PERFORM Publications

Keyword search (4,164 papers available)

Title		Authors	PubMed ID
1	Sagittal abdominal diameter and abdominal aortic calcification are associated with incident major adverse cardiovascular events: The Manitoba Bone Density Registry	Abraha HN; Gebre AK; Sim M; Smith C; Gilani SZ; Ilyas Z; Zarzour F; Schousboe JT; Lix LM; Binkley N; Reid S; Monchka BA; Kimelman D; Lewis JR; Leslie WD;	41903786 ENCS
2	Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods	Ekwe M; Fernando H; James G; Adeluyi O; Verrelst J; Kross A;	41682534 CONCORDIA
3	Smart Optogenetics for Real-Time Automated Control of Cardiac Electrical Activity	Deng S; Harlaar N; Zhang J; Dekker SO; Kudryashova NN; Zhou H; Bart CI; Jin T; Derevyanko G; van Driel W; Panfilov AV; Poelma RH; de Vries AAF; Zhang G; De Coster T; Pijnappels DA;	41684280 CHEMBIOCHEM
4	Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems	Yaghoobian S; An J; Jeong DW; Hwang JH;	41483514 ENCS
5	New spectral indices for identifying large plastic accumulations in coastal waters with sentinel-2 imagery	Wu C; Chen Z; Peng C; An C;	41406508 ENCS
6	Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications	Khodaverdi H; Sedaghati R;	40732777 ENCS
7	Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review	Md Shike Bin Mazid Anik	40692624 ENCS
8	Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos	Alves W; Babouras A; Martineau PA; Schutt D; Robbins S; Fevens T;	40632382 ENCS
9	Statistical or Embodied? Comparing Colorseeing, Colorblind, Painters, and Large Language Models in Their Processing of Color Metaphors	Nadler EO; Guilbeault D; Ringold SM; Williamson TR; Bellemare-Pepin A; Com?a IM; Jerbi K; Narayanan S; Aziz-Zadeh L;	40621800 PSYCHOLOGY
10	Application of machine learning for predicting the incubation period of water droplet erosion in metals	AlHammad K; Medraj M; Tembely M;	40612685 ENCS
11	Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques	Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R;	40336660 ENCS
12	Clustering and Interpretability of Residential Electricity Demand Profiles	Kallel S; Amayri M; Bouguila N;	40218540 ENCS
13	Automated abdominal aortic calcification scoring from vertebral fracture assessment images and fall-associated hospitalisations: the Manitoba Bone Mineral Density Registry	Sim M; Gebre AK; Dalla Via J; Reid S; Jozani MJ; Kimelman D; Monchka BA; Gilani SZ; Ilyas Z; Smith C; Suter D; Schousboe JT; Lewis JR; Leslie WD;	40080298 ENCS
14	Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology	Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klimes P; Frauscher B;	39608298 SOH
15	MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle	McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM;	39590726 HKAP
16	Modelling reindeer rut activity using on-animal acoustic recorders and machine learning	Boucher AJ; Weladji RB; Holand Ø; Kumpula J;	38932958 BIOLOGY
17	Post-reinforcement pauses during slot machine gambling are moderated by immersion	W Spencer Murch	38429228 PSYCHOLOGY
18	The State of Artificial Intelligence in Skin Cancer Publications	Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P;	38323537 ENCS
19	An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls	Ataei P; Takhtravan A; Gheibi M; Chahkandi B; Faramarz MG; Waclawek S; Fathollahi-Fard AM; Behzadian K;	38317976 ENCS
20	Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine	Salimi M; Roshanfar M; Tabatabaei N; Mosadegh B;	38248734 ENCS
21	Editorial: Computational systems immunovirology	Zarei Ghobadi M; Teymoori-Rad M; Selvaraj G; Wei DQ;	37475870 CHEMBIOCHEM
22	Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data	Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K;	37385392 IMAGING
23	Prospects of Novel and Repurposed Immunomodulatory Drugs against Acute Respiratory Distress Syndrome (ARDS) Associated with COVID-19 Disease	Nayak SS; Naidu A; Sudhakaran SL; Vino S; Selvaraj G;	37109050 CHEMBIOCHEM
24	Comparison of photocatalysis and photolysis of 2,2,4,4-tetrabromodiphenyl ether (BDE-47): Operational parameters, kinetic studies, and data validation using three modern machine learning models	Motamedi M; Yerushalmi L; Haghighat F; Chen Z; Zhuang Y;	36907486 ENCS
25	Using machine learning to retrospectively predict self-reported gambling problems in Quebec	Murch WS; Kairouz S; Dauphinais S; Picard E; Costes JM; French M;	36880253 SOCANTH
26	Unique Photoactivated Time-Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds	Mohammadzadeh MR; Hasani A; Jaferzadeh K; Fawzy M; De Silva T; Abnavi A; Ahmadi R; Ghanbari H; Askar A; Kabir F; Rajapakse RKND; Adachi MM;	36658730 PHYSICS
27	Optimizing Biodegradable Starch-Based Composite Films Formulation for Wound-Dressing Applications	Delavari MM; Ocampo I; Stiharu I;	36557445 ENCS
28	Impact from the evolution of private vehicle fleet composition on traffic related emissions in the small-medium automotive city	Tian X; Huang G; Song Z; An C; Chen Z;	35709991 ENCS
29	Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning	Bouhamed O; Amayri M; Bouguila N;	35590880 ENCS
30	Maternal exposure to black carbon and nitrogen dioxide during pregnancy and birth weight: Using machine-learning methods to achieve balance in inverse-probability weights	Dong S; Abu-Awad Y; Kosheleva A; Fong KC; Koutrakis P; Schwartz JD;	35227679 PSYCHOLOGY
31	On the Impact of Biceps Muscle Fatigue in Human Activity Recognition.	Elshafei M, Costa DE, Shihab E	33557239 ENCS
32	Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables.	Elshafei M, Shihab E	33498702 ENCS
33	Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.	Khalilpourazari S, Hashemi Doulabi H	33424076 ENCS
34	Integrative approach for detecting membrane proteins.	Alballa M, Butler G	33349234 CSFG
35	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.	Ebadi A; Xi P; Tremblay S; Spencer B; Pall R; Wong A;	33230352 ENCS
36	Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence	Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F;	33181361 CONCORDIA
37	Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines.	Shen Y, Khorasani K	32673847 ENCS

