DiogoRibeiro7
diff --git a/‎_posts/-_ideas/2030-01-01-health_articles.md‎
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diff --git a/‎_posts/2020-01-01-causality_and_correlation.md‎ renamed to ‎_posts/2020-01-01-causality_correlation.md‎ b/‎_posts/2020-01-01-causality_and_correlation.md‎ renamed to ‎_posts/2020-01-01-causality_correlation.md‎
diff --git a/‎_posts/2020-01-03-assessing_goodness-of-fit_non-parametric_data.md‎ renamed to ‎_posts/2020-01-03-assessing_goodnessoffit_nonparametric_data.md‎ b/‎_posts/2020-01-03-assessing_goodness-of-fit_non-parametric_data.md‎ renamed to ‎_posts/2020-01-03-assessing_goodnessoffit_nonparametric_data.md‎
diff --git a/‎_posts/2020-01-04-multiple_comparisons_problem:_bonferroni_correction_other_solutions.md‎ renamed to ‎_posts/2020-01-04-multiple_comparisons_problem_bonferroni_correction_other_solutions.md‎ b/‎_posts/2020-01-04-multiple_comparisons_problem:_bonferroni_correction_other_solutions.md‎ renamed to ‎_posts/2020-01-04-multiple_comparisons_problem_bonferroni_correction_other_solutions.md‎
diff --git a/‎_posts/2020-01-05-one-way_anova_vs._two-way_anova_when_use_which.md‎ renamed to ‎_posts/2020-01-05-oneway_anova_vs_twoway_anova_when_use_which.md‎ b/‎_posts/2020-01-05-one-way_anova_vs._two-way_anova_when_use_which.md‎ renamed to ‎_posts/2020-01-05-oneway_anova_vs_twoway_anova_when_use_which.md‎
diff --git a/‎_posts/2020-02-02-understanding_statistical_testing:_null_hypothesis_beyond.md‎ renamed to ‎_posts/2020-02-02-understanding_statistical_testing_null_hypothesis_beyond.md‎ b/‎_posts/2020-02-02-understanding_statistical_testing:_null_hypothesis_beyond.md‎ renamed to ‎_posts/2020-02-02-understanding_statistical_testing_null_hypothesis_beyond.md‎
diff --git a/‎_posts/2020-04-01-the_friedman_test.md‎ renamed to ‎_posts/2020-04-01-friedman_test.md‎ b/‎_posts/2020-04-01-the_friedman_test.md‎ renamed to ‎_posts/2020-04-01-friedman_test.md‎
diff --git a/‎_posts/2020-07-02-mann-whitney_u_test_vs._independent_t_test_non_parametric_alternatives.md‎ renamed to ‎_posts/2020-07-02-mannwhitney_u_test_vs_independent_t_test_non_parametric_alternatives.md‎ b/‎_posts/2020-07-02-mann-whitney_u_test_vs._independent_t_test_non_parametric_alternatives.md‎ renamed to ‎_posts/2020-07-02-mannwhitney_u_test_vs_independent_t_test_non_parametric_alternatives.md‎
diff --git a/‎_posts/2021-08-01-building_linear_regression_from_scratch.md‎ renamed to ‎_posts/2021-08-01-building_linear_regression_scratch.md‎ b/‎_posts/2021-08-01-building_linear_regression_from_scratch.md‎ renamed to ‎_posts/2021-08-01-building_linear_regression_scratch.md‎
diff --git a/‎_posts/2022-03-14-levenes_test_vs._bartletts_test_checking_homogeneity_variances.md‎ renamed to ‎_posts/2022-03-14-levenes_test_vs_bartletts_test_checking_homogeneity_variances.md‎ b/‎_posts/2022-03-14-levenes_test_vs._bartletts_test_checking_homogeneity_variances.md‎ renamed to ‎_posts/2022-03-14-levenes_test_vs_bartletts_test_checking_homogeneity_variances.md‎
@@ -30,9 +30,7 @@ tags: []
    - **Overview**: Discuss how AI and machine learning are accelerating the drug discovery process by analyzing massive datasets, identifying potential drug candidates, and predicting drug interactions.
    - **Focus**: Case studies where AI has significantly reduced the time and cost of bringing new drugs to market.
 
-### 7. Using Wearable Technology and Big Data for Health Monitoring
-   - **Overview**: Explore how wearable devices (e.g., smartwatches, fitness trackers) generate real-time health data and how big data analytics can provide insights into personal health.
-   - **Focus**: How wearables are used in chronic disease monitoring, early diagnosis, and preventive healthcare.
+
 
 ### 8. The Role of Machine Learning in Medical Imaging: From Detection to Treatment Planning
    - **Overview**: Discuss how machine learning models are applied to medical imaging (MRI, CT scans, X-rays) to improve the accuracy of diagnosis and assist in treatment planning.
@@ -82,9 +80,6 @@ tags: []
    - **Overview**: Explore how data science is helping researchers analyze patterns of antibiotic use and resistance, contributing to the fight against superbugs.
    - **Focus**: Predictive modeling and pattern analysis to identify misuse of antibiotics and propose effective intervention strategies.
 
-### 20. Evaluating the Ethical Implications of AI and Big Data in Healthcare
-   - **Overview**: Provide an in-depth analysis of the ethical concerns surrounding the use of AI, big data, and machine learning in healthcare, particularly regarding patient privacy, data bias, and decision transparency.
-   - **Focus**: How healthcare institutions can ensure responsible and ethical use of these technologies while improving patient care.
 
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