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  1. Book: Information retrieval

    Hersh, William R.

    a biomedical and health perspective

    (Health informatics)

    2020  

    Author's details William Hersh
    Series title Health informatics
    Language English
    Size xv, 413 Seiten
    Edition Fourth edition
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book
    HBZ-ID HT020550520
    ISBN 978-3-030-47685-4 ; 9783030476861 ; 3-030-47685-5 ; 3030476863
    Database Catalogue ZB MED Medicine, Health

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2020 A 1248 available for loan (reading room) Lesesaal EG

    Order via subito

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  2. Article ; Online: The Clinical Informatics Practice Pathway Should Be Maintained for Now but Transformed into an Alternative to In-Place Fellowships.

    Hersh, William R

    Applied clinical informatics

    2022  Volume 13, Issue 2, Page(s) 398–399

    MeSH term(s) Fellowships and Scholarships ; Medical Informatics ; Surveys and Questionnaires
    Language English
    Publishing date 2022-03-23
    Publishing country Germany
    Document type Letter
    ISSN 1869-0327
    ISSN (online) 1869-0327
    DOI 10.1055/s-0042-1745722
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Inter-library loan at ZB MED

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  3. Book: Information retrieval

    Hersh, William R.

    a health and biomedical perspective

    (Health informatics series)

    2009  

    Author's details William Hersh
    Series title Health informatics series
    Language English
    Size XVII, 486 S. : Ill.
    Edition 3. ed.
    Publisher Springer
    Publishing place New York, NY
    Publishing country United States
    Document type Book
    HBZ-ID HT015775612
    ISBN 978-0-387-78702-2 ; 0-387-78702-X ; 9780387787039 ; 0387787038
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2010 A 1257 order for loan Magazin

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    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Book ; Audio / Video: Informatics across the spectrum from clinical care to biomedical research

    Hersh, William R.

    May 16 - 18, 2006, Pointe South Mountain Resort, Phoenix, Arizona

    (American Medical Informatics Association ... spring congress proceedings ; 2006 ; [Journal of the American Medical Informatics Association ; 13, Beil. 2])

    2006  

    Author's details William R. Hersh, ed
    Series title American Medical Informatics Association ... spring congress proceedings ; 2006
    [Journal of the American Medical Informatics Association ; 13, Beil. 2]
    American Medical Informatics ... spring congress proceedings
    JAMIA
    Collection American Medical Informatics ... spring congress proceedings
    JAMIA
    Language English
    Size 1 CD-ROM, 12 cm
    Publisher American Med. Informatics Assoc
    Publishing place Bethesda, Md
    Publishing country United States
    Document type Book ; Audio / Video
    HBZ-ID HT015091405
    ISBN 0-9647743-2-1 ; 978-0-9647743-2-2
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Zs MO 312 -[13,Beil.2]- order to use in reading room Magazin
    Einzelinstallation nur in der ZB MED

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  5. Book ; Online: Search Still Matters

    Hersh, William R.

    Information Retrieval in the Era of Generative AI

    2023  

    Abstract: Objective: Information retrieval (IR, also known as search) systems are ubiquitous in modern times. How does the emergence of generative artificial intelligence (AI), based on large language models (LLMs), fit into the IR process? Process: This ... ...

    Abstract Objective: Information retrieval (IR, also known as search) systems are ubiquitous in modern times. How does the emergence of generative artificial intelligence (AI), based on large language models (LLMs), fit into the IR process? Process: This perspective explores the use of generative AI in the context of the motivations, considerations, and outcomes of the IR process with a focus on the academic use of such systems. Conclusions: There are many information needs, from simple to complex, that motivate use of IR. Users of such systems, particularly academics, have concerns for authoritativeness, timeliness, and contextualization of search. While LLMs may provide functionality that aids the IR process, the continued need for search systems, and research into their improvement, remains essential.

    Comment: 7 pages, no figures
    Keywords Computer Science - Information Retrieval ; Computer Science - Artificial Intelligence ; H.3
    Publishing date 2023-11-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  6. Article: The Clinical Informatics Practice Pathway Should Be Maintained for Now but Transformed into an Alternative to In-Place Fellowships

    Hersh, William R.

    Applied Clinical Informatics

    2022  Volume 13, Issue 02, Page(s) 398–399

    Language English
    Publishing date 2022-03-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ISSN 1869-0327
    ISSN (online) 1869-0327
    DOI 10.1055/s-0042-1745722
    Database Thieme publisher's database

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  7. Book: Information retrieval

    Hersh, William R.

    a health and biomedical perspective

    (Health informatics series)

    2003  

    Author's details William R. Hersh
    Series title Health informatics series
    Keywords Medical Informatics ; Information Storage and Retrieval ; Information Systems ; Gesundheitsinformationssystem ; Information Retrieval
    Subject Medizinisches computergestütztes Informationssystem ; Gesundheitswesen ; Health information system ; Healthcare information system ; HIS ; Informationsretrieval ; Information ; Informationsrecherche ; Informationswiedergewinnung ; Retrieval ; Informationsrückgewinnung ; Informationsgewinnung
    Language English
    Size XIV, 517 S. : Ill., graph. Darst.
    Edition 2. ed.
    Publisher Springer
    Publishing place New York u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT013605057
    ISBN 0-387-95522-4 ; 978-0-387-95522-3
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2003 A 628 order for loan Magazin

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article ; Online: A comparative analysis of system features used in the TREC-COVID information retrieval challenge.