Title:	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.
Authors:	Ebadi A, Xi P, Tremblay S, Spencer B, Pall R, Wong A
Link:	https://www.ncbi.nlm.nih.gov/pubmed/33230352
DOI:	10.1007/s11192-020-03744-7
Publication:	Scientometrics
Keywords:	COVID-19 research landscape; Machine learning; Structural topic modeling; Text mining; Topics evolution;
PMID:	33230352	Category:	Scientometrics	Date Added:	2020-11-25
Dept Affiliation:	ENCS 1 National Research Council Canada, Montréal, QC H3T 1J4 Canada. 2 Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC H3G 2W1 Canada. 3 National Research Council Canada, Ottawa, ON K1K 2E1 Canada. 4 National Research Council Canada, Fredericton, NB E3B 9W4 Canada. 5 Faculty of Computer Science, University of New Brunswick, Fredericton, NB E3B 5A3 Canada. 6 Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1 Canada. 7 Waterloo Artificial Intelligence Institute, Waterloo, ON N2L 3G1 Canada.

Description:

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.

Scientometrics. 2020 Nov 19; :1-15

Authors: Ebadi A, Xi P, Tremblay S, Spencer B, Pall R, Wong A

Abstract

The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities under lockdown to new social experiences. Although in most cases COVID-19 results in mild illness, it has drawn global attention due to the extremely contagious nature of SARS-CoV-2. Governments and healthcare professionals, along with people and society as a whole, have taken any measures to break the chain of transition and flatten the epidemic curve. In this study, we used multiple data sources, i.e., PubMed and ArXiv, and built several machine learning models to characterize the landscape of current COVID-19 research by identifying the latent topics and analyzing the temporal evolution of the extracted research themes, publications similarity, and sentiments, within the time-frame of January-May 2020. Our findings confirm the types of research available in PubMed and ArXiv differ significantly, with the former exhibiting greater diversity in terms of COVID-19 related issues and the latter focusing more on intelligent systems/tools to predict/diagnose COVID-19. The special attention of the research community to the high-risk groups and people with complications was also confirmed.

PMID: 33230352 [PubMed - as supplied by publisher]

BookR: School of Health Core Facilities Booking

"Machine learning" Keyword-tagged Publications:

Search Publications

No results