Main factors influencing recovery in MERS Co-V patients using machine learning
Identifieur interne : 000489 ( Main/Exploration ); précédent : 000488; suivant : 000490Main factors influencing recovery in MERS Co-V patients using machine learning
Auteurs : Maya John [Inde] ; Hadil Shaiba [Arabie saoudite]Source :
- Journal of Infection and Public Health [ 1876-0341 ] ; 2019.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Analyse de régression, Analyse multivariée, Apprentissage machine, Arabie saoudite, Coronavirus du syndrome respiratoire du Moyen-Orient, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Indice de gravité médicale, Infections à coronavirus (mortalité), Jeune adulte, Machine à vecteur de support, Mâle, Nourrisson, Personnel de santé, Sujet âgé, Survie, Théorème de Bayes.
- MESH :
- mortalité : Infections à coronavirus.
- Adolescent, Adulte, Adulte d'âge moyen, Analyse de régression, Analyse multivariée, Apprentissage machine, Arabie saoudite, Coronavirus du syndrome respiratoire du Moyen-Orient, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Indice de gravité médicale, Jeune adulte, Machine à vecteur de support, Mâle, Nourrisson, Personnel de santé, Sujet âgé, Survie, Théorème de Bayes.
- Wicri :
- geographic : Arabie saoudite.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Bayes Theorem, Child, Child, Preschool, Coronavirus Infections (mortality), Female, Health Personnel, Humans, Infant, Machine Learning, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus, Multivariate Analysis, Regression Analysis, Saudi Arabia, Severity of Illness Index, Support Vector Machine, Survival, Young Adult.
- MESH :
- geographic : Saudi Arabia.
- mortality : Coronavirus Infections.
- Adolescent, Adult, Aged, Bayes Theorem, Child, Child, Preschool, Female, Health Personnel, Humans, Infant, Machine Learning, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus, Multivariate Analysis, Regression Analysis, Severity of Illness Index, Support Vector Machine, Survival, Young Adult.
Abstract
Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been a major cause of concern. This paper aims at identifying the major factors influencing MERS recovery in KSA.
The data used for analysis was collected from the Ministry of Health website, KSA. The important factors impelling the recovery are found using machine learning. Machine learning models such as support vector machine, conditional inference tree, naïve Bayes and J48 are modelled to identify the important factors. Univariate and multivariate logistic regression analysis is also carried out to identify the significant factors statistically.
The main factors influencing MERS recovery rate are identified as age, pre-existing diseases, severity of disease and whether the patient is a healthcare worker or not. In spite of MERS being a zoonotic disease, contact with camels is not a major factor influencing recovery.
The methods used were able to determine the prime factors influencing MERS recovery. It can be comprehended that awareness about symptoms and seeking medical intervention at the onset of development of symptoms will make a long way in reducing the mortality rate.
Url:
DOI: 10.1016/j.jiph.2019.03.020
PubMed: 30979679
PubMed Central: 7102802
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 000E48
- to stream Pmc, to step Curation: 000E48
- to stream Pmc, to step Checkpoint: 000251
- to stream PubMed, to step Corpus: 000572
- to stream PubMed, to step Curation: 000572
- to stream PubMed, to step Checkpoint: 002974
- to stream Ncbi, to step Merge: 002185
- to stream Ncbi, to step Curation: 002185
- to stream Ncbi, to step Checkpoint: 002185
- to stream Main, to step Merge: 000492
- to stream Main, to step Curation: 000489
