
...
<ul>
<li><strong>Tumor classification</strong>: Predicting whether a tumor is benign or malignant.</li>
<li><strong>Survival analysis</strong>: Estimating the survival rate based on different features like tumor type and treatment.</li>
<li><strong>Outcome prediction</strong>: Predicting the treatment response or follow-up requirement.</li>
</ul>

<h2> <strong>Note</strong>: The data in this dataset is synthetic and does not represent real patient information. It is intended for educational and research purposes in the field of healthcare analytics and machine learning.</h2></div></div></div>

	a/README.md		b/README.md
	...		...
29	<ul>	29	<ul>
30	<li><strong>Tumor classification</strong>: Predicting whether a tumor is benign or malignant.</li>	30	<li><strong>Tumor classification</strong>: Predicting whether a tumor is benign or malignant.</li>
31	<li><strong>Survival analysis</strong>: Estimating the survival rate based on different features like tumor type and treatment.</li>	31	<li><strong>Survival analysis</strong>: Estimating the survival rate based on different features like tumor type and treatment.</li>
32	<li><strong>Outcome prediction</strong>: Predicting the treatment response or follow-up requirement.</li>	32	<li><strong>Outcome prediction</strong>: Predicting the treatment response or follow-up requirement.</li>
33	</ul>	33	</ul>
34	<h2>#### <strong>Note</strong>: The data in this dataset is synthetic and does not represent real patient information. It is intended for educational and research purposes in the field of healthcare analytics and machine learning.</h2></div></div></div>	34
		35	<h2> <strong>Note</strong>: The data in this dataset is synthetic and does not represent real patient information. It is intended for educational and research purposes in the field of healthcare analytics and machine learning.</h2></div></div></div>