopes, Phillip C

Journal of refractive surgery (Thorofare, N.J. : 1995)

2023 Volume 39, Issue 8, Page(s) 575

Language	English
Publishing date	2023-08-01
Publishing country	United States
Document type	Letter
ZDB-ID	1264796-2
ISSN	1938-2391 ; 0883-0444 ; 1081-597X ; 1081-0803
ISSN (online)	1938-2391
ISSN	0883-0444 ; 1081-597X ; 1081-0803
DOI	10.3928/1081597X-20230711-01
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Zs.A 3248: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 289: Show issues

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Article ; Online: Parkinson disease classification using one against all based data sampling with the acoustic features from the speech signals.

Polat, Kemal / Nour, Majid

Medical hypotheses

2020 Volume 140, Page(s) 109678

Abstract: Parkinson's disease (PD) is a long-term degenerative disease that primarily affects the motor system of the central nervous system. This disease is difficult to diagnose and is one of the common diseases in the public. In this paper, we have proposed a ... ...

Abstract	Parkinson's disease (PD) is a long-term degenerative disease that primarily affects the motor system of the central nervous system. This disease is difficult to diagnose and is one of the common diseases in the public. In this paper, we have proposed a novel data sampling method for the classification of Parkinson disease based on the acoustic features from the speech signals. In the proposed data sampling method, the one against all (OGA) has been used to divide the dataset into five equal parts. With applying the OGA to the PD dataset having two classes (healthy and Parkinson disease), the minority and majority classes have been obtained. First of all, for healthy class in the dataset (first case), five equal partitions have been composed and then for PD class in the dataset (second case), five equal partitions have been composed. To classify the these all data partitions, we have used three different classifiers including the weighted k-NN (nearest neighbor), Logistic Regression (LR), and support vector machine with medium Gaussian kernel function. In order to evaluate the performance of the proposed hybrid models (the combination of classifiers and OGA based data sampling), the classification accuracy, the confusion matrix, and area under the Receiver Operating Characteristic (ROC) curve (AUC) have been used. While the LR, SVM with Gaussian, and weighted k-NN classifiers achieved the classification accuracies of 77.50%, 83.80%, and 82.10% in the classification of PD with the acoustic features, the combinations of classifiers and OGA based data sampling (first case) obtained the 79.04%, 87.36%, and 88.48% using the LR, SVM with Gaussian, and weighted k-NN classifiers, respectively. In the second case, the obtained classification accuracies are the 84.30%, 88.76%, and 89.46% using the LR, SVM with Gaussian, and weighted k-NN classifiers with the OGA based data sampling, respectively. The achieved results have shown that the proposed the one against all (OGA) based data sampling could be used in the combination of classifier algorithms as the data pre-processing method in the classification of Parkinson's disease with acoustic features.
Language	English
Publishing date	2020-03-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	193145-3
ISSN	1532-2777 ; 0306-9877
ISSN (online)	1532-2777
ISSN	0306-9877
DOI	10.1016/j.mehy.2020.109678
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Zs.A 1132: Show issues

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Article: Cataract extraction after inadvertent Nd:YAG laser capsulotomy in a phakic eye.

Moshirfar, Majid / Tukan, Alyson N / Bundogji, Nour

SAGE open medical case reports

2022 Volume 10, Page(s) 2050313X221097775

Abstract: Inadvertent neodymium: yttrium-aluminum-garnet (Nd:YAG) capsulotomies are rare, with only one incident reported in the literature prior to the present case. We discuss the management of a phakic patient with a dense posterior subcapsular cataract who ... ...