    Chen, Jimmy S / Hersh, William R

    Journal of biomedical informatics

    2021  Volume 117, Page(s) 103745

    Abstract: The COVID-19 pandemic has resulted in a rapidly growing quantity of scientific publications from journal articles, preprints, and other sources. The TREC-COVID Challenge was created to evaluate information retrieval (IR) methods and systems for this ... ...

    Abstract The COVID-19 pandemic has resulted in a rapidly growing quantity of scientific publications from journal articles, preprints, and other sources. The TREC-COVID Challenge was created to evaluate information retrieval (IR) methods and systems for this quickly expanding corpus. Using the COVID-19 Open Research Dataset (CORD-19), several dozen research teams participated in over 5 rounds of the TREC-COVID Challenge. While previous work has compared IR techniques used on other test collections, there are no studies that have analyzed the methods used by participants in the TREC-COVID Challenge. We manually reviewed team run reports from Rounds 2 and 5, extracted features from the documented methodologies, and used a univariate and multivariate regression-based analysis to identify features associated with higher retrieval performance. We observed that fine-tuning datasets with relevance judgments, MS-MARCO, and CORD-19 document vectors was associated with improved performance in Round 2 but not in Round 5. Though the relatively decreased heterogeneity of runs in Round 5 may explain the lack of significance in that round, fine-tuning has been found to improve search performance in previous challenge evaluations by improving a system's ability to map relevant queries and phrases to documents. Furthermore, term expansion was associated with improvement in system performance, and the use of the narrative field in the TREC-COVID topics was associated with decreased system performance in both rounds. These findings emphasize the need for clear queries in search. While our study has some limitations in its generalizability and scope of techniques analyzed, we identified some IR techniques that may be useful in building search systems for COVID-19 using the TREC-COVID test collections.
    MeSH term(s) COVID-19 ; Humans ; Information Storage and Retrieval ; Multivariate Analysis ; Pandemics ; SARS-CoV-2
    Language English
    Publishing date 2021-04-06
    Publishing country United States
    Document type Comparative Study ; Journal Article
    ZDB-ID 2057141-0
    ISSN 1532-0480 ; 1532-0464
    ISSN (online) 1532-0480
    ISSN 1532-0464
    DOI 10.1016/j.jbi.2021.103745
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book: Information retrieval

    Hersh, William R.

    a health care perspective

    (Computers and medicine)

    1996  

    Author's details William R. Hersh
    Series title Computers and medicine
    Keywords Information Storage and Retrieval ; Information Systems ; Gesundheitsinformationssystem ; Information Retrieval
    Subject Informationsretrieval ; Information ; Informationsrecherche ; Informationswiedergewinnung ; Retrieval ; Informationsrückgewinnung ; Informationsgewinnung ; Medizinisches computergestütztes Informationssystem ; Gesundheitswesen ; Health information system ; Healthcare information system ; HIS
    Language English
    Size XVI, 320 S. : Ill., graph. Darst.
    Publisher Springer
    Publishing place New York u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT006813356
    ISBN 0-387-94454-0 ; 978-0-387-94454-8
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    1996 A 4875 order for loan Magazin

    Order via subito

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  10. Article ; Online: Clinical study applying machine learning to detect a rare disease: results and lessons learned.

    Hersh, William R / Cohen, Aaron M / Nguyen, Michelle M / Bensching, Katherine L / Deloughery, Thomas G

    JAMIA open

    2022  Volume 5, Issue 2, Page(s) ooac053

    Abstract: Machine learning has the potential to improve identification of patients for appropriate diagnostic testing and treatment, including those who have rare diseases for which effective treatments are available, such as acute hepatic porphyria (AHP). We ... ...

    Abstract Machine learning has the potential to improve identification of patients for appropriate diagnostic testing and treatment, including those who have rare diseases for which effective treatments are available, such as acute hepatic porphyria (AHP). We trained a machine learning model on 205 571 complete electronic health records from a single medical center based on 30 known cases to identify 22 patients with classic symptoms of AHP that had neither been diagnosed nor tested for AHP. We offered urine porphobilinogen testing to these patients via their clinicians. Of the 7 who agreed to testing, none were positive for AHP. We explore the reasons for this and provide lessons learned for further work evaluating machine learning to detect AHP and other rare diseases.
    Language English
    Publishing date 2022-06-30
    Publishing country United States
    Document type Journal Article
    ISSN 2574-2531
    ISSN (online) 2574-2531
    DOI 10.1093/jamiaopen/ooac053
    Database MEDical Literature Analysis and Retrieval System OnLINE

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