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Clinical applications of machine learning algorithms: beyond the black box
by
McInnes, Iain B
, Krutzinna, Jenny
, Barnes, Michael R
, Bruce, Ian N
, Floridi, Luciano
, Watson, David S
, Griffiths, Christopher EM
in
Algorithms
/ Artificial intelligence
/ Attitude of Health Personnel
/ Attitude to Computers
/ Automation
/ Cancer
/ Clinical decision making
/ Clinical Decision-Making - ethics
/ Clinical Decision-Making - methods
/ Computer Security - legislation & jurisprudence
/ Decision making
/ Diabetic retinopathy
/ Diagnosis, Computer-Assisted - ethics
/ Diagnosis, Computer-Assisted - legislation & jurisprudence
/ Ethics, Medical
/ Health Knowledge, Attitudes, Practice
/ Humans
/ Learning algorithms
/ Machine learning
/ Machine Learning - ethics
/ Machine Learning - legislation & jurisprudence
/ Medical diagnosis
/ Medical prognosis
/ Oncology
/ Physicians
/ Pneumonia
/ Therapeutic applications
/ Therapy, Computer-Assisted - ethics
/ Therapy, Computer-Assisted - legislation & jurisprudence
/ Tumors
2019
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Clinical applications of machine learning algorithms: beyond the black box
by
McInnes, Iain B
, Krutzinna, Jenny
, Barnes, Michael R
, Bruce, Ian N
, Floridi, Luciano
, Watson, David S
, Griffiths, Christopher EM
in
Algorithms
/ Artificial intelligence
/ Attitude of Health Personnel
/ Attitude to Computers
/ Automation
/ Cancer
/ Clinical decision making
/ Clinical Decision-Making - ethics
/ Clinical Decision-Making - methods
/ Computer Security - legislation & jurisprudence
/ Decision making
/ Diabetic retinopathy
/ Diagnosis, Computer-Assisted - ethics
/ Diagnosis, Computer-Assisted - legislation & jurisprudence
/ Ethics, Medical
/ Health Knowledge, Attitudes, Practice
/ Humans
/ Learning algorithms
/ Machine learning
/ Machine Learning - ethics
/ Machine Learning - legislation & jurisprudence
/ Medical diagnosis
/ Medical prognosis
/ Oncology
/ Physicians
/ Pneumonia
/ Therapeutic applications
/ Therapy, Computer-Assisted - ethics
/ Therapy, Computer-Assisted - legislation & jurisprudence
/ Tumors
2019
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Do you wish to request the book?
Clinical applications of machine learning algorithms: beyond the black box
by
McInnes, Iain B
, Krutzinna, Jenny
, Barnes, Michael R
, Bruce, Ian N
, Floridi, Luciano
, Watson, David S
, Griffiths, Christopher EM
in
Algorithms
/ Artificial intelligence
/ Attitude of Health Personnel
/ Attitude to Computers
/ Automation
/ Cancer
/ Clinical decision making
/ Clinical Decision-Making - ethics
/ Clinical Decision-Making - methods
/ Computer Security - legislation & jurisprudence
/ Decision making
/ Diabetic retinopathy
/ Diagnosis, Computer-Assisted - ethics
/ Diagnosis, Computer-Assisted - legislation & jurisprudence
/ Ethics, Medical
/ Health Knowledge, Attitudes, Practice
/ Humans
/ Learning algorithms
/ Machine learning
/ Machine Learning - ethics
/ Machine Learning - legislation & jurisprudence
/ Medical diagnosis
/ Medical prognosis
/ Oncology
/ Physicians
/ Pneumonia
/ Therapeutic applications
/ Therapy, Computer-Assisted - ethics
/ Therapy, Computer-Assisted - legislation & jurisprudence
/ Tumors
2019
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Clinical applications of machine learning algorithms: beyond the black box
Journal Article
Clinical applications of machine learning algorithms: beyond the black box
2019
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Overview
To maximise the clinical benefits of machine learning algorithms, we need to rethink our approach to explanation, argue David Watson and colleagues
Publisher
BMJ Publishing Group LTD
Subject
/ Attitude of Health Personnel
/ Cancer
/ Clinical Decision-Making - ethics
/ Clinical Decision-Making - methods
/ Computer Security - legislation & jurisprudence
/ Diagnosis, Computer-Assisted - ethics
/ Diagnosis, Computer-Assisted - legislation & jurisprudence
/ Health Knowledge, Attitudes, Practice
/ Humans
/ Machine Learning - legislation & jurisprudence
/ Oncology
/ Therapy, Computer-Assisted - ethics
/ Therapy, Computer-Assisted - legislation & jurisprudence
/ Tumors
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