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2023
Mark Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
de Capretz, Pontus Olsson ^LU ; Björkelund, Anders ^LU ; Björk, Jonas ^LU ; Ohlsson, Mattias ^LU ; Mokhtari, Arash ^LU ; Nyström, Axel ^LU and Ekelund, Ulf ^LU (2023) In BMC Medical Informatics and Decision Making 23(1).
- Contribution to journal › Article
Mark A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications
Hall, Ola ^LU ; Dompae, Francis ; Wahab, Ibrahim ^LU and Dzanku, Fred Mawunyo (2023) In Journal of International Development 35(7). p.1753-1768
- Contribution to journal › Scientific review
Mark A phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes
Coral, Daniel E ^LU ; Fernandez-Tajes, Juan ^LU ; Tsereteli, Neli ^LU ; Pomares-Millan, Hugo ^LU ; Fitipaldi, Hugo ^LU ; Mutie, Pascal M ^LU ; Atabaki-Pasdar, Naeimeh ^LU ; Kalamajski, Sebastian ^LU ; Poveda, Alaitz ^LU and Miller-Fleming, Tyne W , et al. (2023) In Nature Metabolism 5(2). p.237-247
- Contribution to journal › Article
Mark Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods
Harkort, Lasse ^LU and Duan, Zheng ^LU (2023) In Water Research 229.
- Contribution to journal › Article
Mark Data Analysis in High-Energy Physics as a Differentiable Program
Simpson, Nathan ^LU (2023)
- Thesis › Doctoral thesis (monograph)
Mark Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children
Ng, Kenney ; Anand, Vibha ; Stavropoulos, Harry ; Veijola, Riitta ; Toppari, Jorma ; Maziarz, Marlena ^LU ; Lundgren, Markus ^LU ; Waugh, Kathy ; Frohnert, Brigitte I. and Martin, Frank , et al. (2023) In Diabetologia 66(1). p.93-104
- Contribution to journal › Article
Mark ChatGPT applications in medical, dental, pharmacy, and public health education : A descriptive study highlighting the advantages and limitations
Sallam, Malik ^LU ; Salim, Nesreen A. ; Barakat, Muna and Al-Tammemi, Ala’A B. (2023) In Narra J 3(1).
- Contribution to journal › Article
Mark Prognosis of compressive strength of fly-ash-based geopolymer-modified sustainable concrete with ML algorithms
Kumar, Aman ; Arora, Harish Chandra ; Kapoor, Nishant Raj and Kumar, Krishna ^LU (2023) In Structural Concrete 24(3). p.3990-4014
- Contribution to journal › Article
Mark Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders
Kumar, Prashant ; Arora, Harish Chandra ; Bahrami, Alireza ; Kumar, Aman and Kumar, Krishna ^LU (2023) In Buildings 13(4).
- Contribution to journal › Article
Mark Neural Network Based Algorithm to Estimate the Axial Capacity of Corroded RC Columns
Kumar, Yogesh ; Arora, Harish Chandra ; Kumar, Aman ; Kumar, Krishna ^LU and Rai, Hardeep Singh (2023) 5th International Conference on Information Systems and Management Science, ISMS 2022 In Lecture Notes in Networks and Systems 671 LNNS. p.219-230
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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