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Article ; Online: Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach.

Dey, Samrat K / Rahman, Md Mahbubur / Siddiqi, Umme R / Howlader, Arpita

2020 Volume 92, Issue 6, Page(s) 632–638

Abstract: There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel coronavirus (2019-nCoV) as a worldwide public health threat. As the outbreak of COVID-19 causes by the severe acute respiratory syndrome coronavirus 2 (SARS- ...

Abstract	There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel coronavirus (2019-nCoV) as a worldwide public health threat. As the outbreak of COVID-19 causes by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) progresses within China and beyond, rapidly available epidemiological data are needed to guide strategies for situational awareness and intervention. The recent outbreak of pneumonia in Wuhan, China, caused by the SARS-CoV-2 emphasizes the importance of analyzing the epidemiological data of this novel virus and predicting their risks of infecting people all around the globe. In this study, we present an effort to compile and analyze epidemiological outbreak information on COVID-19 based on the several open datasets on 2019-nCoV provided by the Johns Hopkins University, World Health Organization, Chinese Center for Disease Control and Prevention, National Health Commission, and DXY. An exploratory data analysis with visualizations has been made to understand the number of different cases reported (confirmed, death, and recovered) in different provinces of China and outside of China. Overall, at the outset of an outbreak like this, it is highly important to readily provide information to begin the evaluation necessary to understand the risks and begin containment activities.
MeSH term(s)	Algorithms ; Betacoronavirus/pathogenicity ; COVID-19 ; Computer Graphics ; Convalescence ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Databases, Factual ; Datasets as Topic ; Health Knowledge, Attitudes, Practice ; Humans ; International Cooperation ; Pandemics/prevention & control ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Public Health/statistics & numerical data ; SARS-CoV-2 ; Survival Analysis
Keywords	covid19
Language	English
Publishing date	2020-03-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	752392-0
ISSN	1096-9071 ; 0146-6615
ISSN (online)	1096-9071
ISSN	0146-6615
DOI	10.1002/jmv.25743
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Chi2-MI

Samrat Kumar Dey / Khandaker Mohammad Mohi Uddin / Hafiz Md. Hasan Babu / Md. Mahbubur Rahman / Arpita Howlader / K.M. Aslam Uddin

Intelligent Systems with Applications, Vol 16, Iss , Pp 200144- (2022)

A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease

2022

Abstract: Early detection and characterization are considered crucial in treating and controlling the chronic renal disease. Because of the rising number of patients, the high risk of progression to end-stage renal disease, and the poor prognosis of morbidity and ... ...

Abstract	Early detection and characterization are considered crucial in treating and controlling the chronic renal disease. Because of the rising number of patients, the high risk of progression to end-stage renal disease, and the poor prognosis of morbidity and mortality, chronic kidney disease (CKD) is a significant burden on the healthcare system. Detecting CKD in its early stages is critical for saving millions of lives. The uniqueness of this study lies in developing a diagnosis system to detect chronic kidney disease using different Machine Learning (ML) algorithms with the support of a hybrid feature selection approach. This study exploited the 400 clinical data of CKD patients based on the dataset supplied by the University of California Irvine (UCI) available at their Machine Learning repository. Different data preparation techniques like encoding categorical features, missing values imputation, removing outlier factors, handling data imbalance, scaling data at the same level, and selecting relevant features are adopted to prepare the dataset for the prediction model. A hybrid Chi-squared test (Chi2) and Mutual Information (MI) based feature selection approach is proposed to remove redundant features, and a Pearson correlation matrix is also computed to consider the top important features for the prediction. Lastly, the Extra tress classifier can diagnose CKD with 98% accuracy and a 2% true negative rate without data leakage out of 14 machine learning models. On the other hand, the Bagging classifier performed worst with only 60% accuracy.
Keywords	Machine learning ; CKD ; Classification ; Feature selection ; Healthcare informatics ; Cybernetics ; Q300-390 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Analyzing the epidemiological outbreak of COVID‐19

Dey, Samrat K. / Rahman, Md. Mahbubur / Siddiqi, Umme R. / Howlader, Arpita

Journal of Medical Virology

A visual exploratory data analysis approach

2020 Volume 92, Issue 6, Page(s) 632–638

Keywords	Virology ; Infectious Diseases ; covid19
Language	English
Publisher	Wiley
Publishing country	us
Document type	Article ; Online
ZDB-ID	752392-0
ISSN	1096-9071 ; 0146-6615
ISSN (online)	1096-9071
ISSN	0146-6615
DOI	10.1002/jmv.25743
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A CMOS Front-End Interface ASIC for SiPM-based Positron Emission Tomography Imaging Systems.

