{"doi":"10.1016/j.gpeds.2024.100220","title":"Leveraging machine learning to study how temperament scores predict pre-term birth status","abstract":"Background: Preterm birth (birth at <37 completed weeks gestation) is a significant public heatlh concern worldwide. Important health, and developmental consequences of preterm birth include altered temperament development, with greater dysregulation and distress proneness. Aims: The present study leveraged advanced quantitative techniques, namely machine learning approaches, to discern the contribution of narrowly defined and broadband temperament dimensions to birth status classification (full-term vs. preterm). Along with contributing to the literature addressing temperament of infants born preterm, the present study serves as a methodological demonstration of these innovative statistical techniques. Study design: = 402) born at term, with data combined across investigations to perform classification analyses. Subjects: Participants included infants born preterm and term-born comparison children, either matched on chronological age or age adjusted for prematurity. Outcome measures: Infant Behavior Questionnaire-Revised Very Short Form (IBQ-R VSF) was completed by mothers, with factor and item-level data considered herein. Results and conclusions: Accuracy estimates were generally similar regardless of the comparison groups. Results indicated a slightly higher accuracy and efficiency for IBQR-VSF item-based models vs. factor-level models. Divergent patterns of feature importance (i.e., the extent to which a factor/item contributed to classification) were observed for the two comparison groups (chronological age vs. adjusted age) using factor-level scores; however, itemized models indicated that the two most critical items were associated with effortful control and negative emotionality regardless of comparison group.","journal":"Global Pediatrics","year":2024,"id":480787,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9541,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":31030,"name":"Jennifer A. 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Grandits","orcid":"0000-0002-5028-3972","position":9,"is_corresponding":false},{"id":439825,"name":"Christine Dunkel Schetter","orcid":"0000-0002-2671-0647","position":10,"is_corresponding":false},{"id":464405,"name":"Mary Coussons‐Read","orcid":null,"position":11,"is_corresponding":false},{"id":1176254,"name":"Amanda R. Tarullo","orcid":"0000-0002-8351-4909","position":12,"is_corresponding":false},{"id":512285,"name":"Sarah J. Schoppe‐Sullivan","orcid":"0000-0001-8621-9828","position":13,"is_corresponding":false},{"id":285157,"name":"Moriah E. Thomason","orcid":"0000-0001-9745-1147","position":14,"is_corresponding":false},{"id":1320620,"name":"Julie.M. Braungart-Rieker","orcid":null,"position":15,"is_corresponding":false},{"id":229206,"name":"Julie C. Lumeng","orcid":null,"position":16,"is_corresponding":false},{"id":686158,"name":"Shannon N. Lenze","orcid":"0000-0003-3410-3561","position":17,"is_corresponding":false},{"id":395866,"name":"Lisa M. Christian","orcid":"0000-0001-5571-050X","position":18,"is_corresponding":false},{"id":666503,"name":"Darby Saxbe","orcid":"0000-0001-8951-4216","position":19,"is_corresponding":false},{"id":369106,"name":"Laura R. Stroud","orcid":"0000-0002-2138-968X","position":20,"is_corresponding":false},{"id":590019,"name":"Christina M. Rodriguez","orcid":"0000-0002-5090-0707","position":21,"is_corresponding":false},{"id":454785,"name":"Stephanie Anzman‐Frasca","orcid":"0000-0003-3111-4011","position":22,"is_corresponding":false},{"id":526820,"name":"Maria A. Gartstein","orcid":"0000-0002-5866-7751","position":23,"is_corresponding":false},{"id":813419,"name":"Erich Seamon","orcid":"0000-0003-2073-4346","position":0,"is_corresponding":true}],"reference_count":11,"raw_metadata":null,"created_at":"2026-07-19T02:07:02.142014Z","pmid":"39301448","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}