Machine Learning Models for Non-Imaging Medical Clinical Data












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$begingroup$


I am a beginner in machine learning. Since machine learning is a wide area, I would like keep my focus on clinical data.



When I search for machine learning samples in healthcare, most of the examples are related to interpreting medical images like retina image recognizing retinopathy. What are the clinical relationships modeled in ML?






machine-learning deep-learning data-mining predictive-modeling







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New contributor




Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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  • $begingroup$
    1. "Artificial neural networks" can be used to find associations between symptoms and a diagnosis. 2. The Role of Machine Learning in Clinical Decision Support - Tanveer Syeda-Mahmood plenary talk
    $endgroup$
    – Lijo
    2 days ago










  • $begingroup$
    1. kaggle - Predicting Chronic Kidney Disease based on health records 2.A Reduced Set of Features for Chronic Kidney Disease Prediction
    $endgroup$
    – Lijo
    2 days ago
















2












$begingroup$


I am a beginner in machine learning. Since machine learning is a wide area, I would like keep my focus on clinical data.



When I search for machine learning samples in healthcare, most of the examples are related to interpreting medical images like retina image recognizing retinopathy. What are the clinical relationships modeled in ML?






machine-learning deep-learning data-mining predictive-modeling







share|improve this question







New contributor




Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$












  • $begingroup$
    1. "Artificial neural networks" can be used to find associations between symptoms and a diagnosis. 2. The Role of Machine Learning in Clinical Decision Support - Tanveer Syeda-Mahmood plenary talk
    $endgroup$
    – Lijo
    2 days ago










  • $begingroup$
    1. kaggle - Predicting Chronic Kidney Disease based on health records 2.A Reduced Set of Features for Chronic Kidney Disease Prediction
    $endgroup$
    – Lijo
    2 days ago














2












2








2


1



$begingroup$


I am a beginner in machine learning. Since machine learning is a wide area, I would like keep my focus on clinical data.



When I search for machine learning samples in healthcare, most of the examples are related to interpreting medical images like retina image recognizing retinopathy. What are the clinical relationships modeled in ML?






machine-learning deep-learning data-mining predictive-modeling







share|improve this question







New contributor




Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I am a beginner in machine learning. Since machine learning is a wide area, I would like keep my focus on clinical data.



When I search for machine learning samples in healthcare, most of the examples are related to interpreting medical images like retina image recognizing retinopathy. What are the clinical relationships modeled in ML?






machine-learning deep-learning data-mining predictive-modeling




machine-learning deep-learning data-mining predictive-modeling






share|improve this question







New contributor




Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question







New contributor




Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




share|improve this question






New contributor




Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked 2 days ago









LijoLijo

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New contributor




Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Lijo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • $begingroup$
    1. "Artificial neural networks" can be used to find associations between symptoms and a diagnosis. 2. The Role of Machine Learning in Clinical Decision Support - Tanveer Syeda-Mahmood plenary talk
    $endgroup$
    – Lijo
    2 days ago










  • $begingroup$
    1. kaggle - Predicting Chronic Kidney Disease based on health records 2.A Reduced Set of Features for Chronic Kidney Disease Prediction
    $endgroup$
    – Lijo
    2 days ago


















  • $begingroup$
    1. "Artificial neural networks" can be used to find associations between symptoms and a diagnosis. 2. The Role of Machine Learning in Clinical Decision Support - Tanveer Syeda-Mahmood plenary talk
    $endgroup$
    – Lijo
    2 days ago










  • $begingroup$
    1. kaggle - Predicting Chronic Kidney Disease based on health records 2.A Reduced Set of Features for Chronic Kidney Disease Prediction
    $endgroup$
    – Lijo
    2 days ago
















$begingroup$
1. "Artificial neural networks" can be used to find associations between symptoms and a diagnosis. 2. The Role of Machine Learning in Clinical Decision Support - Tanveer Syeda-Mahmood plenary talk
$endgroup$
– Lijo
2 days ago




$begingroup$
1. "Artificial neural networks" can be used to find associations between symptoms and a diagnosis. 2. The Role of Machine Learning in Clinical Decision Support - Tanveer Syeda-Mahmood plenary talk
$endgroup$
– Lijo
2 days ago












$begingroup$
1. kaggle - Predicting Chronic Kidney Disease based on health records 2.A Reduced Set of Features for Chronic Kidney Disease Prediction
$endgroup$
– Lijo
2 days ago




$begingroup$
1. kaggle - Predicting Chronic Kidney Disease based on health records 2.A Reduced Set of Features for Chronic Kidney Disease Prediction
$endgroup$
– Lijo
2 days ago










1 Answer
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$begingroup$

Some of the non-imaging examples are




  1. ECG (https://www.researchgate.net/publication/324457712_A_deep_learning_approach_for_ECG-based_heartbeat_classification_for_arrhythmia_detection , https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805987/)

  2. Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)

  3. Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624

  4. Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1






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    $begingroup$

    Some of the non-imaging examples are




    1. ECG (https://www.researchgate.net/publication/324457712_A_deep_learning_approach_for_ECG-based_heartbeat_classification_for_arrhythmia_detection , https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805987/)

    2. Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)

    3. Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624

    4. Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1






    share|improve this answer









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      1












      $begingroup$

      Some of the non-imaging examples are




      1. ECG (https://www.researchgate.net/publication/324457712_A_deep_learning_approach_for_ECG-based_heartbeat_classification_for_arrhythmia_detection , https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805987/)

      2. Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)

      3. Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624

      4. Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1






      share|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        Some of the non-imaging examples are




        1. ECG (https://www.researchgate.net/publication/324457712_A_deep_learning_approach_for_ECG-based_heartbeat_classification_for_arrhythmia_detection , https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805987/)

        2. Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)

        3. Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624

        4. Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1






        share|improve this answer









        $endgroup$



        Some of the non-imaging examples are




        1. ECG (https://www.researchgate.net/publication/324457712_A_deep_learning_approach_for_ECG-based_heartbeat_classification_for_arrhythmia_detection , https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805987/)

        2. Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)

        3. Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624

        4. Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 2 days ago









        Shamit VermaShamit Verma

        78426




        78426






















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