Data-Driven Disease Progression Modeling Article Swipe
Kenney Ng
,
Mohamed Ghalwash
,
Prithwish Chakraborty
,
Daby Sow
,
Akira Koseki
,
Hiroki Yanagisawa
,
Michiharu Kudo
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-031-07912-2_17
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-031-07912-2_17
This chapter provides a comprehensive overview to data driven disease progression modeling techniques. It adopts a broad approach to disease progression, focusing on all computational methods able to model any temporal aspects of disease progression. Consequently, we have focused on three classes of analysis: staging and trajectory estimation analysis to better understand the course of a disease, predictive classification analysis for important disease related event prediction, and time to event analysis with survival models to estimate when clinically significant events are expected to occur during the progression of a disease. We describe the state of the art in each of these classes, together with discussions on challenges and opportunities for additional research.
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Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.1007/978-3-031-07912-2_17
- OA Status
- hybrid
- Cited By
- 1
- References
- 80
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- OpenAlex ID
- https://openalex.org/W4313055772
All OpenAlex metadata
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https://openalex.org/W4313055772Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/978-3-031-07912-2_17Digital Object Identifier
- Title
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Data-Driven Disease Progression ModelingWork title
- Type
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book-chapterOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
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Kenney Ng, Mohamed Ghalwash, Prithwish Chakraborty, Daby Sow, Akira Koseki, Hiroki Yanagisawa, Michiharu KudoList of authors in order
- Landing page
-
https://doi.org/10.1007/978-3-031-07912-2_17Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1007/978-3-031-07912-2_17Direct OA link when available
- Concepts
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Disease, Computer science, Medicine, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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80Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.event | 64, 69 |
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| abstract_inverted_index.state | 93 |
| abstract_inverted_index.these | 100 |
| abstract_inverted_index.three | 40 |
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| abstract_inverted_index.better | 50 |
| abstract_inverted_index.course | 53 |
| abstract_inverted_index.driven | 8 |
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| abstract_inverted_index.events | 79 |
| abstract_inverted_index.models | 73 |
| abstract_inverted_index.aspects | 31 |
| abstract_inverted_index.chapter | 1 |
| abstract_inverted_index.classes | 41 |
| abstract_inverted_index.disease | 9, 19, 33, 62 |
| abstract_inverted_index.focused | 38 |
| abstract_inverted_index.methods | 25 |
| abstract_inverted_index.related | 63 |
| abstract_inverted_index.staging | 44 |
| abstract_inverted_index.analysis | 48, 59, 70 |
| abstract_inverted_index.approach | 17 |
| abstract_inverted_index.classes, | 101 |
| abstract_inverted_index.describe | 91 |
| abstract_inverted_index.disease, | 56 |
| abstract_inverted_index.disease. | 89 |
| abstract_inverted_index.estimate | 75 |
| abstract_inverted_index.expected | 81 |
| abstract_inverted_index.focusing | 21 |
| abstract_inverted_index.modeling | 11 |
| abstract_inverted_index.overview | 5 |
| abstract_inverted_index.provides | 2 |
| abstract_inverted_index.survival | 72 |
| abstract_inverted_index.temporal | 30 |
| abstract_inverted_index.together | 102 |
| abstract_inverted_index.analysis: | 43 |
| abstract_inverted_index.important | 61 |
| abstract_inverted_index.research. | 111 |
| abstract_inverted_index.additional | 110 |
| abstract_inverted_index.challenges | 106 |
| abstract_inverted_index.clinically | 77 |
| abstract_inverted_index.estimation | 47 |
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| abstract_inverted_index.trajectory | 46 |
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| abstract_inverted_index.discussions | 104 |
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| abstract_inverted_index.techniques. | 12 |
| abstract_inverted_index.progression, | 20 |
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| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5070430680 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I1341412227 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.64425415 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |