American College of Medical Informatics Fellows and International Associates, 2001
Notice bibliographique
Résumé
Stephen Altschul is a Senior Investigator at the National Center for Biotechnology Information, which is part of the National Library of Medicine at the National Institutes of Health. He received his AB summa cum laude in mathematics from Harvard College and a PhD in mathematics from the Massachusetts Institute of Technology. Dr. Altschul held an IRTA postdoctoral fellowship at the Mathematics Research Branch of the National Institute of Diabetes and Digestive and Kidney Diseases before moving to the NCBI, where he has been for the past 12 years. His research has focused on developing measures, algorithms, and statistics for the comparison and analysis of DNA and protein sequences. He played a central role in developing the blast and psi-blast sequence database search programs, and his articles describing these programs have become, respectively, the most cited scientific papers published since 1990 and 1995. Dr. Altschul has served on grants committees for the National Human Genome Research Institute of the NIH and for the Medical Research Council of Canada. He has been a member of the editorial boards of Protein Sequences & Data Analysis, Gene-combis, and Genome Biology and is invited to be a keynote speaker at the Tenth Annual Conference on Intelligent Systems for Molecular Biology. Dennis Benson is Chief of the Information Resources Branch at the National Center for Biotechnology, National Library of Medicine. Dr. Benson received his undergraduate and graduate degrees in the neuroscience program at the University of Florida. Prior to his current position, Dr. Benson was a postdoctoral fellow in the Department of Biomedical Engineering, Johns Hopkins School of Medicine, where his research focused on the neurophysiology of the auditory cortex. He came to the Lister Hill Center for Biomedical Communications at the NLM in 1980 and worked on knowledge-based retrieval systems in the area of hepatitis and toxicology. He developed a test bed for evaluating statistical-based text retrieval algorithms, which evolved into an operational text retrieval system known as IRX. Early applications of IRX included the McKusick Mendelian Inheritance in Man database and a seminal integrated genetics data resource known as GenInfo. With the creation of the NCBI in 1988, he has had responsibility for designing and managing the computing and network infrastructure for research and public access to the information resources NCBI produces—in particular, the Gen Bank, Entrez, and PubMed databases. Mark Boguski is Senior Vice President for Research and Development at Rosetta Inpharmatics, Inc. He received his BA in natural sciences from Johns Hopkins University and his MD and PhD in molecular biology from the University of Washington. He was a resident in anatomic pathology at Barnes, Children's and Jewish Hospitals and a medical staff fellow at the Mathematical Research Branch of the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health. Dr. Boguski spent 11 years at the National Center for Biotechnology Information at the National Library of Medicine, rising from Senior Staff Fellow to Senior Investigator. Early in his career, he studied the organization and biological importance of repeated sequences in nucleic acids and proteins. He developed analytic methods to trace the molecular evolution of proteins from related species. At NCBI, he was instrumental in the design and implementation of a database system for representing expressed sequence tags. More recently, he led the development of several prototype database systems for storing and analyzing microarray-derived gene expression data. Dr. Boguski has served as Editor of Genomics and is a member of the Board of Reviewing Editors of Science. He is recipient of the Regents Award of the NLM and the NIH Director's Award. Douglas Brutlag is Professor of Biochemistry and Biomedical Informatics (by courtesy) at Stanford University. He as Professor of at He received a from the Institute of and his PhD in from Stanford University Dr. Brutlag was a of the and of the in Dr. Brutlag has served as on the National the National Institutes of and the NIH which molecular biology to the His is the information in the His has developed methods to DNA gene expression be to the of of and His has developed methods in protein sequences and protein be to the of and to and for the protein have been at the of of the in the Dr. Brutlag on the editorial of the of Molecular Biology. 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,005 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,006 | 0,006 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,279 | 0,232 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».