Investigating diseases and chemicals in COVID-19 literature with text mining

[1]  Arpan Kumar Kar,et al.  Diffusion of blockchain in insurance industry: An analysis through the review of academic and trade literature , 2021, Telematics Informatics.

[2]  Sruthi Puthan Valappil,et al.  Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S. , 2021, Healthcare.

[3]  P. Vigneswara Ilavarasan,et al.  Applications of text mining in services management: A systematic literature review , 2021, Int. J. Inf. Manag. Data Insights.

[4]  A. Karami,et al.  Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter , 2021, International journal of environmental research and public health.

[5]  Sanjeev Verma,et al.  Artificial intelligence in marketing: Systematic review and future research direction , 2021, Int. J. Inf. Manag. Data Insights.

[6]  Z. Hatmi.  A Systematic Review of Systematic Reviews on the COVID-19 Pandemic , 2021, SN Comprehensive Clinical Medicine.

[7]  A. Karami,et al.  Social media and COVID‐19: Characterizing anti‐quarantine comments on Twitter , 2020, ASIST.

[8]  A. Karami,et al.  Exploring research trends in big data across disciplines: A text mining analysis , 2020, J. Inf. Sci..

[9]  Lee-Jen Wei,et al.  Remdesivir for the Treatment of Covid-19 - Preliminary Report. , 2020, The New England journal of medicine.

[10]  S. Pierson,et al.  Treatments Administered to the First 9152 Reported Cases of COVID-19: A Systematic Review , 2020, Infectious Diseases and Therapy.

[11]  V. Ferrari,et al.  Cardiovascular manifestations and treatment considerations in COVID-19 , 2020, Heart.

[12]  P. Pozzilli,et al.  DPP4 inhibition: Preventing SARS‐CoV‐2 infection and/or progression of COVID‐19? , 2020, Diabetes/metabolism research and reviews.

[13]  C. Montecucco,et al.  Can hydroxychloroquine protect patients with rheumatic diseases from COVID-19? Response to: ‘Does hydroxychloroquine prevent the transmission of COVID-19?’ by Heldwein and Calado and ‘SLE, hydroxychloroquine and no SLE patients with COVID-19: a comment’ by Joob and Wiwanitkit , 2020, Annals of the Rheumatic Diseases.

[14]  E. Carboni,et al.  Can pioglitazone be potentially useful therapeutically in treating patients with COVID-19? , 2020, Medical Hypotheses.

[15]  G. Sani,et al.  Affective temperament, attachment style, and the psychological impact of the COVID-19 outbreak: an early report on the Italian general population , 2020, Brain, Behavior, and Immunity.

[16]  Yusuke Kuwahara,et al.  A sporadic COVID-19 pneumonia treated with extracorporeal membrane oxygenation in Tokyo, Japan: A case report , 2020, Journal of Infection and Chemotherapy.

[17]  M. Yaffe,et al.  ISTH interim guidance on recognition and management of coagulopathy in COVID‐19: A comment , 2020, Journal of Thrombosis and Haemostasis.

[18]  G. Roviello,et al.  SARS CoV-2: Recent Reports on Antiviral Therapies Based on Lopinavir/Ritonavir, Darunavir/Umifenovir, Hydroxychloroquine, Remdesivir, Favipiravir and Other Drugs for the Treatment of the New Coronavirus. , 2020, Current medicinal chemistry.

[19]  M. Jaguszewski,et al.  COVID-19 challenge for modern medicine. , 2020, Cardiology journal.

[20]  A. Lovato,et al.  Clinical Presentation of COVID-19: A Systematic Review Focusing on Upper Airway Symptoms , 2020, Ear, nose, & throat journal.

[21]  V. Negi,et al.  A systematic review of the prophylactic role of chloroquine and hydroxychloroquine in coronavirus disease‐19 (COVID‐19) , 2020, International journal of rheumatic diseases.

[22]  A. Shneider,et al.  Can melatonin reduce the severity of COVID-19 pandemic? , 2020, International reviews of immunology.

[23]  D. Shibata,et al.  Management of Cancer Surgery Cases During the COVID-19 Pandemic: Considerations , 2020, Annals of Surgical Oncology.

[24]  Xinjuan Wu,et al.  Holistic care for patients with severe coronavirus disease 2019: An expert consensus , 2020, International Journal of Nursing Sciences.

[25]  A. Perna,et al.  COVID-19 contagion and contamination through hands of trauma patients: what risks and what precautions? , 2020, Journal of Hospital Infection.

[26]  R. Pranata,et al.  Cardiac injury is associated with mortality and critically ill pneumonia in COVID-19: A meta-analysis , 2020, The American Journal of Emergency Medicine.

[27]  S. Lei,et al.  Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection , 2020, EClinicalMedicine.

[28]  A. Elfiky,et al.  Ribavirin, Remdesivir, Sofosbuvir, Galidesivir, and Tenofovir against SARS-CoV-2 RNA dependent RNA polymerase (RdRp): A molecular docking study , 2020, Life Sciences.

