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Machine learning examples in healthcare & medicine

 2 years ago
source link: https://www.neuraldesigner.com/learning/examples/healthcare
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Machine learning examples in healthcare & medicine

Machine learning examples in healthcare & medicine

The power of artificial intelligence for analyzing health data will empower physicians and speed-up decision-making in the clinic.

Below you can find some worked examples of machine learning in medicine.

For that, we use the data science and machine learning platform Neural Designer. Download the free trial to follow these examples step by step.

Breast cancer diagnosis

breast-cancer-analysis.webp

Diagnose the presence of breast cancer
from digitized images of cell nuclei.

Parkinson's disease telemonitoring

parkinson-soundwave.webp

Predict Parkinson's disease
symptom score on the UPDRS scale.

Blood donation campaign

blood-donation.webp

Create a model that can predict which
people are more likely to donate blood.

Urinary inflammation diagnosis

urinary-inflammation.webp

Diagnose the urinary bladder using
a dataset from a medical expert.

Leukemia microarray analysis

microarray-example.webp

Diagnose the type of leukemia
using DNA coding.

Nanoparticle adhesive strength

nanoparticles.webp

Predict the vascular adhesion of nano
particles from their wall shear rate.

Activity recognition

activity.webp

Recognize human activities in real life
situations through activity recognition.

Dermatological disease

dermatology-image.webp

Diagnose dermatological diseases from
clinical and histopathological features.

Obesity level

obesity-image.webp

Estimate obesity levels based on
eating habits and physical condition.

Diabetic retinopathy prognosis

diabetic-retino.webp

Prognosticate a future event,
diabetic retinopathy.

Colon cancer treatment

cancer-colon.webp

Colon cancer treatment
using levamisole and fluorocil.

Liver disease diagnosis

liver-and-hepatitis.webp

Diagnose liver diseases
from different types of analysis.

Lung cancer

lung-cancer.webp

Early detection of
lung carcinoma.

Pancreatic cancer

pancreatic-cancer.webp

Urinary biomarkers for
pancreatic cancer detection.

Colon cancer liver metastasis

liver_met_mutation2.webp

Predict liver metastasis in colon
cancer using mutational data.

Breast cancer mortality

breast-cancer-gene.png

Predict breast cancer mortality
from patients gene panel.

Lung cancer recurrence

lung-recurrence.webp

Predict lung cancer recurrence
from patients gene expression.

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