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Main factors influencing recovery in MERS Co-V patients using machine learning</title><author><name sortKey="John, Maya" sort="John, Maya" uniqKey="John M" first="Maya" last="John">Maya John</name><affiliation wicri:level="1"><nlm:aff id="aff0005">Department of Computer Science and Engineering, Sree Buddha College of Engineering, Pathanamthitta, Kerala, India</nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Department of Computer Science and Engineering, Sree Buddha College of Engineering, Pathanamthitta, Kerala</wicri:regionArea><wicri:noRegion>Kerala</wicri:noRegion></affiliation></author><author><name sortKey="Shaiba, Hadil" sort="Shaiba, Hadil" uniqKey="Shaiba H" first="Hadil" last="Shaiba">Hadil Shaiba</name><affiliation wicri:level="1"><nlm:aff id="aff0010">Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh</wicri:regionArea><wicri:noRegion>Riyadh</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">30979679</idno><idno type="pmc">7102802</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102802</idno><idno type="RBID">PMC:7102802</idno><idno type="doi">10.1016/j.jiph.2019.03.020</idno><date when="2019">2019</date><idno type="wicri:Area/Pmc/Corpus">000E48</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000E48</idno><idno type="wicri:Area/Pmc/Curation">000E48</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000E48</idno><idno type="wicri:Area/Pmc/Checkpoint">000251</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000251</idno><idno type="wicri:source">PubMed</idno><idno type="RBID">pubmed:30979679</idno><idno type="wicri:Area/PubMed/Corpus">000572</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000572</idno><idno type="wicri:Area/PubMed/Curation">000572</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000572</idno><idno type="wicri:Area/PubMed/Checkpoint">002974</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">002974</idno><idno type="wicri:Area/Ncbi/Merge">002185</idno><idno type="wicri:Area/Ncbi/Curation">002185</idno><idno type="wicri:Area/Ncbi/Checkpoint">002185</idno><idno type="wicri:doubleKey">1876-0341:2019:John M:main:factors:influencing</idno><idno type="wicri:Area/Main/Merge">000492</idno><idno type="wicri:Area/Main/Curation">000489</idno><idno type="wicri:Area/Main/Exploration">000489</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Main factors influencing recovery in MERS Co-V patients using machine learning</title><author><name sortKey="John, Maya" sort="John, Maya" uniqKey="John M" first="Maya" last="John">Maya John</name><affiliation wicri:level="1"><nlm:aff id="aff0005">Department of Computer Science and Engineering, Sree Buddha College of Engineering, Pathanamthitta, Kerala, India</nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Department of Computer Science and Engineering, Sree Buddha College of Engineering, Pathanamthitta, Kerala</wicri:regionArea><wicri:noRegion>Kerala</wicri:noRegion></affiliation></author><author><name sortKey="Shaiba, Hadil" sort="Shaiba, Hadil" uniqKey="Shaiba H" first="Hadil" last="Shaiba">Hadil Shaiba</name><affiliation wicri:level="1"><nlm:aff id="aff0010">Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>Department of Computer Science, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh</wicri:regionArea><wicri:noRegion>Riyadh</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of Infection and Public Health</title><idno type="ISSN">1876-0341</idno><idno type="eISSN">1876-035X</idno><imprint><date when="2019">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Bayes Theorem</term><term>Child</term><term>Child, Preschool</term><term>Coronavirus Infections (mortality)</term><term>Female</term><term>Health Personnel</term><term>Humans</term><term>Infant</term><term>Machine Learning</term><term>Male</term><term>Middle Aged</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Multivariate Analysis</term><term>Regression Analysis</term><term>Saudi Arabia</term><term>Severity of Illness Index</term><term>Support Vector Machine</term><term>Survival</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de régression</term><term>Analyse multivariée</term><term>Apprentissage machine</term><term>Arabie saoudite</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Femelle</term><term>Humains</term><term>Indice de gravité médicale</term><term>Infections à coronavirus (mortalité)</term><term>Jeune adulte</term><term>Machine à vecteur de support</term><term>Mâle</term><term>Nourrisson</term><term>Personnel de santé</term><term>Sujet âgé</term><term>Survie</term><term>Théorème de Bayes</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Saudi Arabia</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Infections à coronavirus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Bayes Theorem</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Health