A Hybrid Algorithm Combining Population Pharmacokinetic and Machine Learning for Isavuconazole Exposure Prediction Article Swipe
Alexandre Destère
,
Pierre Marquet
,
Marc Labriffe
,
Milou‐Daniel Drici
,
Jean‐Baptiste Woillard
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s11095-023-03507-y
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s11095-023-03507-y
Related Topics
Concepts
Metadata
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s11095-023-03507-y
- OA Status
- green
- Cited By
- 20
- References
- 33
- Related Works
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- OpenAlex ID
- https://openalex.org/W4361288713
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4361288713Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s11095-023-03507-yDigital Object Identifier
- Title
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A Hybrid Algorithm Combining Population Pharmacokinetic and Machine Learning for Isavuconazole Exposure PredictionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-29Full publication date if available
- Authors
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Alexandre Destère, Pierre Marquet, Marc Labriffe, Milou‐Daniel Drici, Jean‐Baptiste WoillardList of authors in order
- Landing page
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https://doi.org/10.1007/s11095-023-03507-yPublisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://unilim.hal.science/hal-04414322Direct OA link when available
- Concepts
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Mean squared error, Population, Pharmacokinetics, Medicine, Algorithm, Bayesian probability, NONMEM, Statistics, Mathematics, Internal medicine, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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20Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 11, 2023: 2Per-year citation counts (last 5 years)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| counts_by_year[1].cited_by_count | 11 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 2 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:HAL:hal-04414322v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402512 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | HAL (Le Centre pour la Communication Scientifique Directe) |
| best_oa_location.source.host_organization | https://openalex.org/I1294671590 |
| best_oa_location.source.host_organization_name | Centre National de la Recherche Scientifique |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1294671590 |
| best_oa_location.license | other-oa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Journal articles |
| best_oa_location.license_id | https://openalex.org/licenses/other-oa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Pharmaceutical Research, 2023, 40 (4), pp.951-959. ⟨10.1007/s11095-023-03507-y⟩ |
| best_oa_location.landing_page_url | https://unilim.hal.science/hal-04414322 |
| primary_location.id | doi:10.1007/s11095-023-03507-y |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S103865650 |
| primary_location.source.issn | 0724-8741, 1573-904X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0724-8741 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Pharmaceutical Research |
| primary_location.source.host_organization | https://openalex.org/P4310319900 |
| primary_location.source.host_organization_name | Springer Science+Business Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319900 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Pharmaceutical Research |
| primary_location.landing_page_url | https://doi.org/10.1007/s11095-023-03507-y |
| publication_date | 2023-03-29 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3110266508, https://openalex.org/W4281286990, https://openalex.org/W2793616356, https://openalex.org/W4200514868, https://openalex.org/W4289517348, https://openalex.org/W3164015288, https://openalex.org/W2588651832, https://openalex.org/W2086840464, https://openalex.org/W3014413945, https://openalex.org/W3164138694, https://openalex.org/W2999568963, https://openalex.org/W3182216942, https://openalex.org/W4295514656, https://openalex.org/W4281896091, https://openalex.org/W1919380120, https://openalex.org/W2415618052, https://openalex.org/W4210538188, https://openalex.org/W2189861011, https://openalex.org/W2903954192, https://openalex.org/W2944877455, https://openalex.org/W3092682593, https://openalex.org/W2990725098, https://openalex.org/W2981323645, https://openalex.org/W2509792196, https://openalex.org/W3190040583, https://openalex.org/W2128463316, https://openalex.org/W2132035840, https://openalex.org/W2155299664, https://openalex.org/W2263041506, https://openalex.org/W4223496984, https://openalex.org/W2295598076, https://openalex.org/W3102476541, https://openalex.org/W4220774040 |
| referenced_works_count | 33 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.98246693 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |