{"id":"W2740749606","doi":"10.1371/journal.pone.0180830","title":"Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Scalability; Particle swarm optimization; Data mining; Swarm behaviour; Heuristic; Machine learning; Algorithm; Classifier (UML); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002598634,0.000875428,0.001170611,0.001281612,0.000641028,0.0009437348,0.001154845,0.0008170966,0.0007905587],"category_scores_gemma":[0.006088841,0.000392475,0.000616784,0.0009210097,0.0005732075,0.001364121,0.0008022403,0.001071833,0.0002698496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006973901,"about_ca_system_score_gemma":0.0007728861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086272,"about_ca_topic_score_gemma":0.002701341,"domain_scores_codex":[0.9992939,0.0002591044,0.00005780998,0.0001567738,0.000168775,0.00006354418],"domain_scores_gemma":[0.9975626,0.001445493,0.0003494866,0.0001839346,0.0003607007,0.00009770464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000233762,0.0001353155,0.003590786,0.00008085797,0.0001076683,0.00008070982,0.0001801987,0.8413925,0.003199687,0.006743008,0.001754968,0.1425006],"study_design_scores_gemma":[0.00001063766,0.00002161947,0.0002335562,0.000003313191,0.000004925053,0.000008474814,0.00001594354,0.9968091,0.0003789931,0.002267033,0.0002432532,0.000003271338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04228513,0.0004329002,0.9554628,0.0003390279,0.00009808876,0.00007454888,0.00006006863,0.0003956738,0.0008517838],"genre_scores_gemma":[0.6695074,0.0003732434,0.3277385,0.0002204244,0.000184407,0.0002218818,0.0003784887,0.0000847835,0.00129076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003086272,"threshold_uncertainty_score":0.01374304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1822312412829347,"score_gpt":0.3361120671541294,"score_spread":0.1538808258711948,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}