Personnel</term><term>Humans</term><term>Infant</term><term>Machine Learning</term><term>Male</term><term>Middle Aged</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Multivariate Analysis</term><term>Regression Analysis</term><term>Severity of Illness Index</term><term>Support Vector Machine</term><term>Survival</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de régression</term><term>Analyse multivariée</term><term>Apprentissage machine</term><term>Arabie saoudite</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Femelle</term><term>Humains</term><term>Indice de gravité médicale</term><term>Jeune adulte</term><term>Machine à vecteur de support</term><term>Mâle</term><term>Nourrisson</term><term>Personnel de santé</term><term>Sujet âgé</term><term>Survie</term><term>Théorème de Bayes</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Arabie saoudite</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been a major cause of concern. This paper aims at identifying the major factors influencing MERS recovery in KSA.</p></sec><sec><title>Methods</title><p>The data used for analysis was collected from the Ministry of Health website, KSA. The important factors impelling the recovery are found using machine learning. Machine learning models such as support vector machine, conditional inference tree, naïve Bayes and J48 are modelled to identify the important factors. Univariate and multivariate logistic regression analysis is also carried out to identify the significant factors statistically.</p></sec><sec><title>Result</title><p>The main factors influencing MERS recovery rate are identified as age, pre-existing diseases, severity of disease and whether the patient is a healthcare worker or not. In spite of MERS being a zoonotic disease, contact with camels is not a major factor influencing recovery.</p></sec><sec><title>Conclusion</title><p>The methods used were able to determine the prime factors influencing MERS recovery. It can be comprehended that awareness about symptoms and seeking medical intervention at the onset of development of symptoms will make a long way in reducing the mortality rate.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Morens, D M" uniqKey="Morens D">D.M. Morens</name></author><author><name sortKey="Folkers, G K" uniqKey="Folkers G">G.K. Folkers</name></author><author><name sortKey="Fauci, A S" uniqKey="Fauci A">A.S. Fauci</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zaki, A M" uniqKey="Zaki A">A.M. Zaki</name></author><author><name sortKey="Van Boheemen, S" uniqKey="Van Boheemen S">S. Van Boheemen</name></author><author><name sortKey="Bestebroer, T M" uniqKey="Bestebroer T">T.M. Bestebroer</name></author><author><name sortKey="Osterhaus, A D M E" uniqKey="Osterhaus A">A.D.M.E. Osterhaus</name></author><author><name sortKey="Fouchier, R A M" uniqKey="Fouchier R">R.A.M. Fouchier</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Arabi, Y M" uniqKey="Arabi Y">Y.M. Arabi</name></author><author><name sortKey="Bouchama, A" uniqKey="Bouchama A">A. Bouchama</name></author><author><name sortKey="Luke, T" uniqKey="Luke T">T. Luke</name></author><author><name sortKey="Baillie, J K" uniqKey="Baillie J">J.K. Baillie</name></author><author><name sortKey="Al Omari, A" uniqKey="Al Omari A">A. Al Omari</name></author><author><name sortKey="Hajeer, A H" uniqKey="Hajeer A">A.H. Hajeer</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Cotten, M" uniqKey="Cotten M">M. Cotten</name></author><author><name sortKey="Watson, S J" uniqKey="Watson S">S.J. Watson</name></author><author><name sortKey="Kellam, P" uniqKey="Kellam P">P. Kellam</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Gossner, C" uniqKey="Gossner C">C. Gossner</name></author><author><name sortKey="Danielson, N" uniqKey="Danielson N">N. Danielson</name></author><author><name sortKey="Gervelmeyer, A" uniqKey="Gervelmeyer A">A. Gervelmeyer</name></author><author><name sortKey="Berthe, F" uniqKey="Berthe F">F. Berthe</name></author><author><name sortKey="Faye, B" uniqKey="Faye B">B. Faye</name></author><author><name sortKey="Kaasik Aaslav, K" uniqKey="Kaasik Aaslav K">K. Kaasik Aaslav</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Azhar, E I" uniqKey="Azhar E">E.I. Azhar</name></author><author><name sortKey="El