Lukas De Clercq, Jelle C L Himmelreich, Ralf E Harskamp
Quality of heart failure registration in primary care: observations from 1 million electronic health records in the Amsterdam Metropolitan Area
Diagnosis (Berlin, Germany)
fetal alcohol spectrum disorders include variety physical neurocognitive disorders caused prenatal alcohol exposure although overall prevalence around 077 fasd remains underdiagnosed little known partly due complexity diagnosis shares symptoms pathologies autism spectrum depression hyperactivity disorders study included 73 control 158 patients diagnosed fasd variables selected based iom classification 2016 including sociodemographic clinical psychological characteristics statistical analysis included kruskalwallis test quantitative factors chisquare test qualitative variables machine learning ml algorithms predictions study explores application ml diagnosing fasd subtypes fetal alcohol syndrome fas partial fas pfas alcoholrelated neurodevelopmental disorder arnd ml constructed profile fasd based sociodemographic clinical psychological data children fasd compared control group random forest rf model efficient predicting fasd achieving highest metrics accuracy 092 precision 096 sensitivity 092 f1 score 094 specificity 092 auc 092 fas xgboost model obtained highest accuracy 094 precision 091 sensitivity 091 f1 score 091 specificity 096 auc 093 case pfas rf model showed effectiveness high levels accuracy 090 precision 086 sensitivity 096 f1 score 091 specificity 083 auc 090 arnd rf model obtained best levels accuracy 087 precision 076 sensitivity 093 f1 score 084 specificity 083 auc 088 study identified key variables efficient fasd screening including traditional clinical characteristics like maternal alcohol consumption lipphiltrum microcephaly height weight impairment well neuropsychological variables working memory index wmi aggressive behavior iq somatic complaints depressive problems findings emphasize importance ml analyses early diagnoses fasd allowing better understanding fasd subtypes potentially improve clinical practice avoid misdiagnosis