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61+ results
Field: Artificial intelligence

Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison

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Md. Mamun Ali, Bikash Kumar Paul, Kawsar Ahmed, Francis M. Bui et al.

Journal: Computers in Biology and Medicine
Year: 2021
Citations: 480

Machine learning and data mining-based approaches to prediction and detection of heart disease would be of great clinical utility, but are highly challenging to develop. In most countries there is a lack of cardiovascular expertise and a significant rate of incorrectly diagnosed cases which could be...

Health SciencesHealth ProfessionsHealth Information Management
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Inference for nonlinear dynamical systems

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Edward L. Ionides, Carles Bretó, Aaron A. King

Journal: Proceedings of the National Academy of SciencesYear: 2006Citations: 477

Nonlinear stochastic dynamical systems are widely used to model systems across the sciences and engineering. Such models are natural to formulate and can be analyzed mathematically and numerically. However, difficulties associated with inference from time-series data about unknown parameters in thes...

Life SciencesBiochemistry, Genetics and Molecular BiologyEndocrinologyOpen Access
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Depression detection from social network data using machine learning techniques

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Md. Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed, Abu Raihan Mostofa Kamal et al.

Journal: Health Information Science and SystemsYear: 2018Citations: 459

Purpose Social networks have been developed as a great point for its users to communicate with their interested friends and share their opinions, photos, and videos reflecting their moods, feelings and sentiments. This creates an opportunity to analyze social network data for user's feelings and sen...

Social SciencesPsychologySocial Psychology
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A Bayesian Reliability Growth Model for Computer Software

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Bev Littlewood, J. L. Verrall

Journal: Journal of the Royal Statistical Society Series C (Applied Statistics)Year: 1973Citations: 457

A Bayesian reliability growth model is presented which includes special features designed to reproduce special properties of the growth in reliability of an item of computer software (program). The model treats the situation where the program is sufficiently complete to work for continuous time peri...

Physical SciencesComputer ScienceSoftware
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CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

Verified

Emtiaz Hussain, Mahmudul Hasan, Anisur Rahman, Ickjai Lee et al.

Journal: Chaos Solitons & FractalsYear: 2020Citations: 454

Highlights • A 22-layer CNN architecture, which has achieved an accuracy of 99.1% for 2 class classification, 94.2% for 3 class classification, and 91.2% for 4 class classification. To the best of our knowledge, the accuracy of our proposed CoroDet method is higher than the state-of-the-art method f...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Sleep Disturbances among Medical Students: A Global Perspective

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Muhammad Chanchal Azad, Kristin Fraser, Nahid Rumana, Ahmad Faris Abdullah et al.

Journal: Journal of Clinical Sleep MedicineYear: 2015Citations: 446

Medical students carry a large academic load which could potentially contribute to poor sleep quality above and beyond that already experienced by modern society. In this global literature review of the medical students' sleep experience, we find that poor sleep is not only common among medical stud...

Social SciencesPsychologyExperimental and Cognitive PsychologyOpen Access
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A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework

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Mehedi Masud, Niloy Sikder, Abdullah-Al Nahid, Anupam Kumar Bairagi et al.

Journal: SensorsYear: 2021Citations: 445

The field of Medicine and Healthcare has attained revolutionary advancements in the last forty years. Within this period, the actual reasons behind numerous diseases were unveiled, novel diagnostic methods were designed, and new medicines were developed. Even after all these achievements, diseases l...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains

Verified

Md. Ashfanoor Kabir, Celia Shahnaz

Journal: Biomedical Signal Processing and ControlYear: 2012Citations: 441
Health SciencesMedicineCardiology and Cardiovascular Medicine
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Deep learning in mining biological data

Verified

Mufti Mahmud, M. Shamim Kaiser, T.M. McGinnity, Amir Hussain

Journal: Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)Year: 2021Citations: 439

Recent technological advancements in data acquisition tools allowed life scientists to acquire multimodal data from different biological application domains. Categorized in three broad types (i.e. images, signals, and sequences), these data are huge in amount and complex in nature. Mining such enorm...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling

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Chen Wang, Yuanchang Xie, Helai Huang, Pan Liu

Journal: Accident Analysis & PreventionYear: 2021Citations: 437

Surrogate Safety Measures (SSM) are important for safety performance evaluation, since crashes are rare events and historical crash data does not capture near crashes that are also critical for improving safety. This paper focuses on SSM and their applications, particularly in Connected and Automate...

Physical SciencesEngineeringControl and Systems Engineering
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An adaptive gamma correction for image enhancement

Verified

Shanto Rahman, Md. Mostafijur Rahman, M. Abdullah‐Al‐Wadud, Golam Dastegir Al-Quaderi et al.

Journal: EURASIP Journal on Image and Video ProcessingYear: 2016Citations: 434

Due to the limitations of image-capturing devices or the presence of a non-ideal environment, the quality of digital images may get degraded. In spite of much advancement in imaging science, captured images do not always fulfill users’ expectations of clear and soothing views. Most of the existing m...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis

Verified

Najmuj Sakib, A. K. M. Israfil Bhuiyan, Sahadat Hossain, Firoj Al‐Mamun et al.

Journal: International Journal of Mental Health and AddictionYear: 2020Citations: 431

Abstract The recently developed Fear of COVID-19 Scale (FCV-19S) is a seven-item uni-dimensional scale that assesses the severity of fears of COVID-19. Given the rapid increase of COVID-19 cases in Bangladesh, we aimed to translate and validate the FCV-19S in Bangla. The forward-backward translation...

Social SciencesPsychologyClinical PsychologyOpen Access
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Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation

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Joshua N. Cobb, Roselyne U. Juma, P. Biswas, Juan David Arbelaez et al.

Journal: Theoretical and Applied GeneticsYear: 2019Citations: 424

KEY MESSAGE: The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian genetics. The breeder's equation is the foundational application of quantitative genetics to cr...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Exponential stability and periodic oscillatory solution in BAM networks with delays

Verified

Jinde Cao, Lin Wang

Journal: IEEE Transactions on Neural NetworksYear: 2002Citations: 421

Both exponential stability and periodic oscillatory solution of bidirectional associative memory (BAM) networks with axonal signal transmission delays are considered by constructing suitable Lyapunov functional and some analysis techniques. Some simple sufficient conditions are given ensuring the gl...

Physical SciencesComputer ScienceComputer Networks and Communications
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Addressing the risk of maladaptation to climate change

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Alexandre Magnan, E. Lisa F. Schipper, Maxine Burkett, Sukaina Bharwani et al.

Journal: Wiley Interdisciplinary Reviews Climate ChangeYear: 2016Citations: 419

This paper reviews the current theoretical scholarship on maladaptation and provides some specific case studies—in the Maldives, Ethiopia, South Africa, and Bangladesh—to advance the field by offering an improved conceptual understanding and more practice‐oriented insights. It notably highlights fou...

Life SciencesAgricultural and Biological SciencesEcology, Evolution, Behavior and Systematics
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