Kafrawy, S A" uniqKey="El Kafrawy S">S.A. El-Kafrawy</name></author><author><name sortKey="Farraj, S A" uniqKey="Farraj S">S.A. Farraj</name></author><author><name sortKey="Hassan, A M" uniqKey="Hassan A">A.M. Hassan</name></author><author><name sortKey="Al Saeed, M S" uniqKey="Al Saeed M">M.S. Al-Saeed</name></author><author><name sortKey="Hashem, A M" uniqKey="Hashem A">A.M. Hashem</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kasem, S" uniqKey="Kasem S">S. Kasem</name></author><author><name sortKey="Qasim, I" uniqKey="Qasim I">I. Qasim</name></author><author><name sortKey="Al Hufofi, A" uniqKey="Al Hufofi A">A. Al-Hufofi</name></author><author><name sortKey="Hashim, O" uniqKey="Hashim O">O. Hashim</name></author><author><name sortKey="Alkarar, A" uniqKey="Alkarar A">A. Alkarar</name></author><author><name sortKey="Abu Obeida, A" uniqKey="Abu Obeida A">A. Abu-Obeida</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Assiri, A" uniqKey="Assiri A">A. Assiri</name></author><author><name sortKey="Mcgeer, A" uniqKey="Mcgeer A">A. McGeer</name></author><author><name sortKey="Perl, T M" uniqKey="Perl T">T.M. Perl</name></author><author><name sortKey="Price, C S" uniqKey="Price C">C.S. Price</name></author><author><name sortKey="Al Rabeeah, A A" uniqKey="Al Rabeeah A">A.A. Al Rabeeah</name></author><author><name sortKey="Cummings, D A T" uniqKey="Cummings D">D.A.T. Cummings</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Memish, Z A" uniqKey="Memish Z">Z.A. Memish</name></author><author><name sortKey="Zumla, A I" uniqKey="Zumla A">A.I. Zumla</name></author><author><name sortKey="Al Hakeem, R F" uniqKey="Al Hakeem R">R.F. Al-Hakeem</name></author><author><name sortKey="Al Rabeeah, A A" uniqKey="Al Rabeeah A">A.A. Al-Rabeeah</name></author><author><name sortKey="Stephens, G M" uniqKey="Stephens G">G.M. Stephens</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Omrani, A S" uniqKey="Omrani A">A.S. Omrani</name></author><author><name sortKey="Matin, M A" uniqKey="Matin M">M.A. Matin</name></author><author><name sortKey="Haddad, Q" uniqKey="Haddad Q">Q. Haddad</name></author><author><name sortKey="Al Nakhli, D" uniqKey="Al Nakhli D">D. Al-Nakhli</name></author><author><name sortKey="Memish, Z A" uniqKey="Memish Z">Z.A. Memish</name></author><author><name sortKey="Albarrak, A M" uniqKey="Albarrak A">A.M. Albarrak</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Memish, Z A" uniqKey="Memish Z">Z.A. Memish</name></author><author><name sortKey="Cotten, M" uniqKey="Cotten M">M. Cotten</name></author><author><name sortKey="Watson, S J" uniqKey="Watson S">S.J. Watson</name></author><author><name sortKey="Kellam, P" uniqKey="Kellam P">P. Kellam</name></author><author><name sortKey="Zumla, A" uniqKey="Zumla A">A. Zumla</name></author><author><name sortKey="Alhakeem, R F" uniqKey="Alhakeem R">R.F. Alhakeem</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hui, D S" uniqKey="Hui D">D.S. Hui</name></author><author><name sortKey="Azhar, E I" uniqKey="Azhar E">E.I. Azhar</name></author><author><name sortKey="Kim, Y J" uniqKey="Kim Y">Y.-J. Kim</name></author><author><name sortKey="Memish, Z A" uniqKey="Memish Z">Z.A. Memish</name></author><author><name sortKey="Oh, M" uniqKey="Oh M">M. Oh</name></author><author><name sortKey="Zumla, A" uniqKey="Zumla A">A. Zumla</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Breban, R" uniqKey="Breban R">R. Breban</name></author><author><name sortKey="Riou, J" uniqKey="Riou J">J. Riou</name></author><author><name sortKey="Fontanet, A" uniqKey="Fontanet A">A. Fontanet</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Al Mohrej, O A" uniqKey="Al Mohrej O">O.A. Al-Mohrej</name></author><author><name sortKey="Al Shirian, S D" uniqKey="Al Shirian S">S.D. Al-Shirian</name></author><author><name sortKey="Al Otaibi, S K" uniqKey="Al Otaibi S">S.K. Al-Otaibi</name></author><author><name sortKey="Tamim, H M" uniqKey="Tamim H">H.M. Tamim</name></author><author><name sortKey="Masuadi, E M" uniqKey="Masuadi E">E.M. Masuadi</name></author><author><name sortKey="Fakhoury, H M" uniqKey="Fakhoury H">H.M. Fakhoury</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bawazir, A" uniqKey="Bawazir A">A. Bawazir</name></author><author><name sortKey="Al Mazroo, E" uniqKey="Al Mazroo E">E. Al-Mazroo</name></author><author><name sortKey="Jradi, H" uniqKey="Jradi H">H. Jradi</name></author><author><name sortKey="Ahmed, A" uniqKey="Ahmed A">A. Ahmed</name></author><author><name sortKey="Badri, M" uniqKey="Badri M">M. Badri</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Alsahaf, A J" uniqKey="Alsahaf A">A.J. Alsahaf</name></author><author><name sortKey="Cheng, A C" uniqKey="Cheng A">A.C. Cheng</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yang, Y M" uniqKey="Yang Y">Y.