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4645“…The skills and narrative are as generic as possible and can be implemented with a range of hardware options. One of the most exciting and fastest growing topics in education is data science. …”
Libro electrónico -
4646
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4647
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4648
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4649
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4650
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4651
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4654Publicado 2018Tabla de Contenidos: “…Training the model parameters -- Evaluating model performance -- Sensitivity (Sn) -- Specificity (Sp) -- Positive predictive value (PPV) -- Negative predictive value (NPV) -- False-positive rate (FPR) -- Accuracy (Acc) -- Receiver operating characteristic (ROC) curves -- Precision-recall curves -- Continuously valued target variables -- Summary -- References and further reading -- Chapter 4: Computing Foundations - Databases -- Introduction to databases -- Data engineering with SQL - an example case -- Case details - predicting mortality for a cardiology practice -- The clinical database -- The PATIENT table -- The VISIT table -- The MEDICATIONS table -- The LABS table -- The VITALS table -- The MORT table -- Starting an SQLite session -- Data engineering, one table at a time with SQL -- Query Set #0 - creating the six tables -- Query Set #0a - creating the PATIENT table -- Query Set #0b - creating the VISIT table -- Query Set #0c - creating the MEDICATIONS table -- Query Set #0d - creating the LABS table -- Query Set #0e - creating the VITALS table -- Query Set #0f - creating the MORT table -- Query Set #0g - displaying our tables -- Query Set #1 - creating the MORT_FINAL table -- Query Set #2 - adding columns to MORT_FINAL -- Query Set #2a - adding columns using ALTER TABLE -- Query Set #2b - adding columns using JOIN -- Query Set #3 - date manipulation - calculating age -- Query Set #4 - binning and aggregating diagnoses -- Query Set #4a - binning diagnoses for CHF -- Query Set #4b - binning diagnoses for other diseases -- Query Set #4c - aggregating cardiac diagnoses using SUM -- Query Set #4d - aggregating cardiac diagnoses using COUNT -- Query Set #5 - counting medications -- Query Set #6 - binning abnormal lab results -- Query Set #7 - imputing missing variables…”
Libro electrónico -
4655
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4656
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4657
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4658
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4659
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4660
