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Results for “"Md. Rezwanul Haque"”

16+ results

Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques

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Md. Milon Islam, Md. Rezwanul Haque, Hasib Iqbal, Md. Munirul Hasan et al.

Journal: SN Computer ScienceYear: 2020Citations: 349
Physical Sciences
Computer Science
Artificial Intelligence
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Prediction of breast cancer using support vector machine and K-Nearest neighbors

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Md. Milon Islam, Hasib Iqbal, Md. Rezwanul Haque, Md. Kamrul Hasan

Year: 2017Citations: 206

Breast Cancer is one of the most exquisite and internecine disease among all of the diseases in medical science. It is one of the crucial reasons of death among the females all over the world. We present a novel modality for the prediction of breast cancer and introduces with the Support Vector Mach...

Physical SciencesComputer ScienceArtificial Intelligence
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Performance Evaluation of Random Forests and Artificial Neural Networks for the Classification of Liver Disorder

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Md. Rezwanul Haque, Md. Milon Islam, Hasib Iqbal, Md. Sumon Reza et al.

Journal: 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2)Year: 2018Citations: 104

Liver is the major organ inside the human body which is very supportive for digesting food, eliminating poisons, and stocking energy. The rate of Liver disorder patients is rapidly rising all over the world. But it is very hard to identify the disorder from its ambiguous symptoms which increases the...

Health SciencesHealth ProfessionsHealth Information Management
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Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques

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Laboni Akter, Ferdib-Al Islam, Md. Milon Islam, Mabrook Al‐Rakhami et al.

Journal: SN Computer ScienceYear: 2021Citations: 93
Health SciencesMedicineEpidemiology
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Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic

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Amanullah Asraf, Md. Zabirul Islam, Md. Rezwanul Haque, Md. Milon Islam

Journal: SN Computer ScienceYear: 2020Citations: 83

During this global pandemic, researchers around the world are trying to find out innovative technology for a smart healthcare system to combat coronavirus. The evidence of deep learning applications on the past epidemic inspires the experts by giving a new direction to control this outbreak. The aim...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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COVID-19 vaccine acceptance in South Asia: a multi-country study

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Mohammad Delwer Hossain Hawlader, Mohammad Lutfor Rahman, Anum Nazir, Tasnim Ara et al.

Journal: International Journal of Infectious DiseasesYear: 2021Citations: 78

OBJECTIVES: With COVID-19 vaccination underway, this study aimed to understand belief, attitude and intention of the people in the South Asia region towards the vaccine. METHODS: We conducted a cross-sectional study using semi-structured questionnaires among 18201 individuals in four South Asian cou...

Social SciencesHealthVaccine Coverage and HesitancyOpen Access
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Dengue epidemic in a non-endemic zone of Bangladesh: Clinical and laboratory profiles of patients

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Md. Abdur Rafi, Ashrafun Nahar Mousumi, Reejvi Ahmed, Rezwanul Haque Chowdhury et al.

Journal: PLoS neglected tropical diseasesYear: 2020Citations: 66

BACKGROUNDS: Approximately, half of the population in the world including tropical and sub-tropical climates region is at risk of dengue. Being an endemic country, Bangladesh has experienced the largest dengue epidemic in 2019. The present study aimed at evaluating the clinical and laboratory profil...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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Acceptance of COVID-19 vaccine and its determinants: evidence from a large sample study in Bangladesh

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Miah Md. Akiful Haque, Mohammad Lutfor Rahman, Mosharop Hossian, Kazi Farhana Matin et al.

Journal: HeliyonYear: 2021Citations: 60

AIM: Our study aimed to understand the acceptance level of the COVID-19 vaccine and its determinants among the adult Bangladeshi population. METHODOLOGY: This cross-sectional study was conducted in all eight divisions of Bangladesh. Data from 7,357 adult respondents were collected between January 17...

