checkrp exported
Contact address as well as emails were updated to my new freelancing email and address. Imports were updated as well.
None of these updates affects calculations or other user visible behaviour.
... read more ...Some updates were necessary because of new requirements for R’s package infrastructure. None of these updates affects calculations or other user visible behaviour.
... read more ...With the theory paper being printed,
softclassval is now mature to gain Version number 1.0.
checkrp exportedFunction checkrp which does consistency checks and possibly recycles the reference to fit to the
predictions is now exported. This saves time if multiple performance measures are to be calculated on
the same predictions.
We use partial class memberships in soft classification to model uncertain labelling and mixtures of classes. Partial class memberships are not restricted to predictions, but may also occur in reference labels (ground truth, gold standard diagnosis) for training and validation data.
... read more ...One of the reviewers of the theory paper asks how softclassval ensures computational
correctness.
softclassval uses svUnit for unit
testing.
Medical diagnosis of cells and tissues is an important aim in biospectroscopy. The data analytical task involved frequently is classification. Classification traditionally assumes both reference and prediction to be hard, i.e. stating exactly one of the defined classes. Like fuzzy cluster analysis, soft classification uses partial memberships rather than hard labels, thus expressing uncertainty or mixed cell populations.
... read more ...Medical diagnosis of cells and tissues is an important aim in biospectroscopy. The data analytical task involved frequently is classification. Classification traditionally assumes both reference and prediction to be hard, i.e. stating exactly one of the defined classes. In reality, the reference diagnoses may suffer from substantial uncertainty, or the sample can comprise a mixture of the underlying classes, e.g. if sample heterogeneity is not resolved or if the sample is actually undergoing a transition from one class to another (e.g. rather continuous de-differentiation of tumour tissues). Such samples may be labelled with partial or soft class memberships.
... read more ...Gliomas are the most frequent primary brain tumours. During neurosurgical treatment, locating the exact tumour border is often difficult. This study assesses grading of astrocytomas based on Raman spectroscopy for a future application in intra-surgical guidance.
... read more ...