System and method for automatic molecular diagnosis of ALS based on boosting classification
AssigneeSiemens Medical Solutions USA, Inc.
InventorsLu-yong Wang, Amit Chakraborty, Dorin Comaniciu
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Abstract
A method for diagnosing Amyotrophic lateral sclerosis includes providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
Claims23
A method of diagnosing Amyotrophic lateral sclerosis comprising the steps of:
- providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values;
- and
- analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
A method of diagnosing Amyotrophic lateral sclerosis comprising the steps of:
- providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a plurality of patients, including patients diagnosed with Amyotrophic lateral sclerosis and control patients,
- statistically analysing said data to identity significant peak values;
- and
- training an alternating decision tree with a boosting algorithm using said significant peak values, wherein said alternating decision tree comprises a set of tests of said peaks values and associated prediction values.
A program storage device readable by a computer, tangibly embodying a program of instructions executable by the computer to perform the method steps for diagnosing Amyotrophic lateral sclerosis comprising the steps of:
- providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values;
- and
- analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
Dependencies are inferred from the claim text.