Dey, Samrat / Rudell, Jacques C / Lewellen, Thomas K / Miyaoka, Robert S

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference

2018 Volume 2017

Abstract: A current-mode interface chip for Silicon Photomultiplier (SiPM) array based positron emission tomography (PET) imaging front-ends is described. The circuit uses a high-speed current amplifier with a low input impedance, to minimize signal loss at the ... ...

Abstract	A current-mode interface chip for Silicon Photomultiplier (SiPM) array based positron emission tomography (PET) imaging front-ends is described. The circuit uses a high-speed current amplifier with a low input impedance, to minimize signal loss at the SiPM amplifier interface. To reduce the impact of dark noise, a novel high-speed threshold detection/comparator circuit is used to remove unwanted noise events. A prototype chip interfaces an array of SiPMs to the digital backend of a Positron Emission Tomography (PET) system using 64 readout channels, each of which contain a current amplifier and a threshold detection component. To reduce the number of backend channels, a row-column pulse positioning architecture (RCA) has been implemented. The ASIC occupies an area of 14.04 mm
Language	English
Publishing date	2018-03-29
Publishing country	United States
Document type	Journal Article
DOI	10.1109/BIOCAS.2017.8325059
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Article: Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach

Dey, Samrat K / Rahman, Md Mahbubur / Siddiqi, Umme R / Howlader, Arpita

J Med Virol

Abstract	There is an obvious concern globally regarding the fact about the emerging coronavirus 2019 novel coronavirus (2019-nCoV) as a worldwide public health threat. As the outbreak of COVID-19 causes by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) progresses within China and beyond, rapidly available epidemiological data are needed to guide strategies for situational awareness and intervention. The recent outbreak of pneumonia in Wuhan, China, caused by the SARS-CoV-2 emphasizes the importance of analyzing the epidemiological data of this novel virus and predicting their risks of infecting people all around the globe. In this study, we present an effort to compile and analyze epidemiological outbreak information on COVID-19 based on the several open datasets on 2019-nCoV provided by the Johns Hopkins University, World Health Organization, Chinese Center for Disease Control and Prevention, National Health Commission, and DXY. An exploratory data analysis with visualizations has been made to understand the number of different cases reported (confirmed, death, and recovered) in different provinces of China and outside of China. Overall, at the outset of an outbreak like this, it is highly important to readily provide information to begin the evaluation necessary to understand the risks and begin containment activities.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #10357
Database	COVID19

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Article: Impact of Analog IC Impairments in SiPM Interface Electronics.

Dey, Samrat / Lewellen, Thomas K / Miyaoka, Robert S / Rudell, Jacques C

IEEE transactions on nuclear science

2014 Volume 2012, Page(s) 3572–3574

Abstract: The recent realization of Silicon Photomultiplier (SiPM) devices as solid-state detectors for Positron Emission Tomography holds the promise of improving image resolution, integrating a significant portion of the interface electronics, and potentially ... ...

Abstract	The recent realization of Silicon Photomultiplier (SiPM) devices as solid-state detectors for Positron Emission Tomography holds the promise of improving image resolution, integrating a significant portion of the interface electronics, and potentially lowering the power consumption. Our lab has previously reported on novel board-level readout electronics for an 8×8 silicon photomultiplier (SiPM) array featuring row/column summation technique to reduce the hardware requirements for signal processing and is currently working on taking the next step by implementing a monolithic CMOS chip which is based on the row-column architecture. To date, relatively little modeling has been done to understand the impact of analog non-idealities associated with the front-end electronics, on SiPM-based PET systems. This paper focuses on various analog impairments associated with PET scanner readout electronics. Matlab was used as a simulation platform to model the noise, linearity and signal bandwidth of the frontend electronics with the measured SiPM pulses as the input.
Language	English
Publishing date	2014-04-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	218510-6
ISSN	0018-9499
ISSN	0018-9499
DOI	10.1109/NSSMIC.2012.6551818
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Article: SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education.

