Source: Dahl , C , Petersen , I , Ilkjær , F V , Westh , L , Katzenstein , T L , Hansen , A B E , Nielsen , T L , Larsen , C S , Johansen , I S & Rasmussen , L D 2023 , ' Missed Opportunities to Diagnose

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Cerebral Palsy – Early Diagnosis and Intervention Trial:protocol for the prospective multicentre CP-EDIT study with focus on diagnosis, prognostic factors, and intervention

Authors : Hoei-Hansen, Christina Engel; Weber, Lene; Johansen, Mette

Subjects: Brain imaging; Cerebral palsy; Early diagnosis

Source: Hoei-Hansen , C E , Weber , L , Johansen , M , Fabricius , R , Hansen , J K , Viuff , A C F , Rønde , G , Hahn , G H , Østergaard , E , Duno , M , Larsen , V A , Madsen , C G , Røhder , K , Elvrum

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AUD-DSS: a decision support system for early detection of patients with alcohol use disorder

Authors : Ebrahimi, Ali; Wiil, Uffe Kock; Baskaran, Ruben

Subjects: Alcohol use disorder; Feature selection; Imbalanced data

Source: Ebrahimi , A , Wiil , U K , Baskaran , R , Peimankar , A , Andersen , K & Nielsen , A S 2023 , ' AUD-DSS: a decision support system for early detection of patients with

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Healthcare resource utilization in patients with myeloproliferative neoplasms:A Danish nationwide matched cohort study

Authors : Christensen, Sarah Friis; Svingel, Lise Skovgaard; Kjærsgaard, Anders

Subjects: ambulatory care; case–control studies; early diagnosis

Source: Christensen , S F , Svingel , L S , Kjærsgaard , A , Stenling , A , Darvalics , B , Paulsson , B , Andersen , C L , Christiansen , C F , Stentoft , J , Starklint , J , Severinsen , M T , Clausen , M

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Development and Validation of a Prediction Model for Early Diagnosis of SCN1A-Related Epilepsies

Authors : Brunklaus, Andreas; Pérez-Palma, Eduardo; Ghanty, Ismael

Subjects: Child; Cohort Studies; Early Diagnosis

Source: Brunklaus , A , Pérez-Palma , E , Ghanty , I , Xinge , J , Brilstra , E , Ceulemans , B , Chemaly , N , de Lange , I , Depienne , C , Guerrini , R , Mei , D , Møller , R S , Nabbout , R , Regan , B

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Personalized Predictive Models for Identifying Clinical Deterioration Using LSTM in Emergency Departments

Authors : Naemi, Amin; Schmidt, Thomas; Mansourvar, Marjan ...

Subjects: clinical deterioration; emergency department; health informatics

Source: Naemi , A , Schmidt , T , Mansourvar , M & Wiil , U K 2020 , Personalized Predictive Models for Identifying Clinical Deterioration Using LSTM in Emergency Departments . in A Värri , J Delgado , P

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What is the impact of rerouting a cancer diagnosis from emergency presentation to GP referral on resource use and survival?:Evidence from a population-based study

Authors : Laudicella, Mauro; Walsh, Brendan; Burns, Elaine

Subjects: Emergency Medical Services; General Practitioners; Health Care Costs

Source: Laudicella , M , Walsh , B , Burns , E , Li Donni , P & Smith , P C 2018 , ' What is the impact of rerouting a cancer diagnosis from emergency presentation to GP

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Gastroenteritis outbreaks on cruise ships:Contributing factors and thresholds for early outbreak detection

Authors : Mouchtouri, Varvara A; Verykouki, Eleni; Zamfir, Dumitru

Subjects: Adult; Diarrhea/epidemiology; Disease Notification

Source: Mouchtouri , V A , Verykouki , E , Zamfir , D , Hadjipetris , C , Lewis , H C , Hadjichristodoulou , C , EU SHIPSAN ACT partnership , Andrioti , D & Pilkova , M 2017 , ' Gastroenteritis outbreaks on

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How can postoperative delirium be predicted in advance?:A secondary analysis comparing three methods of early assessment in elderly patients

Authors : Stukenberg, Sebastian; Franck, Martin; Spies, Claudia D

Subjects: Aged; Anesthesia; General/adverse effects

Source: Stukenberg , S , Franck , M , Spies , C D , Neuner , B , Myers , I & Radtke , F M 2016 , ' How can postoperative delirium be predicted in advance? A secondary analysis comparing three methods of

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Do psychological and behavioral factors classified by the West Haven-Yale Multidimensional Pain Inventory (Swedish version) predict the early clinical course of low back pain in patients receiving chiropractic care?

Authors : Eklund, Erik A; Bergstrom, G.; Bodin, L.

Subjects: Low back pain MPI-S Psychological and behavioral factors Clinical course Chiropractic empirically derived taxonomy subpopulation program general-practice natural course acute neck long-term management subgroups questionnaire epidemiology Orthopedics Rheumatology; Chiropractic; Clinical course

Source: Eklund , E A , Bergstrom , G , Bodin , L & Axen , I 2016 , ' Do psychological and behavioral factors classified by the West Haven-Yale Multidimensional Pain Inventory (Swedish version) predict the

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