Abstract	Inadvertent neodymium: yttrium-aluminum-garnet (Nd:YAG) capsulotomies are rare, with only one incident reported in the literature prior to the present case. We discuss the management of a phakic patient with a dense posterior subcapsular cataract who underwent yttrium-aluminum-garnet (YAG) capsulotomy for presumed posterior capsular opacification. Operative course involved cataract surgery with anterior vitrectomy for prolapsed lens fragments due to the disrupted posterior capsule. This patient experienced excellent visual outcomes postoperatively, with ultimate best-corrected visual acuity of 20/20. This case underscores the importance of thorough preoperative time out, including confirmation of patient's understanding of the intended procedure.
Language	English
Publishing date	2022-05-18
Publishing country	England
Document type	Case Reports
ZDB-ID	2736953-5
ISSN	2050-313X
ISSN	2050-313X
DOI	10.1177/2050313X221097775
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Article ; Online: Post-LASIK corneal epithelial irregularities October consultation #1.

Moshirfar, Majid / Bundogji, Nour

Journal of cataract and refractive surgery

2021 Volume 47, Issue 10, Page(s) 1377

Abstract: A 55-year-old man with a history of bilateral laser-assisted in situ keratomileusis (LASIK) and subsequent enhancement over 15 years ago presented to our facility to investigate refractive surgery options. The patient reported progressive blurring and ... ...

Abstract	A 55-year-old man with a history of bilateral laser-assisted in situ keratomileusis (LASIK) and subsequent enhancement over 15 years ago presented to our facility to investigate refractive surgery options. The patient reported progressive blurring and fluctuation of vision and desired independence from contact lenses and spectacles. Uncorrected distance visual acuity (UDVA) was 20/30 -2.0 in the right eye and 20/400 in the left eye, corrected to 20/60 in the left eye. Manifest refraction was +0.75 -1.75 × 180 diopters (D) in the right eye and -3.50 -3.50 × 64 D in the left eye. Keratometry readings were 43.9/41.1 @ 25 in the right eye and 49.3/46.8 @ 2 in the left eye. On slitlamp examination, the patient showed diffuse subepithelial fibrosis and confluent circumferential elevation, respecting the LASIK flap margin and extending centrally into the visual axis (Figure 1JOURNAL/jcrs/04.03/02158034-202110000-00025/figure1/v/2021-09-20T141830Z/r/image-tiff). Fluorescein pooling was also observed. Anterior segment ocular coherence tomography (OCT) demonstrated subepithelial hyperreflective density in the left eye (Figure 2JOURNAL/jcrs/04.03/02158034-202110000-00025/figure2/v/2021-09-20T141830Z/r/image-tiff). Pentacam showed irregularity and inferior steepening up to 52.0 D (Figure 3JOURNAL/jcrs/04.03/02158034-202110000-00025/figure3/v/2021-09-20T141830Z/r/image-tiff). A review of the patient's records from 4 years ago revealed UDVA of 20/30 -2 in the right eye and 20/20 in the left eye with manifest refraction of +1.00 -1.50 × 30 D in the right eye and -0.25 D in the left eye. Keratometry then showed 39.52/40.91 @ 98 in the right eye and 39.85/40.42 @ 75 in the left eye. Patient's slitlamp examination revealed minimal subepithelial irregularity without endothelial changes in both eyes. At current presentation, the patient was not deemed a candidate for further refractive surgery given a low residual stromal bed after original LASIK with enhancement. The patient was seeking help and advice for his declining vision. What is the most likely diagnosis, and what other conditions are on your differential? What would be your next step? Would you request additional diagnostic workup? What medical and surgical interventions would you recommend?
MeSH term(s)	Cornea ; Corneal Topography ; Humans ; Keratomileusis, Laser In Situ ; Male ; Middle Aged ; Referral and Consultation ; Refraction, Ocular ; Vision Disorders ; Visual Acuity
Language	English
Publishing date	2021-09-01
Publishing country	United States
Document type	Case Reports ; Journal Article ; Review
ZDB-ID	632744-8
ISSN	1873-4502 ; 0886-3350
ISSN (online)	1873-4502
ISSN	0886-3350
DOI	10.1097/j.jcrs.0000000000000799
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