Qazi, Atika / Hasan, Najmul / Owusu-Ansah, Christopher M / Hardaker, Glenn / Dey, Samrat Kumar / Haruna, Khalid

Heliyon

2022 Volume 9, Issue 1, Page(s) e12705

Abstract: Online communities provide facilities to share public opinions and or sentiments on a wide range of subjects, from routine topics to vital issues of critical interest. Nowadays, many higher education institutions (HEIs) recognize the value of students' ... ...

Abstract	Online communities provide facilities to share public opinions and or sentiments on a wide range of subjects, from routine topics to vital issues of critical interest. Nowadays, many higher education institutions (HEIs) recognize the value of students' sentiments and evaluate users' concerns for the successful adaptation of mobile learning applications (MLAs). While digital learning has been extensively studied previously, little has been known about why MLA is underutilized. Therefore, this study extends the literature by proposing the SentiTAM model underlying technology acceptance model (TAM), and students' sentiments on MLA platforms. A self-administered cross-sectional survey of 350 MLA users' data was analyzed through structural equation modeling (SEM) using the AMOS package program. In addition, we have performed sentiment analysis on students' opinions gathered through Google discussion forums and Twitter. The results show that MLA use intention is strongly influenced by sentiments and self-motivation, while perceived usefulness and perceived ease of use directly influence MLA usage. To the best of our knowledge, this study is the first attempt in MLA that investigates several vital factors, including sentiments as a multi-perspective tool and motivational factors with core constructs of TAM. The findings assist developing countries make smart decisions about how to use MLA with emerging technology.
Language	English
Publishing date	2022-12-30
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2022.e12705
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An association study of severity of intellectual disability with peripheral biomarkers of disabled children in a rehabilitation home, Kolkata, India

Aaveri Sengupta / Ujjal Das / Krishnendu Manna / Sushobhan Biswas / Siddhartha Datta / Amitava Khan / Tuhin Bhattacharya / Samrat Saha / Tapashi Mitra / Swapan Mukherjee / Anup K. Sadhu / Suhrita Paul / Saurabh Ghosh / Rakhi Dey Sharma / Sanjit Dey

Scientific Reports, Vol 9, Iss 1, Pp 1-

2019 Volume 14

Abstract: Abstract The current investigation has identified the biomarkers associated with severity of disability and correlation among plethora of systemic, cellular and molecular parameters of intellectual disability (ID) in a rehabilitation home. The background ...

Abstract	Abstract The current investigation has identified the biomarkers associated with severity of disability and correlation among plethora of systemic, cellular and molecular parameters of intellectual disability (ID) in a rehabilitation home. The background of study lies with the recent clinical evidences which identified complications in ID. Various indicators from blood and peripheral system serve as potential surrogates for disability related changes in brain functions. ID subjects (Male, age 10 ± 5 yrs, N = 45) were classified as mild, moderate and severe according to the severity of disability using standard psychometric analysis. Clinical parameters including stress biomarkers, neurotransmitters, RBC morphology, expressions of inflammatory proteins and neurotrophic factor were estimated from PBMC, RBC and serum. The lipid peroxidation of PBMC and RBC membranes, levels of serum glutamate, serotonin, homocysteine, ROS, lactate and LDH-A expression increased significantly with severity of ID whereas changes in RBC membrane β-actin, serum BDNF, TNF-α and IL-6 was found non-significant. Structural abnormalities of RBC were more in severely disabled children compared to mildly affected ones. The oxidative stress remained a crucial factor with severity of disability. This is confirmed not only by RBC alterations but also with other cellular dysregulations. The present article extends unique insights of how severity of disability is correlated with various clinical, cellular and molecular markers of blood. This unique study primarily focuses on the strong predictors of severity of disability and their associations via brain-blood axis.
Keywords	Medicine ; R ; Science ; Q
Subject code	360
Language	English
Publishing date	2019-09-01T00:00:00Z
Publisher	Nature Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An association study of severity of intellectual disability with peripheral biomarkers of disabled children in a rehabilitation home, Kolkata, India.

