Paper Citation Record · LEDGER

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2411.18759.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.18759 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:57:51.983426Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy11
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2912b159-1afd-447e-8619-e42ac5e8ca27 · outbound

This paper cites In healthcare, information can be converted into knowledge about patient historical patterns and possible future trends.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers In healthcare, information can be converted into knowledge about patient historical patterns and possible future trends

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.227699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4936dac7-a1a0-4625-aa13-16a7e79c6893 · outbound

This paper cites Available from: https://www.researchgate.net/figure/Proposed-pseudo-code-of the-SVM-algorithm_fig1_329793718 [accessed 6 Dec, 2020].

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Available from: https://www.researchgate.net/figure/Proposed-pseudo-code-of the-SVM-algorithm_fig1_329793718 [accessed 6 Dec, 2020]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.168299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 814efeb4-d2a2-45d7-aa10-de5622b8f450 · outbound

This paper cites personid: The ID of the person associated with the result result: The display name of the test or measurement numericvalue: The nsumeric value of the result.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers personid: The ID of the person associated with the result result: The display name of the test or measurement numericvalue: The nsumeric value of the result

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.218173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af24d2e3-95e5-4104-b44b-8c70c84f4965 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.208320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 305a2ea8-25b2-44d9-8ec0-b17090c16e04 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.199093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c1f883e7-bbb4-46aa-ae47-2fa5b53e4631 · outbound

This paper cites } A distance function /;45(O! ,O&) function 73;2-2Oℎ;O-PQPR4532(S,3T4,U;.V54): 1 for ; = 1 to . 2 Q = {%$} 3 end for 4 Q = {O!,…,O.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers } A distance function /;45(O! ,O&) function 73;2-2Oℎ;O-PQPR4532(S,3T4,U;.V54): 1 for ; = 1 to . 2 Q = {%$} 3 end for 4 Q = {O!,…,O

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.189681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7d60cb2-b04d-46a5-a0d6-601f1c51033c · outbound

This paper cites Available from: https://machinelearningmastery.com/model-based-outlier-detection-and-removal-in-python/[accessed 6 Dec, 2020].

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Available from: https://machinelearningmastery.com/model-based-outlier-detection-and-removal-in-python/[accessed 6 Dec, 2020]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.179164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f19ffc6-8799-451f-8fff-89824a99ca46 · outbound

This paper cites Available from: https://www.researchgate.net/figure/Pseudocode-for-SVM-Classifier_fig1_331875695[accessed 4 Dec, 2020].

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Available from: https://www.researchgate.net/figure/Pseudocode-for-SVM-Classifier_fig1_331875695[accessed 4 Dec, 2020]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.157588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e8a4d2f-2254-4f6d-9e15-60c3481d621c · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.146525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d15a448-1fa3-4d05-91fc-9901447e2699 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.073145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ec46bca-b51b-4fcb-94b8-a45fe2288258 · outbound

This paper cites Available from: https://cse.buffalo.edu/~jing/cse601/fa13/materials/clustering_density.pdf [accessed 5 Dec, 2020].

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Available from: https://cse.buffalo.edu/~jing/cse601/fa13/materials/clustering_density.pdf [accessed 5 Dec, 2020]

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.125579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 52a59e08-245e-4a02-b0df-50e8e143c3be · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.114952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bfd847d6-3f7c-4efb-8442-5a821648b6c5 · outbound

This paper cites Available from: https://towardsdatascience.com/feature-selection-techniques-in-machine-learning-with-python-f24e7da3f36e[accessed 5 Dec, 2020].

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Available from: https://towardsdatascience.com/feature-selection-techniques-in-machine-learning-with-python-f24e7da3f36e[accessed 5 Dec, 2020]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.104787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8997fca3-d651-4105-94da-08921d5281ff · outbound

This paper cites Available from: https://www.saedsayad.com/clustering_hierarchical.htm [accessed 6 Dec, 2020].

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Available from: https://www.saedsayad.com/clustering_hierarchical.htm [accessed 6 Dec, 2020]

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.094397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 880b5151-db1d-4a15-a10b-e100e37df917 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.083302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5137d3d2-af1b-4658-91a9-c3cbd948dddd · outbound

This paper cites S., Wendell, P., Das, T., Armbrust, M., Dave, A., … others.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers S., Wendell, P., Das, T., Armbrust, M., Dave, A., … others

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.020897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea261ede-52ce-41e0-a1ec-52a5be268339 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.061381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20448cd5-93f9-4622-b63c-f9d8b7ae7ce2 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.051256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b8e8158-c757-4607-8e05-f9a4c6974738 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.135946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5a87b16-e838-4ccf-830c-426c9f5c0d03 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:57:52.041276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4fe334cd-3941-44d9-a27e-695ae143d691 · outbound

This paper cites 2825-2830, 2011[accessed 1 Dec, 2020].

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers 2825-2830, 2011[accessed 1 Dec, 2020]

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:52.031232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 387761e2-efff-44b6-8ed1-4013d15fe564 · outbound

This paper cites an unresolved cited work.

Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:51.979816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.