Feature Papers in Medical Statistics and Data Science Section
Recent years have witnessed an increase in the use of advanced data analysis methods in biomedical, clinical, and epidemiological research. The aim of this reprint is to highlight the practical aspects of new data analysis methods and to provide insights into the challenges in biostatistics and data...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20240704_9783725810437_46 |
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| _version_ | 1869525296709894144 |
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| collection | Directory of Open Access Books |
| description | Recent years have witnessed an increase in the use of advanced data analysis methods in biomedical, clinical, and epidemiological research. The aim of this reprint is to highlight the practical aspects of new data analysis methods and to provide insights into the challenges in biostatistics and data science. By considering recent developments in medical technology, the reprint includes novel approaches in the field of medical statistics and data science, covering meta-analysis, the assessment of clinical outcomes, machine learning, medical diagnostics, and genomic factors. |
| format | Online |
| id | doab-20.500.12854ir-139250 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1392502024-07-04T09:32:22Z Feature Papers in Medical Statistics and Data Science Section Nieminen, Pentti recurrent neural networks event detection data preprocessing outlier removal type 1 diabetes automated detection craniovertebral angle neuronal network Openpose RGB C7 tragus laboratory diagnostics requirements engineering genomics gene expression metagenomics medical diagnostics standardized regression coefficient statistics meta-analysis research synthesis data presentation carotid intima-media thickness overweight childhood colon adenocarcinoma bioinformatic analysis MMP3 and TESC data science machine-learning digital medicine artificial intelligence SARS-CoV-2 vaccines deep learning spike protein ACE2 CpG DNA machine learning clinical trials RCT automated meta-analysis automation big data nephrology chronic kidney disease prediction models outcomes personalized medicine primary prevention treatment structural models protein structures membrane bilayer DOPE Modeller AlphaFold2 weighted trajectory analysis Kaplan–Meier estimator clinical outcome assessment logrank test ordinal variables Parkinson’s disease hyperbaric oxygen therapy genomic factors single-cell RNA-seq WSI patches tumour cancer Camelyon17 algorithmic fairness electronic health records data missingness data imputation diabetes model explainability mental workload statistical feature selection Shapley-based feature selection alpha and theta EEG band ratios thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine Recent years have witnessed an increase in the use of advanced data analysis methods in biomedical, clinical, and epidemiological research. The aim of this reprint is to highlight the practical aspects of new data analysis methods and to provide insights into the challenges in biostatistics and data science. By considering recent developments in medical technology, the reprint includes novel approaches in the field of medical statistics and data science, covering meta-analysis, the assessment of clinical outcomes, machine learning, medical diagnostics, and genomic factors. 2024-07-04T09:32:19Z 2024-07-04T09:32:19Z 2024 book ONIX_20240704_9783725810437_46 9783725810437 9783725810444 https://directory.doabooks.org/handle/20.500.12854/139250 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9245 https://mdpi.com/books/pdfview/book/9245 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1044-4 10.3390/books978-3-7258-1044-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725810437 9783725810444 296 open access |
| spellingShingle | recurrent neural networks event detection data preprocessing outlier removal type 1 diabetes automated detection craniovertebral angle neuronal network Openpose RGB C7 tragus laboratory diagnostics requirements engineering genomics gene expression metagenomics medical diagnostics standardized regression coefficient statistics meta-analysis research synthesis data presentation carotid intima-media thickness overweight childhood colon adenocarcinoma bioinformatic analysis MMP3 and TESC data science machine-learning digital medicine artificial intelligence SARS-CoV-2 vaccines deep learning spike protein ACE2 CpG DNA machine learning clinical trials RCT automated meta-analysis automation big data nephrology chronic kidney disease prediction models outcomes personalized medicine primary prevention treatment structural models protein structures membrane bilayer DOPE Modeller AlphaFold2 weighted trajectory analysis Kaplan–Meier estimator clinical outcome assessment logrank test ordinal variables Parkinson’s disease hyperbaric oxygen therapy genomic factors single-cell RNA-seq WSI patches tumour cancer Camelyon17 algorithmic fairness electronic health records data missingness data imputation diabetes model explainability mental workload statistical feature selection Shapley-based feature selection alpha and theta EEG band ratios thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine Feature Papers in Medical Statistics and Data Science Section |
| title | Feature Papers in Medical Statistics and Data Science Section |
| title_full | Feature Papers in Medical Statistics and Data Science Section |
| title_fullStr | Feature Papers in Medical Statistics and Data Science Section |
| title_full_unstemmed | Feature Papers in Medical Statistics and Data Science Section |
| title_short | Feature Papers in Medical Statistics and Data Science Section |
| title_sort | feature papers in medical statistics and data science section |
| topic | recurrent neural networks event detection data preprocessing outlier removal type 1 diabetes automated detection craniovertebral angle neuronal network Openpose RGB C7 tragus laboratory diagnostics requirements engineering genomics gene expression metagenomics medical diagnostics standardized regression coefficient statistics meta-analysis research synthesis data presentation carotid intima-media thickness overweight childhood colon adenocarcinoma bioinformatic analysis MMP3 and TESC data science machine-learning digital medicine artificial intelligence SARS-CoV-2 vaccines deep learning spike protein ACE2 CpG DNA machine learning clinical trials RCT automated meta-analysis automation big data nephrology chronic kidney disease prediction models outcomes personalized medicine primary prevention treatment structural models protein structures membrane bilayer DOPE Modeller AlphaFold2 weighted trajectory analysis Kaplan–Meier estimator clinical outcome assessment logrank test ordinal variables Parkinson’s disease hyperbaric oxygen therapy genomic factors single-cell RNA-seq WSI patches tumour cancer Camelyon17 algorithmic fairness electronic health records data missingness data imputation diabetes model explainability mental workload statistical feature selection Shapley-based feature selection alpha and theta EEG band ratios thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine |
| topic_facet | recurrent neural networks event detection data preprocessing outlier removal type 1 diabetes automated detection craniovertebral angle neuronal network Openpose RGB C7 tragus laboratory diagnostics requirements engineering genomics gene expression metagenomics medical diagnostics standardized regression coefficient statistics meta-analysis research synthesis data presentation carotid intima-media thickness overweight childhood colon adenocarcinoma bioinformatic analysis MMP3 and TESC data science machine-learning digital medicine artificial intelligence SARS-CoV-2 vaccines deep learning spike protein ACE2 CpG DNA machine learning clinical trials RCT automated meta-analysis automation big data nephrology chronic kidney disease prediction models outcomes personalized medicine primary prevention treatment structural models protein structures membrane bilayer DOPE Modeller AlphaFold2 weighted trajectory analysis Kaplan–Meier estimator clinical outcome assessment logrank test ordinal variables Parkinson’s disease hyperbaric oxygen therapy genomic factors single-cell RNA-seq WSI patches tumour cancer Camelyon17 algorithmic fairness electronic health records data missingness data imputation diabetes model explainability mental workload statistical feature selection Shapley-based feature selection alpha and theta EEG band ratios thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine |
| url | ONIX_20240704_9783725810437_46 |