Cited by 35Big Data and Business IntelligenceData Mining and Machine Learning ApplicationsArtificial Intelligence in Healthcare

Descriptive, Predictive, and Prescriptive Analytics

El Morr, Christo, Ali-Hassan, Hossam·2019·SpringerBriefs in Health Care Management and Economics

Integrity signals

Registry

Crossref · 10.1007/978-3-030-04506-7_3

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Advances in techniques for predictive and prescriptive data analytics and increased availability of data via IoT devices is shifting IoT to analytics-driven actuation.

    “Such advances in techniques for conducting predictive and prescriptive data analytics and increased availability of data via the IoT devices is shifting IoT to analytics-driven actuation i.e.IoT application are increasingly being developed to extract high value knowledge from the IoT data that allows them to take actions on behalf of humans [8].”

    From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [8]

  • Healthcare analytics that allow collection of objective data, such as app or website use, to predict healthcare outcomes using machine learning approaches constitute an approach that has been overlooked so far in online mental health interventions.

    “Finally, healthcare analytics that allow the collection of objective data [59–61], such as app or website use, to predict healthcare outcomes using machine learning approaches [60, 62] constitute an approach that has been overlooked so far in online mental health interventions.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
El Morr, C., & Ali-Hassan, H.
Venue
SpringerBriefs in Health Care Management and Economics
Published
2019
Pages
31-55
ISSN
  • 2193-1704 (ISSN-L)
  • 2193-1712
OpenAlex
W2915058771
Cited by
35
References
17
Citations by year
2026: 2 · 2025: 7 · 2024: 4 · 2023: 6 · 2022: 8 · 2021: 6 · 2019: 1 · 2016: 1
FWCI
18.64
Type
book chapter
Language
en
Open access
closed
Locations
SpringerBriefs in health care management and economics (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
descriptive analytics, predictive analytics, prescriptive analytics, data mining, machine learning, artificial intelligence, supervised learning, unsupervised learning, multidimensional data, data extraction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review