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Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

• Authors : Ramy Abou Ghayda; Rossella Cannarella; Aldo E. Calogero

Subjects: andrology; artificial intelligence; deep learning

• Source: The World Journal of Men's Health, Vol 42, Iss 1, Pp 39-61 (2024)

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The problem of linguistic approximation in clinical decision making

• Authors : Degani, Rosanna; Bortolan, Giovanni

Subjects: Applied Mathematics; Artificial Intelligence; Theoretical Computer Science

• Source: International Journal of Approximate Reasoning ; volume 2, issue 2, page 143-162 ; ISSN 0888-613X

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Applying the results from diagnostic accuracy studies to enhance clinical decision-making

• Authors : Paul W. Stratford

Subjects: Clinical decision making; Process (engineering); business.industry

• Source: Physiotherapy Theory and Practice. 17:153-160

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Methoden zur Unterstützung der klinischen Entscheidungsfindung in der Nierentransplantation

• Authors : Fritsche, Lutz;

Subjects: Entscheidungsfindung; Datenbanken; Nierentransplantation

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Exploratory Bayesian model selection for serial genetics data

• Authors : Jing X. Zhao; Edward I. George; Andrea S. Foulkes

Subjects: Statistics and Probability; Computer science; DNA Mutational Analysis

• Source: Biometrics. 61(2)

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How do experts recognize schizophrenia: the role of the disorganization symptom

• Authors : Denise Razzouk; Jair de Jesus Mari; Itiro Shirakawa

Subjects: Artificial intelligence; Expert systems; Knowledge acquisition

• Source: Brazilian Journal of Psychiatry, Vol 28, Iss 1, Pp 5-9 (2006)

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How do experts recognize schizophrenia: the role of the disorganization symptom

• Authors : Razzouk, Denise; Mari, Jair de Jesus; Shirakawa, Itiro

Subjects: Artificial intelligence; Expert systems; Knowledge acquisition

• Source: Brazilian Journal of Psychiatry. March 2006 28(1)

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The application of machine learning techniques as an adjunct to clinical decision making in alcohol dependence treatment.

• Authors : Connor JP; Discipline of Psychiatry, The University of Queensland, Brisbane, Australia.; Symons M

Subjects: Artificial Intelligence* ; Decision Support Systems, Clinical*; Alcoholism/Alcoholism/Alcoholism/*prevention & control

• Source: Substance use & misuse [Subst Use Misuse] 2007; Vol. 42 (14), pp. 2193-206.Publisher: Informa Healthcare Country of Publication: England NLM ID: 9602153 Publication Model: Print Cited Medium: Print ISSN: 1082-6084

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The Application of Machine Learning Techniques as an Adjunct to Clinical Decision Making in Alcohol Dependence Treatment

• Authors : R. McD. Young; Martyn Symons; Janet Wiles

Subjects: Decision support system; Health (social science); Taurine

• Source: Substance Use & Misuse. 42:2193-2206

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Comparison of different classification algorithms in clinical decision-making

• Authors : Elif Derya Übeyli

Subjects: Decision support system; Computer science; business.industry

• Source: Expert Systems. 24:17-31

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