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1
Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter
Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter
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Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter

Drug safety, 2016-03, Vol.39 (3), p.231-240 [Peer Reviewed Journal]

The Author(s) 2015 ;Copyright Springer Science & Business Media Mar 2016 ;ISSN: 0114-5916 ;EISSN: 1179-1942 ;DOI: 10.1007/s40264-015-0379-4 ;PMID: 26748505

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2
Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review
Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review
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Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review

Journal of medical systems, 2020-07, Vol.44 (7), p.122-122, Article 122 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-020-01582-x ;PMID: 32451808

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3
Measuring discrimination in algorithmic decision making
Measuring discrimination in algorithmic decision making
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Measuring discrimination in algorithmic decision making

Data mining and knowledge discovery, 2017-07, Vol.31 (4), p.1060-1089 [Peer Reviewed Journal]

The Author(s) 2017 ;Data Mining and Knowledge Discovery is a copyright of Springer, 2017. ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-017-0506-1

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4
A systematic review of data mining and machine learning for air pollution epidemiology
A systematic review of data mining and machine learning for air pollution epidemiology
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A systematic review of data mining and machine learning for air pollution epidemiology

BMC public health, 2017-11, Vol.17 (1), p.907-907, Article 907 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2017 ;ISSN: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-017-4914-3 ;PMID: 29179711

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5
Deep learning for time series classification: a review
Deep learning for time series classification: a review
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Deep learning for time series classification: a review

Data mining and knowledge discovery, 2019-07, Vol.33 (4), p.917-963 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Data Mining and Knowledge Discovery is a copyright of Springer, (2019). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-019-00619-1

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6
Knowledge Discovery and interactive Data Mining in Bioinformatics--State-of-the-Art, future challenges and research directions
Knowledge Discovery and interactive Data Mining in Bioinformatics--State-of-the-Art, future challenges and research directions
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Knowledge Discovery and interactive Data Mining in Bioinformatics--State-of-the-Art, future challenges and research directions

BMC bioinformatics, 2014-05, Vol.15 Suppl 6 (S6), p.I1-I1, Article I1 [Peer Reviewed Journal]

Copyright © 2014 Holzinger et al.; licensee BioMed Central Ltd. 2014 Holzinger et al.; licensee BioMed Central Ltd. ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/1471-2105-15-S6-I1 ;PMID: 25078282

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7
Longitudinal trends in global obesity research and collaboration: a review using bibliometric metadata
Longitudinal trends in global obesity research and collaboration: a review using bibliometric metadata
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Longitudinal trends in global obesity research and collaboration: a review using bibliometric metadata

Obesity reviews, 2016-04, Vol.17 (4), p.377-385 [Peer Reviewed Journal]

2016 World Obesity ;2016 World Obesity. ;ISSN: 1467-7881 ;EISSN: 1467-789X ;DOI: 10.1111/obr.12372 ;PMID: 26864566

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8
LitCovid: an open database of COVID-19 literature
LitCovid: an open database of COVID-19 literature
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LitCovid: an open database of COVID-19 literature

Nucleic Acids Research, 2021-01, Vol.49 (D1), p.D1534-D1540 [Peer Reviewed Journal]

Published by Oxford University Press on behalf of Nucleic Acids Research 2020. 2021 ;Published by Oxford University Press on behalf of Nucleic Acids Research 2020. ;2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://academic.oup.com/journals/pages/coronavirus . ;ISSN: 0305-1048 ;EISSN: 1362-4962 ;DOI: 10.1093/nar/gkaa952 ;PMID: 33166392

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9
Using text mining for study identification in systematic reviews: a systematic review of current approaches
Using text mining for study identification in systematic reviews: a systematic review of current approaches
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Using text mining for study identification in systematic reviews: a systematic review of current approaches

Systematic reviews, 2015-01, Vol.4 (1), p.5-5, Article 5 [Peer Reviewed Journal]

Copyright © 2015. This work is licensed under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;O’Mara-Eves et al.; licensee BioMed Central. 2015 ;ISSN: 2046-4053 ;EISSN: 2046-4053 ;DOI: 10.1186/2046-4053-4-5 ;PMID: 25588314