-M. Yang</name></author><author><name sortKey="Hsu, C Y" uniqKey="Hsu C">C.-Y. Hsu</name></author><author><name sortKey="Lai, C C" uniqKey="Lai C">C.-C. Lai</name></author><author><name sortKey="Yen, M F" uniqKey="Yen M">M.-F. Yen</name></author><author><name sortKey="Wikramaratna, P S" uniqKey="Wikramaratna P">P.S. Wikramaratna</name></author><author><name sortKey="Chen, H H" uniqKey="Chen H">H.-H. Chen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rivers, C M" uniqKey="Rivers C">C.M. Rivers</name></author><author><name sortKey="Majumder, M S" uniqKey="Majumder M">M.S. Majumder</name></author><author><name sortKey="Lofgren, E T" uniqKey="Lofgren E">E.T. Lofgren</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ahmed, A E" uniqKey="Ahmed A">A.E. Ahmed</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Al Turaiki, I" uniqKey="Al Turaiki I">I. Al-Turaiki</name></author><author><name sortKey="Alshahrani, M" uniqKey="Alshahrani M">M. Alshahrani</name></author><author><name sortKey="Almutairi, T" uniqKey="Almutairi T">T. Almutairi</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Abdullah, M" uniqKey="Abdullah M">M. Abdullah</name></author><author><name sortKey="Altheyab, M S" uniqKey="Altheyab M">M.S. Altheyab</name></author><author><name sortKey="Lattas, A M" uniqKey="Lattas A">A.M. Lattas</name></author><author><name sortKey="Algashmari, W F" uniqKey="Algashmari W">W.F. Algashmari</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Li, E Y" uniqKey="Li E">E.Y. Li</name></author><author><name sortKey="Tung, C Y" uniqKey="Tung C">C.Y. Tung</name></author><author><name sortKey="Chang, S H" uniqKey="Chang S">S.H. Chang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wiemken, T L" uniqKey="Wiemken T">T.L. Wiemken</name></author><author><name sortKey="Furmanek, S P" uniqKey="Furmanek S">S.P. Furmanek</name></author><author><name sortKey="Mattingly, W A" uniqKey="Mattingly W">W.A. Mattingly</name></author><author><name sortKey="Guinn, B E" uniqKey="Guinn B">B.E. Guinn</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Quinlan, R" uniqKey="Quinlan R">R. Quinlan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Majumder, M S" uniqKey="Majumder M">M.S. Majumder</name></author><author><name sortKey="Kluberg, S A" uniqKey="Kluberg S">S.A. Kluberg</name></author><author><name sortKey="Mekaru, S R" uniqKey="Mekaru S">S.R. Mekaru</name></author><author><name sortKey="Brownstein, J S" uniqKey="Brownstein J">J.S. Brownstein</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ahmed, A E" uniqKey="Ahmed A">A.E. Ahmed</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chen, X" uniqKey="Chen X">X. Chen</name></author><author><name sortKey="Chughtai, A A" uniqKey="Chughtai A">A.A. Chughtai</name></author><author><name sortKey="Dyda, A" uniqKey="Dyda A">A. Dyda</name></author><author><name sortKey="Macintyre, C R" uniqKey="Macintyre C">C.R. Macintyre</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Arabie saoudite</li><li>Inde</li></country></list><tree><country name="Inde"><noRegion><name sortKey="John, Maya" sort="John, Maya" uniqKey="John M" first="Maya" last="John">Maya John</name></noRegion></country><country name="Arabie saoudite"><noRegion><name sortKey="Shaiba, Hadil" sort="Shaiba, Hadil" uniqKey="Shaiba H" first="Hadil" last="Shaiba">Hadil Shaiba</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000489 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000489 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= MersV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= PMC:7102802
|texte= Main factors influencing recovery in MERS Co-V patients using machine learning
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:30979679" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a MersV1
| This area was generated with Dilib version V0.6.33. |  |