Sengupta, Aaveri / Das, Ujjal / Manna, Krishnendu / Biswas, Sushobhan / Datta, Siddhartha / Khan, Amitava / Bhattacharya, Tuhin / Saha, Samrat / Mitra, Tapashi / Mukherjee, Swapan / Sadhu, Anup K / Paul, Suhrita / Ghosh, Saurabh / Sharma, Rakhi Dey / Dey, Sanjit

Scientific reports

2019 Volume 9, Issue 1, Page(s) 13652

Abstract: The current investigation has identified the biomarkers associated with severity of disability and correlation among plethora of systemic, cellular and molecular parameters of intellectual disability (ID) in a rehabilitation home. The background of study ...

Abstract	The current investigation has identified the biomarkers associated with severity of disability and correlation among plethora of systemic, cellular and molecular parameters of intellectual disability (ID) in a rehabilitation home. The background of study lies with the recent clinical evidences which identified complications in ID. Various indicators from blood and peripheral system serve as potential surrogates for disability related changes in brain functions. ID subjects (Male, age 10 ± 5 yrs, N = 45) were classified as mild, moderate and severe according to the severity of disability using standard psychometric analysis. Clinical parameters including stress biomarkers, neurotransmitters, RBC morphology, expressions of inflammatory proteins and neurotrophic factor were estimated from PBMC, RBC and serum. The lipid peroxidation of PBMC and RBC membranes, levels of serum glutamate, serotonin, homocysteine, ROS, lactate and LDH-A expression increased significantly with severity of ID whereas changes in RBC membrane β-actin, serum BDNF, TNF-α and IL-6 was found non-significant. Structural abnormalities of RBC were more in severely disabled children compared to mildly affected ones. The oxidative stress remained a crucial factor with severity of disability. This is confirmed not only by RBC alterations but also with other cellular dysregulations. The present article extends unique insights of how severity of disability is correlated with various clinical, cellular and molecular markers of blood. This unique study primarily focuses on the strong predictors of severity of disability and their associations via brain-blood axis.
MeSH term(s)	Adolescent ; Biomarkers/blood ; Child ; Child, Preschool ; Disabled Children/rehabilitation ; Erythrocytes/pathology ; Humans ; India ; Intellectual Disability/blood ; Intellectual Disability/diagnosis ; Intellectual Disability/pathology ; Lipid Peroxidation ; Male ; Severity of Illness Index
Chemical Substances	Biomarkers
Language	English
Publishing date	2019-09-20
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-019-49728-3
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Use of Digital Technologies in Public Health Responses to Tackle Covid-19

Dey, Samrat Kumar / Mehrin, Khaleda / Akter, Lubana / Akter, Mshura

the Bangladesh Perspective

2022

Abstract: This paper aims to study the fight against COVID-19 in Bangladesh and digital intervention initiatives. To achieve the purpose of our research, we conducted a methodical review of online content. We have reviewed the first digital intervention that COVID- ...

Abstract	This paper aims to study the fight against COVID-19 in Bangladesh and digital intervention initiatives. To achieve the purpose of our research, we conducted a methodical review of online content. We have reviewed the first digital intervention that COVID-19 has been used to fight against worldwide. Then we reviewed the initiatives that have been taken in Bangladesh. Our paper has shown that while Bangladesh can take advantage of the digital intervention approach, it will require rigorous collaboration between government organizations and universities to get the most out of it. Public health can become increasingly digital in the future, and we are reviewing international alignment requirements. This exploration also focused on the strategies for controlling, evaluating, and using digital technology to strengthen epidemic management and future preparations for COVID-19. Comment: 13 pages, 11 figures, 1 table
Keywords	Computer Science - Computers and Society
Subject code	070
Publishing date	2022-03-10
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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