Social SciencesHealthVaccine Coverage and HesitancyOpen Access
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A Computer Vision based Lane Detection Approach

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Md. Rezwanul Haque, Md. Milon Islam, Kazi Saeed Alam, Hasib Iqbal

Journal: International Journal of Image Graphics and Signal ProcessingYear: 2019Citations: 52

Automatic lane detection to help the driver is an issue considered for the advancement of Advanced Driver Assistance Systems (ADAS) and a high level of application frameworks because of its importance in drivers and passerby safety in vehicular streets. But still, now it is a most challenging proble...

Physical SciencesEngineeringAutomotive EngineeringOpen Access
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Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic

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Shah Muhammad Azmat Ullah, Md. Milon Islam, Saifuddin Mahmud, Sheikh Nooruddin et al.

Journal: SN Computer ScienceYear: 2021Citations: 50

An ongoing pandemic, the novel coronavirus disease 2019 (COVID-19) is threatening the nations of the world regardless of health infrastructure conditions. In the age of digital electronic information and telecommunication technology, scalable telehealth services are gaining immense importance by hel...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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RFID-based ticketing for public transport system: Perspective megacity Dhaka

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Md. Foisal Mahedi Hasan, Golam Tangim, Md. Kafiul Islam, Md. Rezwanul Haque Khandokar et al.

Year: 2010Citations: 49

The paper based public transport ticketing system, prevailing in the megacity Dhaka (Bangladesh), introduces severe malfunction in the system, malicious argument among public, corruption and most of all traffic jam. This paper actually suggests a much more public friendly, automated system of ticket...

Physical SciencesEngineeringBuilding and Construction
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Quality of life of COVID-19 recovered patients in Bangladesh

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Mohammad Delwer Hossain Hawlader, Md. Utba Rashid, Md. Abdullah Saeed Khan, Tasnim Ara et al.

Journal: PLoS ONEYear: 2021Citations: 48

Coronavirus Disease-2019 (COVID-19) quickly surged the whole world and affected people's physical, mental, and social health thereby upsetting their quality of life. Therefore, we aimed to investigate the quality of life (QoL) of COVID-19 positive patients after recovery in Bangladesh. This was a st...

Social SciencesPsychologyClinical PsychologyOpen Access
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Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model

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Md. Asaf-uddowla Golap, S. M. Taslim Uddin Raju, Md. Rezwanul Haque, M. M. A. Hashem

Journal: Biomedical Signal Processing and ControlYear: 2021Citations: 38

Hemoglobin and the glucose level can be measured after taking a blood sample using a needle from the human body and analyzing the sample, the result can be observed. This type of invasive measurement is very painful and uncomfortable for the patient who is required to measure hemoglobin or glucose r...

Physical SciencesEngineeringBiomedical Engineering
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Effectiveness Study of Paromomycin IM Injection (PMIM) for the Treatment of Visceral Leishmaniasis (VL) in Bangladesh

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Kazi Jamil, Rashidul Haque, Ridwanur Rahman, Maryam Faiz et al.

Journal: PLoS neglected tropical diseasesYear: 2015Citations: 38

BACKGROUND: This study was conducted in Bangladeshi patients in an outpatient setting to support registration of Paromomycin Intramuscular Injection (PMIM) as a low-cost treatment option in Bangladesh. METHODOLOGY: This Phase IIIb, open-label, multi-center, single-arm trial assessed the efficacy and...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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Maternal Healthcare Services Utilisation and Its Associated Risk Factors: A Pooled Study of 37 Low- and Middle-Income Countries

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Hasibul Hasan Shanto, Md. Akib Al‐Zubayer, Benojir Ahammed, Md. Alamgir Sarder et al.

Journal: International Journal of Public HealthYear: 2023Citations: 37

Objectives: The utilisation of maternal healthcare services (MHS) can play an essential role in reducing maternal deaths. Thus, this study examines the prevalence and factors associated with MHS utilisation in 37 low-and-middle-income countries (LMICs). Methods: A total of 264,123 women were obtaine...

Health SciencesMedicinePediatrics, Perinatology and Child HealthOpen Access
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