[29]  Lei Dong,et al.  Kidney disease is associated with in-hospital death of patients with COVID-19 , 2020, Kidney International.

[30]  Yan Wang,et al.  Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter , 2020, Psychiatry Research.

[31]  L. Manchikanti,et al.  Expanded Umbilical Cord Mesenchymal Stem Cells (UC-MSCs) as a Therapeutic Strategy in Managing Critically Ill COVID-19 Patients: The Case for Compassionate Use. , 2020, Pain physician.

[32]  gui-qiang Wang,et al.  A systematic review of lopinavir therapy for SARS coronavirus and MERS coronavirus—A possible reference for coronavirus disease‐19 treatment option , 2020, Journal of medical virology.

[33]  Yunhui Liu,et al.  Potential interventions for novel coronavirus in China: A systematic review , 2020, Journal of medical virology.

[34]  M. Aricò,et al.  2019-nCoV: Polite with children! , 2020, Pediatric reports.

[35]  Mi Seon Kim,et al.  Identification of Coronavirus Isolated from a Patient in Korea with COVID-19 , 2020, Osong public health and research perspectives.

[36]  Feng Li,et al.  Detectable 2019-nCoV viral RNA in blood is a strong indicator for the further clinical severity , 2020, Emerging microbes & infections.

[37]  Zhènglì Shí,et al.  Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclonal antibody , 2020, bioRxiv.

[38]  Amir Karami,et al.  Unwanted Advances in Higher Education: Uncovering Sexual Harassment Experiences in Academia with Text Mining , 2019, Inf. Process. Manag..

[39]  Yogesh K. Dwivedi,et al.  Twitter and Research: A Systematic Literature Review Through Text Mining , 2020, IEEE Access.

[40]  Amir Karami,et al.  Exploring Diseases and Syndromes in Neurology Case Reports from 1955 to 2017 with Text Mining , 2019, Comput. Biol. Medicine.

[41]  Mohammad Hossein Jarrahi,et al.  Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review , 2019, J. Biomed. Informatics.

[42]  Bilal Mirza,et al.  Machine Learning and Integrative Analysis of Biomedical Big Data , 2019, Genes.

[43]  Hafidha Al-Barashdi,et al.  Big Data in academic libraries: literature review and future research directions , 2019, Journal of Information Studies & Technology (JIS&T).

[44]  George Shaw,et al.  An Exploratory Study of (#)Exercise in the Twittersphere , 2018, iConference 2019 Proceedings.

[45]  Amir Karami,et al.  Political Popularity Analysis in Social Media , 2018, iConference.

[46]  Amir Karami,et al.  Computational Analysis of Insurance Complaints: GEICO Case Study , 2018, ArXiv.

[47]  Joseph J. DeFerio,et al.  Understanding the research landscape of major depressive disorder via literature mining: an entity-level analysis of PubMed data from 1948 to 2017 , 2018, JAMIA open.

[48]  Amir Karami,et al.  Characterizing Diseases and disorders in Gay Users' tweets , 2018, ArXiv.

[49]  Bin Zhou,et al.  Fuzzy Approach Topic Discovery in Health and Medical Corpora , 2017, Int. J. Fuzzy Syst..

[50]  Ni Ai,et al.  Revealing topics and their evolution in biomedical literature using Bio-DTM: a case study of ginseng , 2017, Chinese Medicine.

[51]  Arpan Kumar Kar,et al.  Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature , 2017, Global Journal of Flexible Systems Management.

[52]  Loet Leydesdorff,et al.  Co‐word maps and topic modeling: A comparison using small and medium‐sized corpora (N < 1,000) , 2015, J. Assoc. Inf. Sci. Technol..

[53]  Katrien Verbert,et al.  Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives , 2016, Machine Learning for Health Informatics.

[54]  Aeilko H. Zwinderman,et al.  Understanding big data themes from scientific biomedical literature through topic modeling , 2016, Journal of Big Data.

[55]  David Robinson,et al.  tidytext: Text Mining and Analysis Using Tidy Data Principles in R , 2016, J. Open Source Softw..

[56]  Casey S. Greene,et al.  Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery , 2015, Briefings Bioinform..

[57]  Amir Karami,et al.  Fuzzy Topic Modeling for Medical Corpora , 2015 .

[58]  Martin Wiesner,et al.  Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges , 2014, International journal of environmental research and public health.

[59]  Thomas Ertl,et al.  Word Cloud Explorer: Text Analytics Based on Word Clouds , 2014, 2014 47th Hawaii International Conference on System Sciences.

[60]  Yan Zhang,et al.  Text Mining with Application to Academic Libraries , 2011 .

[61]  Hadley Wickham,et al.  The Split-Apply-Combine Strategy for Data Analysis , 2011 .

[62]  Ian H. Witten,et al.  Text mining in a digital library , 2004, International Journal on Digital Libraries.

[63]  G. Vanzetto,et al.  [Therapeutic management]. , 2000, Nephrologie.

[64]  G. Pugliese,et al.  Severe Streptococcus pyogenes Infections, United Kingdom, 2003–2004 , 2008, Emerging infectious diseases.