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10
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
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European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”

The AI magazine, 2017-09, Vol.38 (3), p.50-57 [Peer Reviewed Journal]

2017 The Authors. AI Magazine published by John Wiley & Sons Ltd on behalf of Association for the Advancement of Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;Copyright Association for the Advancement of Artificial Intelligence Fall 2017 ;ISSN: 0738-4602 ;EISSN: 2371-9621 ;DOI: 10.1609/aimag.v38i3.2741

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11
Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications
Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications
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Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications

ISBN: 9780123869791 ;ISBN: 012386979X ;EISBN: 9780123870117 ;EISBN: 0123870119 ;DOI: 10.1016/C2010-0-66188-8 ;OCLC: 773566730 ;LCCallNum: QA76.9.D343 P73 2012eb

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12
Massive mining of publicly available RNA-seq data from human and mouse
Massive mining of publicly available RNA-seq data from human and mouse
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Massive mining of publicly available RNA-seq data from human and mouse

Nature communications, 2018-04, Vol.9 (1), p.1366-10, Article 1366 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-018-03751-6 ;PMID: 29636450

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13
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
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The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Data mining and knowledge discovery, 2017-05, Vol.31 (3), p.606-660 [Peer Reviewed Journal]

The Author(s) 2016 ;Data Mining and Knowledge Discovery is a copyright of Springer, 2017. ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-016-0483-9 ;PMID: 30930678

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14
Where Is Current Research on Blockchain Technology?-A Systematic Review
Where Is Current Research on Blockchain Technology?-A Systematic Review
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Where Is Current Research on Blockchain Technology?-A Systematic Review

PloS one, 2016-10, Vol.11 (10), p.e0163477-e0163477 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Yli-Huumo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Yli-Huumo et al 2016 Yli-Huumo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0163477 ;PMID: 27695049

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15
Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data
Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data
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Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

PLoS biology, 2017-06, Vol.15 (6), p.e2001414 [Peer Reviewed Journal]

2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: McMurry JA, Juty N, Blomberg N, Burdett T, Conlin T, Conte N, et al. (2017) Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data. PLoS Biol 15(6): e2001414. https://doi.org/10.1371/journal.pbio.2001414 ;2017 McMurry et al 2017 McMurry et al ;2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: McMurry JA, Juty N, Blomberg N, Burdett T, Conlin T, Conte N, et al. (2017) Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data. PLoS Biol 15(6): e2001414. https://doi.org/10.1371/journal.pbio.2001414 ;ISSN: 1545-7885 ;ISSN: 1544-9173 ;EISSN: 1545-7885 ;DOI: 10.1371/journal.pbio.2001414 ;PMID: 28662064

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16
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Data mining and knowledge discovery, 2016-07, Vol.30 (4), p.891-927 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-015-0444-8

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17
A survey of sentiment analysis in social media
A survey of sentiment analysis in social media
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A survey of sentiment analysis in social media

Knowledge and information systems, 2019-08, Vol.60 (2), p.617-663 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2018 ;Knowledge and Information Systems is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0219-1377 ;EISSN: 0219-3116 ;DOI: 10.1007/s10115-018-1236-4

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18
Drug drug interaction extraction from the literature using a recursive neural network
Drug drug interaction extraction from the literature using a recursive neural network
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Drug drug interaction extraction from the literature using a recursive neural network

PloS one, 2018-01, Vol.13 (1), p.e0190926 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Lim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Lim et al 2018 Lim et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0190926 ;PMID: 29373599

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19
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
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Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

The Artificial intelligence review, 2019-06, Vol.52 (1), p.77-124 [Peer Reviewed Journal]

The Author(s) 2019 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-018-09679-z

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20
Using genetic data to strengthen causal inference in observational research
Using genetic data to strengthen causal inference in observational research
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Using genetic data to strengthen causal inference in observational research

Nature reviews. Genetics, 2018-09, Vol.19 (9), p.566-580 [Peer Reviewed Journal]

COPYRIGHT 2018 Nature Publishing Group ;COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Sep 2018 ;ISSN: 1471-0056 ;EISSN: 1471-0064 ;DOI: 10.1038/s41576-018-0020-3 ;PMID: 29872216

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