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Submission declined on 29 December 2024 by WaddlesJP13 (talk). This submission reads more like an essay than an encyclopedia article. Submissions should summarise information in secondary, reliable sources and not contain opinions or original research. Please write about the topic from a neutral point of view in an encyclopedic manner.
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You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
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Submission declined on 29 December 2024 by SafariScribe (talk). This submission reads more like an essay than an encyclopedia article. Submissions should summarise information in secondary, reliable sources and not contain opinions or original research. Please write about the topic from a neutral point of view in an encyclopedic manner. Declined by SafariScribe 17 days ago. |
Submission declined on 23 December 2024 by CSMention269 (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by CSMention269 23 days ago.
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Clinical and statistical prediction are two distinct methods used to combine information for decision-making across various domains.[1][2] These approaches are employed when multiple data points need to be integrated to make informed decisions. For instance, a medical professional combining symptom data, test results, and patient history to reach a diagnosis. Clinical prediction relies on human judgment to combine this information, whereas statistical prediction utilizes mathematical models and algorithms to do so. While early work on clinical prediction focused on mental health decisions, its application extends to other areas, including in the prediction of criminal recidivism,[3] marital satisfaction, business failures, and magazine advertising sales.[4]