10.1371/journal.pone.0213829.t001
Yu Zhang
Yu
Zhang
Jennifer L. Pechal
Jennifer
L. Pechal
Carl J. Schmidt
Carl
J. Schmidt
Heather R. Jordan
Heather
R. Jordan
Wesley W. Wang
Wesley W.
Wang
M. Eric Benbow
M.
Eric Benbow
Sing-Hoi Sze
Sing-Hoi
Sze
Aaron M. Tarone
Aaron
M. Tarone
Confusion matrices for prediction of postmortem interval, event location, and manner of death with the microbiota from all anatomic locations (ears, eyes, nose, mouth, and rectum) using three machine learning methods: xgboost, random forest, and neural network.
Public Library of Science
2019
PMI
modeling postmortem microbiomes
death investigation
method
188 death cases
findings Postmortem microbiomes
population study Background
2019-04-15 17:27:09
Dataset
https://plos.figshare.com/articles/dataset/Confusion_matrices_for_prediction_of_postmortem_interval_event_location_and_manner_of_death_with_the_microbiota_from_all_anatomic_locations_ears_eyes_nose_mouth_and_rectum_using_three_machine_learning_methods_xgboost_random_forest_and_neural_network_/7994723
<p>The results for the three methods are put within the same table in the order of xgboost/ random forest/ neural network.</p>