TY - JOUR AU - Weinreich, Marcel AU - McDonough, Harry AU - Heverin, Mark AU - Domhnaill, Éanna Mac AU - Yacovzada, Nancy AU - Magen, Iddo AU - Cohen, Yahel AU - Harvey, Calum AU - Elazzab, Ahmed AU - Gornall, Sarah AU - Boddy, Sarah AU - Alix, James J P AU - Kurz, Julian M AU - Kenna, Kevin P AU - Zhang, Sai AU - Iacoangeli, Alfredo AU - Al-Khleifat, Ahmad AU - Snyder, Michael P AU - Hobson, Esther AU - Chio, Adriano AU - Malaspina, Andrea AU - Hermann, Andreas AU - Ingre, Caroline AU - Costa, Juan Vazquez AU - van den Berg, Leonard AU - Panadés, Monica Povedano AU - van Damme, Philip AU - Corcia, Phillipe AU - de Carvalho, Mamede AU - Al-Chalabi, Ammar AU - Hornstein, Eran AU - Elhaik, Eran AU - Shaw, Pamela J AU - Hardiman, Orla AU - McDermott, Christopher AU - Cooper-Knock, Johnathan TI - Optimised machine learning for time-to-event prediction in healthcare applied to timing of gastrostomy in ALS: a multi-centre, retrospective model development and validation study. JO - EBioMedicine VL - 121 SN - 2352-3964 CY - Amsterdam [u.a.] PB - Elsevier M1 - DZNE-2025-01271 SP - 105962 PY - 2025 AB - Amyotrophic lateral sclerosis (ALS) is invariably fatal but there are large variations in the rate of progression. The lack of predictability can make it difficult to plan clinical interventions. This includes the requirement for gastrostomy where early or late placement can adversely impact quality of life and survival.We designed a model to predict the timing of gastrostomy requirement in ALS as indicated by 5 KW - Humans KW - Gastrostomy: methods KW - Amyotrophic Lateral Sclerosis: diagnosis KW - Amyotrophic Lateral Sclerosis: surgery KW - Amyotrophic Lateral Sclerosis: therapy KW - Machine Learning KW - Male KW - Female KW - Retrospective Studies KW - Middle Aged KW - Aged KW - Europe KW - Bayes Theorem KW - Amyotrophic lateral sclerosis (ALS) (Other) KW - Gastrostomy (Other) KW - Machine learning (Other) KW - Personalised medicine (Other) KW - Time-to-event prediction (Other) LB - PUB:(DE-HGF)16 C6 - pmid:41075354 C2 - pmc:PMC12547709 DO - DOI:10.1016/j.ebiom.2025.105962 UR - https://pub.dzne.de/record/282301 ER -