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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1999 2
2001 2
2003 1
2004 2
2012 2
2014 2
2016 3
2017 3
2018 2
2019 4
2020 3
2021 6
2022 5
2023 5
2024 0

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37 results

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Page 1
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.
Schrempf M, Kramer D, Jauk S, Veeranki SPK, Leodolter W, Rainer PP. Schrempf M, et al. Stud Health Technol Inform. 2021 May 7;279:136-143. doi: 10.3233/SHTI210100. Stud Health Technol Inform. 2021. PMID: 33965930
By identifying patients at risk at an early stage, MACE can be prevented with the right interventions. OBJECTIVES: The aim of this study was to develop machine learning-based models for the 5-year risk prediction of MACE. ...A feature selection based on filter and embedded …
By identifying patients at risk at an early stage, MACE can be prevented with the right interventions. OBJECTIVES: The aim of this study was …
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1.
Polat Erdeniz S, Kramer D, Schrempf M, Rainer PP, Felfernig A, Tran TNT, Burgstaller T, Lubos S. Polat Erdeniz S, et al. Stud Health Technol Inform. 2023 May 2;301:20-25. doi: 10.3233/SHTI230006. Stud Health Technol Inform. 2023. PMID: 37172147
In healthcare, AI techniques such as case-based reasoning and data driven machine learning (ML) algorithms have been used to support decision-making processes for complex tasks. ...
In healthcare, AI techniques such as case-based reasoning and data driven machine learning (ML) algorithms have been used to support …
Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease.
Jiang H, Mao H, Lu H, Lin P, Garry W, Lu H, Yang G, Rainer TH, Chen X. Jiang H, et al. Int J Med Inform. 2021 Jan;145:104326. doi: 10.1016/j.ijmedinf.2020.104326. Epub 2020 Nov 3. Int J Med Inform. 2021. PMID: 33197878
Using data available from patients with suspected cardiovascular disease presenting at ED triage, this study aimed to train and compare the performance of four common machine learning models to assist in decision making of triage levels. ...Based on feature importance gene …
Using data available from patients with suspected cardiovascular disease presenting at ED triage, this study aimed to train and compare the …
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
Schrempf M, Polat Erdeniz S, Kramer D, Jauk S, Veeranki SPK, Ribitsch W, Leodolter W, Rainer PP. Schrempf M, et al. Stud Health Technol Inform. 2022 May 16;293:262-269. doi: 10.3233/SHTI220379. Stud Health Technol Inform. 2022. PMID: 35592992
BACKGROUND: Patients at risk of developing a disease have to be identified at an early stage to enable prevention. One way of early detection is the use of machine learning based prediction models trained on electronic health records. OBJECTIVES: The aim of this project wa …
BACKGROUND: Patients at risk of developing a disease have to be identified at an early stage to enable prevention. One way of early detectio …
Whole-body integration of gene expression and single-cell morphology.
Vergara HM, Pape C, Meechan KI, Zinchenko V, Genoud C, Wanner AA, Mutemi KN, Titze B, Templin RM, Bertucci PY, Simakov O, Dürichen W, Machado P, Savage EL, Schermelleh L, Schwab Y, Friedrich RW, Kreshuk A, Tischer C, Arendt D. Vergara HM, et al. Cell. 2021 Sep 2;184(18):4819-4837.e22. doi: 10.1016/j.cell.2021.07.017. Epub 2021 Aug 10. Cell. 2021. PMID: 34380046 Free PMC article.
The silicon trypanosome: a test case of iterative model extension in systems biology.
Achcar F, Fadda A, Haanstra JR, Kerkhoven EJ, Kim DH, Leroux AE, Papamarkou T, Rojas F, Bakker BM, Barrett MP, Clayton C, Girolami M, Krauth-Siegel RL, Matthews KR, Breitling R. Achcar F, et al. Adv Microb Physiol. 2014;64:115-43. doi: 10.1016/B978-0-12-800143-1.00003-8. Adv Microb Physiol. 2014. PMID: 24797926 Free PMC article. Review.
Mixed Integer Linear Programming based machine learning approach identifies regulators of telomerase in yeast.
Poos AM, Maicher A, Dieckmann AK, Oswald M, Eils R, Kupiec M, Luke B, König R. Poos AM, et al. Nucleic Acids Res. 2016 Jun 2;44(10):e93. doi: 10.1093/nar/gkw111. Epub 2016 Feb 22. Nucleic Acids Res. 2016. PMID: 26908654 Free PMC article.
We integrated Mixed Integer Linear Programming models into a comparative machine learning based approach to identify regulatory interactions that best explain the discrepancy of telomerase transcript levels in yeast mutants with deleted regulators showing aberrant telomere …
We integrated Mixed Integer Linear Programming models into a comparative machine learning based approach to identify regulatory inter …
Fungal biomarker discovery by integration of classifiers.
Saraiva JP, Oswald M, Biering A, Röll D, Assmann C, Klassert T, Blaess M, Czakai K, Claus R, Löffler J, Slevogt H, König R. Saraiva JP, et al. BMC Genomics. 2017 Aug 10;18(1):601. doi: 10.1186/s12864-017-4006-x. BMC Genomics. 2017. PMID: 28797245 Free PMC article.
Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning.
Jakob CEM, Mahajan UM, Oswald M, Stecher M, Schons M, Mayerle J, Rieg S, Pletz M, Merle U, Wille K, Borgmann S, Spinner CD, Dolff S, Scherer C, Pilgram L, Rüthrich M, Hanses F, Hower M, Strauß R, Massberg S, Er AG, Jung N, Vehreschild JJ, Stubbe H, Tometten L, König R; LEOSS Study group. Jakob CEM, et al. Infection. 2022 Apr;50(2):359-370. doi: 10.1007/s15010-021-01656-z. Epub 2021 Jul 19. Infection. 2022. PMID: 34279815 Free PMC article.
Identifying patients at risk of progressing to advanced COVID-19 might guide treatment decisions, particularly for better prioritizing patients in need for hospitalization. METHODS: We developed a machine learning-based predictor for deriving a clinical score identifying p …
Identifying patients at risk of progressing to advanced COVID-19 might guide treatment decisions, particularly for better prioritizing patie …
37 results