Utilizing CNN-LSTM techniques for the enhancement of medical systems

[1]  Yutong Li,et al.  An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting , 2022, Expert Systems with Applications.

[2]  A. C. Subhajini,et al.  E-GCS: Detection of COVID-19 through classification by attention bottleneck residual network , 2022, Engineering Applications of Artificial Intelligence.

[3]  Chinmay Chakraborty,et al.  Gradient Boosting Machine and Efficient Combination of Features for Speech-Based Detection of COVID-19 , 2022, IEEE Journal of Biomedical and Health Informatics.

[4]  M. Aamir,et al.  Soft computing techniques for forecasting of COVID-19 in Pakistan , 2022, Alexandria Engineering Journal.

[5]  Md. Muhtadir Rahman,et al.  Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method , 2022, Computers in Biology and Medicine.

[6]  Thananya Wongsinin,et al.  Identifying individuals with recent COVID-19 through voice classification using deep learning , 2021, Scientific Reports.

[7]  K. Rahouma,et al.  Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings , 2021, Alexandria Engineering Journal.

[8]  Ali Asghar Heidari,et al.  Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine , 2021, Computers in Biology and Medicine.

[9]  Zuhaira M. Zain,et al.  COVID-19 Pandemic Forecasting Using CNN-LSTM: A Hybrid Approach , 2021, J. Control. Sci. Eng..

[10]  Andreas Spanias,et al.  Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection , 2021, 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA).

[11]  S. Nivetha,et al.  A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data , 2021, Biomedical Signal Processing and Control.

[12]  H. Kumar,et al.  A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India , 2021, ISA Transactions.

[13]  Adnan M. S. Fakir,et al.  Pandemic catch-22: The role of mobility restrictions and institutional inequalities in halting the spread of COVID-19 , 2021, PloS one.

[14]  Aravind Krishnaswamy Rangarajan,et al.  A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images , 2021, Expert Systems with Applications.

[15]  Screening of COVID-19 using Cough Audio Frequencies , 2021, International Journal of Advanced Trends in Computer Science and Engineering.

[16]  A. Boyacı,et al.  Artificial Intelligence–Based COVID-19 Detection Using Cough Records , 2021 .

[17]  A. John,et al.  An approach to forecast impact of Covid‐19 using supervised machine learning model , 2021, Softw. Pract. Exp..

[18]  Sharnil Pandya,et al.  Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease , 2021, PeerJ Comput. Sci..

[19]  Muhammad Attique Khan,et al.  Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine , 2020, Computers & Electrical Engineering.

[20]  David W. S. Wong,et al.  Spreading of COVID-19: Density matters , 2020, PloS one.

[21]  Yair Neuman,et al.  Utilization of machine-learning models to accurately predict the risk for critical COVID-19 , 2020, Internal and Emergency Medicine.

[22]  Abbas Sharifi,et al.  Diagnosis and detection of infected tissue of COVID-19 patients based on lung x-ray image using convolutional neural network approaches , 2020, Chaos, Solitons & Fractals.

[23]  Angelo Carfì,et al.  Persistent Symptoms in Patients After Acute COVID-19. , 2020, JAMA.

[24]  Lawrence O Gostin,et al.  Access to lifesaving medical resources for African countries: COVID-19 testing and response, ethics, and politics , 2020, The Lancet.

[25]  N. Uddin,et al.  Evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as coronavirus disease 2019 (COVID-19) pandemic: A global health emergency , 2020, Science of The Total Environment.

[26]  A. Tahamtan,et al.  Real-time RT-PCR in COVID-19 detection: issues affecting the results , 2020, Expert review of molecular diagnostics.

[27]  Sanjay Sarma,et al.  Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic , 2020, ArXiv.

[28]  Marc A Pfeffer,et al.  Renin–Angiotensin–Aldosterone System Inhibitors in Patients with Covid-19 , 2020, The New England journal of medicine.

[29]  M. Salathé,et al.  COVID-19 epidemic in Switzerland: on the importance of testing, contact tracing and isolation. , 2020, Swiss medical weekly.

[30]  Xiuhua Hu,et al.  Progress and prospect on imaging diagnosis of COVID-19 , 2020, Chinese Journal of Academic Radiology.

[31]  Fang Liu,et al.  Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children , 2020, Journal of Infection.

[32]  P. Horby,et al.  A novel coronavirus outbreak of global health concern , 2020, The Lancet.

[33]  Germain Forestier,et al.  Deep learning for time series classification: a review , 2018, Data Mining and Knowledge Discovery.

[34]  P D van Helden,et al.  Detection of tuberculosis by automatic cough sound analysis , 2018, Physiological measurement.

[35]  Wei Chen,et al.  A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system , 2018, Neural Computing and Applications.

[36]  Cheng-Ta Yang,et al.  Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection , 2017, Sensors.

[37]  Ki H. Chon,et al.  Estimation of Respiratory Rates Using the Built-in Microphone of a Smartphone or Headset , 2016, IEEE Journal of Biomedical and Health Informatics.

[38]  V. K. Mittal,et al.  Discriminant feature vectors for characterizing ailment cough vs. simulated cough , 2016, 2016 IEEE Region 10 Conference (TENCON).

[39]  T. Higenbottam.  Chronic cough and the cough reflex in common lung diseases. , 2002, Pulmonary pharmacology & therapeutics.

[40]  Sahar Idwan,et al.  Machine Learning and Statistical Modelling for Prediction of Novel COVID-19 Patients Case Study: Jordan , 2020 .