Machine Learning Models for Non-Imaging Medical Clinical Data
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
asked 2 days ago
LijoLijo
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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
asked 2 days ago
LijoLijo
1113
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
add a comment |
2
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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
asked 2 days ago
LijoLijo
1113
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
asked 2 days ago
LijoLijo
1113
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
1113
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
1113
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
1113
asked 2 days ago
LijoLijo
1113
1113
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
add a comment |
$begingroup$
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
add a comment |
1 Answer
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Some of the non-imaging examples are
- 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/)
- Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)
- Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624
- Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1
answered 2 days ago
Shamit VermaShamit Verma
78426
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1 Answer
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active
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1 Answer
1
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1
$begingroup$
Some of the non-imaging examples are
- 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/)
- Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)
- Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624
- Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1
answered 2 days ago
Shamit VermaShamit Verma
78426
$endgroup$
add a comment |
1
$begingroup$
Some of the non-imaging examples are
- 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/)
- Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)
- Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624
- Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1
answered 2 days ago
Shamit VermaShamit Verma
78426
$endgroup$
add a comment |
1
1
1
$begingroup$
Some of the non-imaging examples are
- 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/)
- Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)
- Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624
- Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1
answered 2 days ago
Shamit VermaShamit Verma
78426
$endgroup$
Some of the non-imaging examples are
- 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/)
- Arrhythmia (https://archive.ics.uci.edu/ml/datasets/arrhythmia , http://ecg.mit.edu/time-series/)
- Diabetes https://www.sciencedirect.com/science/article/pii/S2405959518304624
- Genotyping : https://www.mdpi.com/2073-4425/10/1/18/pdf , https://www.biorxiv.org/content/10.1101/241414v1
answered 2 days ago
Shamit VermaShamit Verma
78426
answered 2 days ago
Shamit VermaShamit Verma
78426
answered 2 days ago
Shamit VermaShamit Verma
78426
answered 2 days ago
Shamit VermaShamit Verma
78426
78426
add a comment |
add a comment |
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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